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Non-Banks and P2P Lending: SMEs Go Digital [LendingClub Case Included]

In this article, we uncover how fintech is reshaping SME lending and how alternative digital lending platforms are filling the gaps uncovered by traditional banks.

Small and medium enterprises are in constant need of additional funding. They rely heavily on credit lines, business loans, and financial leases as the main sources of funds. Companies use this money in order to:

  1. Invest in assets
  2. Hire new employees and pay for employee training
  3. Launch new products and services
  4. Pay workers’ salaries
  5. Explore opportunities for new business and more.

Needless to say, since the needs may arise urgently, SMEs need instant access to additional funding.

How Banks Work (Or Not) With SME

The traditional banking model required borrowers to pay a physical visit to an office and fill out numerous application forms.

As of today, many banks are launching fintech services and offering SME lenders online lending application processing, available anytime and from anywhere. The banks that failed to introduce online lending opportunities for businesses, saw a noticeable decrease in the number of SME clients during the pandemic.

Yet, in some cases, a bank loan is not a solution, and traditional banks have a number of downsides compared to alternative lenders.

  • Long loan origination time

Banks need to run a complex loan application assessment process to evaluate the borrower’s credibility and perform all the necessary verifications. This process is too lengthy for SME lending that needs instant access to funds.

  • Hidden costs involved

Too often, a bank loan involves many hidden costs. Loan servicing and additional services like loan restructuring may involve expenses that borrowers are originally unaware of.

  • Aggressive debt collection practices

If a borrower fails to pay the loan on time, banks tend to resort to penalties and aggressive loan restructuring practices – something, SME lenders find risky and, hence, unattractive.

  • Strict loan security requirements

The banks’ security requirements are sometimes too strict for SME companies to handle. For example, a bank may require a borrower to ensure that a loan is secured against a family residence, which is one of the reasons why business owners are considering non-banks and alternative lending platforms.

Alternative Lending on the Market

Alternative lending is a growing industry these days. By ‘alternative’, we mean any type of money loan offered outside of traditional banking institutions. The alternative lending industry is actively growing and is predicted to soon exceed $334 million expanding at a CAGR of 4.7%.

Alternative lending has assumed many forms. As of today, the most popular alternative lending models are:

  • Crowdlending

Also known as crowdfunding, this is currently its largest and most popular alternative lending segment, accounting for $248,7 million value of transactions. As the name implies, this model involves getting a large number of individuals to invest in a business. This model is especially attractive for startup companies, as opposed to established SMEs.

  • Peer-to-peer lending

Peer-to-peer lending involves the use of digital lending platforms and marketplaces connecting borrowers with investors. P2P platforms monetize on commissions and fees and use credit scores for the loan assignment process.

  • Direct lending from non-banking institutions

Non-banking financial institutions are financial companies that do not have full banking licenses. Investment companies, insurance companies, loan, and mortgage companies, as well as fintech infrastructure companies, are examples of non-banks.

How Digitization Changes Lending

The emergence of alternative lending models would have been impossible without the automation and acceleration of loan origination and servicing processes. Modern fintech software for lending leverages technologies like big data analytics, AI, machine learning, and robotic process automation (RPA) to process loan applications, and automate routine rule-based procedures.

Recently, the emergence of fintech infrastructure companies has made it easier for non-banks to enter the alternative lending scene and helped to accelerate lending software development. This, as well as the growing market demand for fast and easily accessible SME lending, has set the stage for the emergence of many non-conventional lending solutions.

The recently-emerged types of loans and alternative lending products for small businesses include:

  • Credit lines
  • Installment loans
  • Microloans
  • Merchant cash advances
  • Invoice factoring
  • Bridge loans
  • Equipment financing, and more.

The ease of loan origination, transparency, absence of hidden costs, and flexible debt collection policies is what make alternative loans so popular among SME and small business owners.

Top 5 Alternative Lending Platforms

If you’re considering lending software development and want to build an attractive platform for SME lending, looking at the existing solutions could set you on the right track. Here’s an overview of the top alternative lending tools that are currently disrupting the ways SME companies and private lenders are receiving lending services.

1. LendingClub

LendingClub is one of the best-known platforms for P2P lending and also the top-rated one. The platform connects borrowers and lenders and makes sure both user categories meet the optimal criteria for these roles. The borrower’s credit score, for example, should be at least 600 to apply for a loan. The maximum loan you can get is $40,000.

On the downside, borrowers can only change a loan repayment term once, and there’s a fee for loan origination. There’s also no mobile app available for loan management, although the loan application procedure is 100% digitized.

2. Upstart

Created by former Google employees, Upstart boasts to be using both alternative and traditional criteria for AI-driven loan application assessment. Instead of relying solely on the FICO scores, the platform will take into account the borrower’s job history and education. The maximum amount of money users can borrow is $50 000. The minimal credit score is 580, although Upstart may originate a loan for users with no borrowing background.

The cons are similar to LendingClub – no app to manage a loan, the limited choice to repayment terms, and a fee for loan origination.

3. SoFi

SoFi is a non-bank company, which works a lot like how a bank works, but with a substantial difference. Customers can open hybrid checking and savings accounts, apply for personal and student loans, and track monthly spendings. For small businesses, SoFi Lantern offers a range of credit products targeting almost any type of business needs in cooperation with multiple lending providers.

SoFi doesn’t charge any fees for personal loans and offers a mobile app for managing loans, earnings, and savings. On the downside, loan approval takes a long time, which could be a turn-off for many customers.

4. Prosper

A peer-to-peer lending platform for lenders with good credit history, Prosper is one of the oldest lending platforms on the market and has served thousands of clients over the past decade. It’s also one of the leaders in crowdlending. The required credit score is not disclosed, but it is reported to be 640.

The platforms offer an opportunity to apply for a joint loan, and a minimal investments amount is only $25%. On the downside, obtaining and servicing loans involves many fees and there are only two loan refinancing terms available.

5. Avant

Avant is believed to be the best option for bad and fair credit and flexible loan options. The funds that lenders apply for with this lending platform can be available as early as the next day. The platform has received excellent feedback for transparency: soft credit checks are available so that the borrowers can plan their budgets, and all fees and rates are explained in detail. The funds are available the next day, which is an indisputable advantage.

On the downside, the platform charges large loan origination fees, and there is no joint loan option. There’s also no direct payment of consolidated credit, a feature offered by most of the Avant competitors.

As you can see, these P2P lending platforms have both advantages and downsides, so there will always be a market demand for a more balanced solution. Looking at the pros and cons of the already existing loan applications will help you evaluate the optimal functional and non-functional feature set for your own P2P lending platform.

Things to Know Before Considering P2P Lending Software Development

If you’re contemplating building peer-to-peer lending software, below are some of the key things you should consider before you start creating alternative lending products.

P2P lending software advantages for borrowers:

  • Faster and easier loan origination
  • Flexible funding and spending options
  • Lower loan interest rates
  • Lower credibility requirements

P2P lending software advantages for investors:

  • Better earning capabilities compared to other lending methods
  • Broaden the range of available investing options
  • Flexible amounts of investments

The role of a platform:

It is also necessary to understand the role that a lending platform plays in the process of P2P loan origination and servicing. The platform serves to connect borrowers and investors, assesses credit risks for investors, evaluates the borrowers’ credibility, and enables lenders to conduct payments through the platform.

At the same time, the P2P platforms bear no risks and have no control over the profits (or financial losses) of investors.

Some of the key aspects to take into account before the development of lending software include:

  • Industry laws and regulations

Fintech is one of the most regulated industries, so you must comply with a number of laws that ensure customer data protection. Adherence to these laws with impact your app design and user journey.

  • Secure user verification and authentication

It is important that the loan applicants are verified users with proven identities. The process of verification should involve confirming and verifying users’ accounts, taxing, contact, and income details.

  • Risk assessment

To ensure minimum risks, borrowers should meet the following criteria:

  1. FICO score of at least 560
  2. At least one account in a bank
  3. Low debt-to-income ratio
  4. Good credit history
  • Usability and Design

Great user experience could propel you ahead of competitors, so make sure your app has all it takes to ensure seamless navigation and quick loan application and processing. A mobile app version is also something most users will definitely appreciate.

  • Important partnerships

Fintech solutions development will require you to enter a number of strategic partnerships. Most importantly, your success will depend on your banking and your software development partners, so make sure you collaborate only with trusted and reliable experts.

How Can You Make Money With Peer-to-Peer Lending?

Bearing no risks and acting as mediators between parties, how do P2P lending platforms generate revenue? Normally, P2P lenders will charge the borrowers fees for loan origination and servicing. There are two distinct fee categories:

  • Advance fees

These types of fees are charged once, immediately after a loan has been approved. The fees usually range between 1% and 6%, although some firms charge no upfront fees for loan origination. The fee amount is normally not disclosed until the loan approval is complete.

  • Ongoing fees

These fees are charged over the course of an entire loan servicing term. The platform usually capitalizes on margins charged on top of interest rates of regular payments. For example, if a borrower makes a payment with a 6,5% interest rate, the platform’s margin may equal 1,5%.

What is the Future of P2P Lending?

P2P lending is one of the most fast-developing industries these days. Driven by the technological advancements of the post-industrial era and the gap between market demand for loans and banks’ limited capabilities to serve all user categories, the market for P2P lending is estimated to reach $558.9 billion by 2027.

The small business lending segment is predicted to play a significant part in the development of peer-to-peer lending in years to come. This is largely due to the growing number of small businesses in the Asia Pacific region, and their need to attract funds in order to thrive and develop.

How Visartech Can Help to Develop Lending Software

At Visartech we are already familiar with alternative lending software development. Our product portfolio includes an award-winning loan management app aimed at helping users lend and borrow money from their close friends and family members.

We start off by helping you refine your product idea and create a detailed product specification listing all the requirements of your unique app. We will also offer you a range of services you can choose from. We can start with business engineering and helping you define a roadmap for your business, proceed with building an MVP and take you through all the stages of software product development.

Our technology stack includes Python, MySql, and AWS cloud for building secure solutions for fintech. At Visartech we focus on multiplatform development, so the platforms we build will be available on mobile operating systems like iOS, Android, and Windows, and desktop systems such as Linux, Mac, and Microsoft Windows OS.

Read also: How to Save Money on a Web Project for Businesses

Learn how to select the best tech stack for your web application

We choose Angular and React.Js for the front-end development of web and mobile applications (respectively) delivering a smooth user experience similar to that of a desktop app. Used in combination with the Electron library, Angular and React are also a perfect fit for building cross-platform and standalone apps.

Our frameworks of choice for mobile development are React Native, Xamarine, Flutter, Ionic, and Framework 7. You can learn more about our tech stack and our development philosophy in our company blog.

Core Features of P2P Lending Product Like LendingClub

To enjoy market success, a P2P lending platform should offer something distinctly unique, that would set it apart from other platforms. There are app features, however, which are absolute must-haves for all types of lending platforms. Below is a checklist of basic features that should be included in a lending software product like LendingClub.

Loan Calculator

The loan calculator feature enables users to see how much money they would have to spend on monthly loan payments and enables them to plan their expenses in advance.

Lender/Borrower matching

In SME lending apps, this feature should match borrowers’ loan applications with lenders willing to invest in their businesses and projects.

Document Scanner

A loan application involves submitting a lot of documents, so make sure your app includes a built-in document scanner.

Credit Score

The borrower’s credit score will be the main thing that lenders pay attention to, as they pick the potential areas for investments, so make sure you include it not a basic feature set.

Loan Origination

The loan origination feature should be as convenient and quick to access as possible.

Auto Investment

This feature uses artificial intelligence to eliminate the guesswork and automatically picks the most interesting investment opportunities for lenders.

How Much Does It Cost to Create a Custom P2P Product?

The development costs of building a P2P lending app will depend on the overall complexity of your solution as well as on the development timeline. Put simply, complex solutions will require developers to spend more hours building them. For example, if you want your app to include sophisticated data analytics and reporting features, this will surely impact the costs of application development. Third-party integrations and cross-platform availability will also dictate high app development costs.

Another factor affecting the development pricing is the location of your development team. Asia, South America, and Eastern Europe will have the lowest prices, while in the US and the EU the costs of app development will be substantially higher. On average, the price of loan software development may range from $20,000 to $50,000.

The Bottom Line

The SME lending niche has a lot of untapped potentials. While banks are unwilling to take risks and to assign loans to unsecured clients or clients with low credit ratings, alternative lenders are taking a different approach. With peer-to-peer lending offering higher flexibility, lower rates, and wider investment opportunities, the market for P2P lending apps for small and medium businesses is set for continuous growth.

Yet, building lending apps involves taking care of a lot of nuances and complexities. Ensuring seamless user verification, security, usability, and compliance is a challenge, especially if you are new to fintech software development. An experienced development partner, on the other hand, will guide you through all the stages of P2P software development and help you build a successful lending app.

Interested in lending software development? Contact us now to schedule a free consultation!


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Tech Navigator

Loan Management App Development: Basics, Types, Features & Costs

With digital transformation assuming a faster pace, loan management software is gaining wider adoption. Faster and more efficient than the legacy lending system, loan software is helping lenders to streamline and automate loan origination and processing. In this blog, we will provide a comprehensive overview of existing loan systems, and outline their advantages and approximate app development costs.

What is a Loan Management System?

A loan management system is a digital platform that helps automate every stage of the loan lifecycle, from application to closing. The traditional loan management process is meticulous, time-consuming, and requires collecting and verifying information about applicants, their trustworthiness, and their credibility. Further, the process involves calculating interest rates and supervising payments. A loan servicing software not only automates these procedures but also provides useful analytics and insights for lenders and borrowers.

The stage for the growth of the lending software market has been set by the ongoing digitization of businesses, and stricter regulatory requirements forcing financial companies to build loan software to handle growing workloads and meet regulatory challenges. The market for loan servicing systems is expected to reach $4,812 million by 2028 and is currently growing at a steady CAGR of 12,19%.

When it comes to loan software market share by region, North America is leaving other countries far behind. The staggering growth of the loan solution market in this world region is driven to a large extent by the state of the US mortgage market, now fully recovered from the crisis of 2007/8. With gross mortgage value reaching $83.3 billion in 2021, investing in mortgage app development makes perfect sense for lenders based in the United States.

The second-largest market share in loan software development belongs to the EU, where the GDPR law places high demands on data handling standards. In European regions not covered by GDPR, such as Eastern Europe, Russia, and Turkey, loan digitization has also assumed a faster pace.

How Loan Management Software Improves The Lending Experience

The process of loan assignment, calculation, and management is quite complex. As such, errors may occur at every stage: from wrongly accessing the credibility of a company or individual, to calculation and reporting. Moreover, the entire loan process involves the work of several employees and consumes a lot of effort. Failure to comply with numerous regulations not only leads to fines and restrictions but also has a negative impact on the company’s reputation. On top of that, the traditional lending process is deemed boring and tiresome by younger clients. As such, millennials and Gen Z are more attracted to companies willing to offer digital-only experiences.

Admittedly, smart lending software leveraging robotic process automation and big data is capable of coping with a lot of routine tasks faster than human employees, and with more accuracy.

The benefits of loan servicing software for lenders include:

  • Eliminating human error

It’s no secret, calculations are something that algorithms handle better than us, humans. In a lending system, there are just too many variables, which is why it is error-prone. The best loan servicing software, however, is created to completely rule out any errors, which is, undoubtedly, beneficial from every standpoint.

  • Preventing delays of payment

Not being able to collect a debt is something that most lenders are especially wary of. However, if they leverage a traditional loan management approach, they may not see it coming. Loan servicing systems, on the other hand, integrate analytic modules capable of detecting even the most subtle fluctuations in clients’ credibility and preventing payment delays in a timely manner.

  • Saving time

Loan management requires a great level of meticulousness and attention to detail. As a rule, a full-fledged team is required to deal with every aspect of a loan process. Needless to say, loan management carried out manually and based on paperwork takes up a lot of time. A digital lending system, on the other hand, automates the routines and enables your team to dedicate time to other important tasks.

  • Automated reporting

Automated report generation is another invaluable feature offered by a digital loan servicing platform. Accounting, tax reports, and invoices are often requested by regulatory bodies, borrowers and investors. These high urgency reports should be provided on demand, and contain information, which is 100% accurate. Loan tracking software enables lenders to quickly generate reports of different types and submit them urgently, in the required formats.

  • Increased revenue

This stems from all of the above: an automated loan processing system enables lenders to process more applications, assign and manage more loans, and see them all the way through closing all while detecting scams and preventing delays. The staff is free to oversee the process and focus on client relationships and looking for new business opportunities. This enables financial companies to gain a distinct competitive edge and to increase revenue.

Most Common Loan Types Managed by Loan Apps

If you’re contemplating building a digital lending solution, it makes sense to find out about the existing types of loan servicing software for private lenders and large organizations.

All in all, loan management systems available today fall into a number of categories:

1. Mortgage financing software

The mortgage apps are targeted to house buyers applying for loans. Free loan servicing software for mortgages is usually provided by established banks, although NBFOs may offer mortgage loans as well. There is also a category of apps simplifying the mortgage application process and refinancing mortgages.

2. Retail loan software

This software is targeted at helping customers obtain loans for all kinds of purchases – from consumer electronics to cars and real estate. Credit cards and loans against property also fall into this category. Retail lending is, in essence, an umbrella term for all individual loan types.

3. Student loan servicing software

A vast segment of personal loan software is dedicated to student loans. This type of loan servicing software helps manage financial relationships between students and educational establishments and is perfect for a loan application, calculation, tracking, reporting, and management.

4. Business loans

A business loan is used to finance investments into a startup company, or in the business development of an existing one. Companies and entrepreneurs can get a business loan from banks, non-bank financial companies, and online lenders. There’s a segment of loan servicing software for private lenders dedicated to peer-to-peer lending as well.

Top Features of Loan Management Software

In essence, loan software for lenders falls into three main categories.

Loan Accounting Software

Loan management comprises several important steps, and a loan calculator is one of them. Estimating the amounts of down payments and regular payments can be tricky, and this is where loan accounting software can lend a helping hand.

Online loan application software: There is also a segment of software dedicated solely to generating loan applications. Applying for a loan requires collecting and submitting lots of documents and collateral materials for verification and credibility assessment. Online loan application software enables businesses and individuals to easily fill in and submit applications for originating loans and facilitates the verification process for financial organizations.

Loan Processing Systems

These are the systems automating and simplifying loan operations such as calculating interests, fees, and commissions, loan rescheduling, reimbursements, and repayments.

Needless to say, there are comprehensive loan management platforms combining loan application, calculation, and management capabilities. Let’s now explore the must-have features of loan management systems for lenders.

1. Accessibility

An organization looking to build loan software may not have enough on-premise infrastructure capacities to ensure its non-disruptive operation, updates, and support. Scaling during peak workloads and handling an increase in the number of users and subscriptions may also be quite challenging. Using cloud infrastructure is best to ensure optimal scalability and availability.

2. Servicing different loan types

The more types of loans your money lending software is capable of servicing, the better. Lending applications that have a wide range of use cases, will surely attract more users than apps targeting only one specific loan type. A software to create loan estimate, for example, may have a broad range of applications from student loan calculations to estimating business loans and mortgages.

3. Centralized data storage

Every stage of a loan process involves working with customer data. The best loan servicing software stores this data in centralized storage accessible during every loan processing stage. A legacy loan management system, on the other hand, uses a siloed approach to data storage, which makes loan processing more laborious and lengthy.

4. Integrated credit assessment capabilities

Modern loan servicing software for private lenders should be able to instantly connect with credit bureaus and any other bodies responsible for credibility assessment. Such platforms should receive regular credit data updates and leverage big data analytics to assess the trustworthiness of applicants. The client’s social media activity, for example, can be a valid source of alternative assessment of credibility.

5. Automation of routine processes

Using robotic process automation to streamline simple rule-based processes is another must-have feature of a loan management platform. Automation accelerates loan origination and processing and accounts for increasing client satisfaction. On top of that, it helps to avoid human error.

6. In-built analytic modules

Leveraging AI and big data is another hallmark of excellent loan software for lenders. Not only does it help to generate reports but also enables companies to evaluate market trends, detect patterns in customer behavior and come up with new products and offerings.

7. Third-party integration

Another feature that most organizations find especially attractive in a loan processing system, is its capability to integrate with other enterprise software. ERP and CRM solutions are capable of enriching the lending system with data and insights. Systems integrating lending modules with software for remote sales personnel are also enjoying high popularity among lenders.

8. Security

Finance company software works with classified and highly sensitive data, and for both lenders and customers, security is a matter of paramount importance. An excellent lending system should possess advanced security capabilities, and ensure the highest level of customer, data, and network protection.

Read also: How to Save Money on a Web Project for Businesses

Learn how to select the best tech stack for your web application

Top 5 Loan Managing Software

Surely, the description of features and capabilities would not be illustrative without concrete examples. Below are some of the top-rated loan management software solutions for your consideration.

1. Borrow Money

Borrow Money is a personal small loan software aimed at providing payday loans – quick loans for covering emergency needs and purchases. The app is one of the top-rated personal loan solutions on Google Play and is fast, easy to use, and completely free. The testimonials are mostly positive, however, some users report a lack of transparency and little or no information about lenders.

2. TurnKey Lender

Powered by AI and targeted at business lenders, this app is truly turnkey software. The range of use cases is impressive: business loan origination, investor/borrower relations management, debt collection, and peer-to-peer lending to name a few. TurnKey lender has mostly positive testimonials; cloud deployment, accessibility, and easy setup seem to especially appeal to users. The cons include lack of out-of-the-box integrations with accounting software, limited reporting options, and some tech support issues (slow response).

3. Rocket Mortgage

Rocket Mortgage is a solution for originating mortgage loans. This app enables customers to apply for home loans online, and have instant access to all of their loan documents and tax forms. This software has a lot of positive testimonials, works on most devices and platforms. Some bugs have been reported, but the company claims to have taken measures to prevent them.

4. AES Student Loans

As the name implies, this app is for student loans. The digital loan solution is targeted specifically at managing tuition loans, acсessing documents, scheduling payments, checking balances, and creating loan repayment plans. The app has been rated 4/7 on the App store, and the reviews are mostly positive. All errors and malfunctions have been eliminated in 2020, according to testimonials, however, the app is available for iOS users only.

5. PayMyParents

At Visartech, we have used our loan application development expertise in loan software development to build a personal loan management platform for transferring money between friends and family members. PayMyParents is easy to use, has an attractive interface, and enables users to easily track their money transfers. This peer-to-peer lending app received broad media coverage in Australia.

How to Select a Loan Management Software

Navigating among a plethora of loan management solutions can be a tricky task. However, there are a few guidelines companies should follow when selecting the software for loan management.

Your Business Requirements

The needs of SMB companies are inherently different from those of the established enterprises. When selecting a loan management solution or thinking about bespoke loan software development, consider the type of your business and the current business goals. For example, some companies will prioritize loan diversity and base their decision on the variety of use cases and loan types. Others will go for a wide range of loan repayment options or versatile customization opportunities.

User Requirements

Further, you will strike a balance between a company strategy and the needs of your users. It is especially important to consider the needs of every group of users and stakeholders inside your company. This will give you solid info to fall back on when selecting the software for loan management.

Accessibility & Availability

Knowing the needs of your customers will help you decide on the way you want your loan software to be deployed and delivered. The SaaS model is currently the most frequent choice since it enables companies to use cloud infrastructure resources to power application backend and ensure optimal performance. Also, think about making your app accessible from a wide range of mobile devices and operating systems.

How Much Does It Cost to Make a Loan Management Solution

Surely, in many cases, out-of-the-box solutions won’t apply, so you may be faced with the question of creating your own application for loan management. If you plan to develop your solution in-house, the overall cost will include hiring and onboarding employees with relevant expertise and the cost of development tools and infrastructure resources. Admittedly, the expenses will be heavier than in the case of hiring a product development agency, but this approach may be justified if you want to keep all the expertise in-house and plan on developing more financing software as part of your business strategy.

In other cases, it makes sense to partner with a reputable software development company to power your development company. The loan application development costs will start at around $40.000 (check more details below), but will ultimately depend upon the complexity of the loan management solution that you plan to develop.

Software Development Services - Visartech Blog

Just to be precise, our business analysts have estimated the loan management product containing the basic functionality.

First, let’s think about what major app development parts go into such software development. In general, it includes:

  • landing page development,
  • frontend development,
  • backend development.

Various engineering teams are responsible for the implementation of these app development stages: design team, React team, and Node.js development team. The distribution depends on the core technology stack utilized for the app development.

What Is the Structure of the Involved App Development Teams?

The backend part of app development is like creating the brain of a loan application. So it requires solid technology specifically for this responsible task. Node.js is a perfect JavaScript run-time environment for this purpose.

The structure of a Node.js development team includes:

  • Project Manager
  • Node.js Lead
  • Node.js Developers
  • DevOps Engineer
  • Quality Assurance Engineers

To develop the landing page and the frontend part of a loan application, the best option is to involve the Design team and the React team.

The design team. is responsible for the appearance, layout, and possibly content of the website of an app. React is a JavaScript library for building user interfaces that implements the design results into the website or an app.

The structure of a design team includes:

  • Project Manager
  • Web Design Lead
  • Web Designers

The structure of a React development team includes:

  • Project Manager
  • React Lead
  • React Developers
  • Quality Assurance Engineers

Each specialist contributes to the overall appearance, stability, and performance of a loan management app.

Now let’s see what goes into the loan application cost starting from how the app will look like to the way it functions.

Landing Page Development for a Loan Application

The primary focus while presenting the loan services lies in creating a landing page that will outline the details of the loan services and distinguish all crucial conditions for getting a loan to customers.

Here is what goes into the landing page development.

Tasks/Features Optimistic,
UX/UI design 5 7
Website development 5 10
Deployment 2 3
Total 12 20

If you take 8 hours that a working day consists of, the landing page time in hours would be from 96 to 160 development hours.

Backend Development Cost of a Loan Application

The backend part is the main part of a loan app that drives its core functionality and helps people to actually receive loans automatically which also includes getting through verification, gathering the necessary documents, etc.

Below we’re gonna show you the rough estimation of the minimum and maximum amount of time required for the backend development of a loan management application.

Tasks/Features Optimistic,
Infrastructure setup 4 6
CI/CD 3 4
Authentication 4 6
User logic 5 7
Loans logic 6 8
Agreements logic 4 6
Synchronization with selected banks 7 10
Total 33 47

The total development hours required for the backend development of a loan management application range from 264 to 376.

Frontend Development Cost of a Loan Application

The same approach in estimation relates to frontend development of a loan management app.

Tasks/Features Optimistic,
UX/UI design 10 12
/sign up 4 5
Main dashboard 4 6
Loan creation 3 4
Smart contracts 4 6
Bank information 3 4
Loans management 5 7
User profile 3 4
Notifications 2 3
CI/CD 3 4
Deployment 2 3
Total 43 58

Translating it into the working hours, the required time for the frontend development ranges from 344 to 464 development hours.

The development hourly rates of various software development companies worldwide range from $50 to $120 and more.

So, if we multiply the rough estimation, made by our business analysts, to the global app development hourly rates, we will receive the following loan application price range:

  • Landing page costs from $4800 to $19,200.
  • The loan app backend development costs from $13,200 to $45,120.
  • The loan app frontend development costs from $17,200 to $55,680.

So, how much does a loan application cost?

You can already guess that the total loan management app development cost will take from $35,200 to $120,000 in USD currency.

As for the total development time, it may take around 2-4 months with the development of the aforementioned functionality.

By the way, loan applications are not only used in the financial sphere but ultimately become a widespread way to help users receive the services of any company much faster due to internal loan programs for the clients. The automated process of giving such a solution for your clients may greatly speed up your company’s growth in terms of a growing customer base and greater customer loyalty.

When you trust your clients, they trust you!


The requirements that the market currently places on loan products are quite high: quick loan application processing, flexibility, scalability, enhanced security, and regulatory compliance. A good loan management system, however, can is capable of handling these demands and helping companies reach their objectives.

At Visartech we are proficient at creating solutions for banking and fintech, including the system for loan servicing and management.

Looking for a tech partner to bring your ideas to life? Contact us now for a free consultation!


Interactive Tech

A Guide to WebGL: Interactive 2D/3D Graphics for Web Projects

There’s an obvious shortage of WebGL-related info on the web, although its importance for modern frontend, game, and web development is difficult to overlook.

In this guide, we aim to answer most of the questions related to WebGL. First off, let’s start with the WebGL definition.

What is WebGL?

WebGL (web graphics library) is a JavaScript application programming interface (API) for implementing interactive web graphics.

It allows you to run GPU-accelerated graphics directly inside an HTML canvas with no external plugins.

In other words, WebGL is a set of functions for drawing vector elements generated on the browser screen using the client’s graphics processing unit (GPU). What sets it apart from other tools is the quality and the complexity of visual elements that it can render. In fact, no HTML and CSS methods are capable of reaching quite the same impact.

Created by KhronosGroup, the WebGL technology is a direct descendant of OpenGL ES, used for 3D visualizations in games and VR. This innovative technology is currently utilized in 3D web design, interactive games, physics simulations, data visualization, and artwork.

Now, let’s get to its basics.

WebGL Fundamentals

Contrary to a common misconception, WebGL is not a graphic suite. Instead, it leverages code to draw geometric objects and a client’s GPU engine to rasterize graphic objects on an HTML canvas.

In order to understand WebGL basics, it helps to get a grasp of the basic 3D graphics theory and the rendering workflow. In a 3D scene, every point is a vertex identified by its x,y,z coordinates. The vertices are then connected to form a group of triangular shapes, known as primitives. The light source is applied to create the appearance of shadows and depth. The primitives are then rasterized to create a 3D vector graphic into a projection of a 2D pixel, which tricks the brain into seeing a 3D object on a 2D computer screen.

There are two types of functions in a WebGL code:

  • vertex shaders,
  • fragment shaders.

They are applied to tell the computer how to draw pixels on the screen. Although the main program code is written in JavaScript, shaders use GL Shader Language, which closely resembles C/C++.

A vertex shader calculates the coordinates of vertices, and the fragment shader is responsible for computing the pixel colors. The shading process requires the computer to perform tons of calculations to render images smoothly. It is often too much workload for the CPU to process. For this reason, WebGL leverages GPUs to distribute the calculations more efficiently.

In essence, WebGL API is all about customizing shader states to control what is being drawn on the client’s screens.

Fortunately, there’s no need to create programs manually to start adding 3D graphics to your website. You can use resources like three.js, PlayCanvas, or Unity WebGL build option to quickly design 3D experiences without much underlying knowledge of WebGL.

WebGL Key Concepts

Wrapping up what was mentioned above: a set of shaders tells a GPU how to turn lines of code into graphics. The shaders, in turn, can receive the data in a number of ways. Below, is a brief description of the four existing means of programming shaders, which, ultimately, constitute the key concepts of WebGL.

Attributes and Buffers

Buffers are data sets that can contain just about any of the parameters that you want to convey: colors, texture coordinates, vertex positions, etc. Attributes describe the process of how data is extracted from the buffers.


These are the global variables that you have to define before the shader functions are played out.


Textures are the data you can openly access in both shader types. As a rule, textures contain color and image data, but can actually contain any other data types.


Varyings are the methods of transferring data from between shaders. The values set in the varying will be applied as the shaders are executed.

Ultimately, WebGL is a sophisticated tool that uses complicated math and programming to generate graphics on users’ screens. Now, let’s talk about its advantages and its downsides.

WebGL Pros and Cons

When selecting the optimal tech stack for your purposes, it surely makes sense to know the pros and cons of the technologies you are going to apply.

WebGL Development Pros _ Cons - Visartech Blog

The most essential pros of WebGL are as follows:

  • It is native and free in most of the common desktop and mobile browsers
  • The technology is relatively fast and blends easily with HTML
  • No need to install anything on your device to run WebGL API
  • You can leverage external libraries to make outstanding 3D web experiences

Alternatively, the cons of WebGL are as such:

  • It is in many respects slower than its predecessor, OpenGL
  • The learning curve is quite steep for native WebGL programming
  • Has security vulnerabilities, although the vendors claim to be handling them
  • Can be responsible for browser crashes due to plugins incompatibility, etc.

Yet, if you’re looking for cross-platform and cross-browser compatibility, integration with HTML, and seamless interaction with all of its elements, WebGL is, surely, the way to go.

loyalty with interactive apps - Visartech Blog

Advantages For Business

Apart from the purely technical characteristics, WebGL has a lot of other tangible advantages:

  • Spectacular graphics and great user experience

WebGL makes 3D graphics come alive on users’ browser screens, and if you think that’s no big deal, think again. This API delivers the experience of real 3D and virtual reality via programming means, which is what makes this technology so impactful.

  • Fewer performance issues

WebGL uses the client-side hardware, therefore, it runs more smoothly on users’ screens and normally has low playback latency.

  • Cross-platform availability

WebGL will run on most of the common browsers, devices, and operating systems, which makes it available to all kinds of user groups.

  • More secure than other solutions

Before the advent of WebGL, the display of 3D graphics and animations in the browser required specific plugins that often crashed and caused many security vulnerabilities. Although WebGL is not completely free from security issues, it’s still more secure than any other similar technology so far.

  • Opening doorways to browser-based gaming

Browser-based gaming has always been in high demand, yet the only way to deliver it before WebGL was via the use of plugins, which involved lots of issues. WebGL will enable you to easily create web-based games and enter this promising market segment.

WebGL vs OpenGL: Similarities and Differences

WebGL is often compared to OpenGL. Also created by the Kronos Group back in 1992, OpenGL is an API for 3D and 2D graphics.

WebGL vs OpenGL - Visartech Blog

Sounds like there’s hardly any difference, however, there are a number of substantial nuances that we shouldn’t overlook.

  • Origin

WebGL originated from OpenGL ES2 which is a simplified version of OpenGL. OpenGL, on the other hand, is more complex and has a plethora of capabilities.

  • Features

When it comes to features, OpenGL has a wider scope: apart from the fragment and vertex shaders, it includes a greater variety of shader types.

  • Installation

While WebGL operates in browsers on desktop and mobile devices, OpenGL requires drives and needs installation.

  • Programming language

WebGL is mostly written in JavaScript, that is why it integrates so well with HTML and runs on HTML canvas. OpenGL’s native language is C.

  • Learning curve

The learning curve for OpenGL is steeper since it is substantially more complex. However, it gets easier to learn, once you master WebGL.

  • Use cases

OpenGL is applied extensively in gaming technology, to build video games. WebGL powers web services and apps (below, we will explore the examples of WebGL use in more detail).

In a nutshell, both OpenGL and WebGL are APIs for rendering images, yet, WebGL is better-suited for 3D graphics for web and building web-based services. WebGL is also easier to learn, can be enhanced with external libraries, and has better HTML and JavaScript integration.

Additional Libraries for WebGL

There is a great variety of WebGL frameworks and libraries that web developers can use to build web products. Instead of reinventing the wheel, applying prewritten elements can substantially boost the speed of web development.

Best WebGL Frameworks - Visartech Blog

Let’s now make a quick overview of some of the popular additional libraries used for developing applications with WebGL.

Unity WebGL

This is probably the first library you will come across if you’re looking for resources for WebGL development. When creating content within the web page, Unity WebGL allows web developers to directly interface with the browser’s JavaScript engine.

This way all the elements on the web page can communicate with each other. Unity WebGL provides different methods to do it: calling Javascript or C functions from Unity scripts, or even sending some data to the Unity script from the browser’s JavaScript.

Currently, Unity WebGL content is supported by most major desktop browsers. However, it doesn’t provide support for mobile devices yet.


Three.js is a library of prewritten JavaScript elements intended specifically for WebGL. The library features a plethora of effects, objects, cameras, scenes, materials, shaders, and other utilities. The manuals are still in the works, but a vast developer community on the web runs forums and discussions.

You can find its open-source repository on Github.


Another open-source library available on Github, Babylon.js often described as an engine for displaying 3D graphics in a browser. Its original language is Typescript, but its code is natively interpreted by all browsers supporting WebGL and HTML5. Babylon.js has an extensive range of applications, including gaming, crime data visualization, fashion, healthcare education, and military training.


Dedicated specifically to gaming, PlayCanvas is a 3D engine backed by a proprietary cloud-based development platform, which allows web development teams to edit web projects from multiple computers in real-time. The features include 3D animation, rigid-body physics simulations, and sound design. Open-sourced in 2014, the engine also has a free repository on Github.


This framework is meant for XR development (AR/VR and mixed reality experiences), and for displaying 3D and VR elements in a browser. AFrame is, essentially, a VR plugin, which features a range of components like animations, geometries, cursors, controls, etc.

The code generated by AFrame can run on most of the popular VR headsets, and can also display graphics on desktop and mobile devices. This makes AFrame a perfect library for making browser games capable of running on any device. The free repository is also available on Github.

Used mainly for the visualizations of geospatial data, is perfect for processing large data sets with WebGL and creating complex visualizations based on the analytics data. It integrates well with React and delivers excellent results when used in combination with MapboxGL, creating compelling 2D or 3D graphics overlay on top of the Mapbox maps. You can use the Github repository to create WebGL geospatial visualizations.

The total number of additional WebGL libraries exceeds 80, and describing all of them falls beyond the scope of this article. However, you can use an extensive list of libraries featured on Openbase to find the one that would perfectly suit your business purposes.

WebGL Best Practices

For WebGL to fully live up to its potential, experts have developed a range of recommendations to help achieve optimal performance. Some of the WebGL best practices are as follows:

  • Eliminating errors

Normally, a WebGL error message is displayed as a JavaScript warning. The problem with browsers that run WebGL is that after a certain amount of errors, they stop sending notifications about them. This really stands in the way of fixing your WebGL code. Do all it takes to detect all your errors using getError and eliminate them before the code gets too difficult to fix.

  • Understanding browser limitations

The extensions you apply may not be supported by the client’s browser. If you use extensions, think about the alternative ways to deliver the same experiences. Some extensions, however, offer cross-browser operability, so it makes sense to focus on them, as you build your product.

  • Understand system limitations

The system the WebGL code runs on may have limitations, and its capacity can be substantially different than that of your system. Hence, your project may have different playback speeds, performances, etc. Yet, WebGL code is usually not so resource-intensive, and many functions will be universally supported.

  • Clean your code whenever necessary

Delete objects clear WebGL contexts when you no longer need the rendering results. Cleaning up and deleting the unnecessary elements will help to accelerate code execution.

If you’re familiar with software development, you may also want to check out these pieces of advice, to help you achieve optimal performance of your WebGL apps.

5 Vivid Examples of WebGL Technology

What is WebGL used for?

Let’s now explore what WebGL can do, using these vivid examples. Some of the visual experiences below are truly captivating and successfully demonstrate just what WebGL is capable of.

1. Virtual physics laboratory

In the education segment, WebGL helps create simulations that previously were only possible in a real lab environment. At Visartech, we have built a virtual physics lab, helping students in American Universities to hone their academic skills.

2. Digital jellyfish

These 3D jellyfish look completely real, however, they have been created using WebGL. Note, that you can control such jellyfish parameters as size, speed, count, and water turbulence.

3D jellyfish WebGL example - Visartech Blog

3. ChemDoodle components

This is a JavaScript 3D library of chemical structures, reactions, and other interactive components. Created by iChemLabs, ChemDoodle is an excellent tool for chemical websites and scientists.

molecules WebGL example - Visartech Blog

4. Anatomic visualizations

A prominent WebGL example, this project by BioDigital visualizes all of the systems in the human body. Provides comprehensive visualization of treatments and diseases, and serves healthcare, scientific and educational purposes.

3d healthcare WebGl example - Visartech Blog

5. Rome music video

3 Dreams of Black is a music video by Rome made with WebGL. Created by Mirada in collaboration with director Chris Milk this video is quite spectacular and packed with gaming references. A must-see.

Rome WebGL example - Visartech Blog

Apart from these spectacular examples, a whole software development segment is dedicated to WebGL games. Some of the best browser games powered with WebGL include Shell Shockers, Derby Crash 4, and Bullet Force. Also, consider looking at the Google Experiments showcase of projects made using machine learning and WebGL.

How Much Does It Cost To Build a WebGL Product?

If you aim to leverage interactive 3D graphics for your web project, it’s only logical that you would be wondering about the costs of WebGL development services. The answer to this question will depend on your project’s scope, the type of solution you want to build, the full technology stack, the collaboration model you choose, and many other factors.

Generally speaking, the more complex your project is, the more time it will take to implement it. On average, the salaries of WebGL developers in the US range from $45 to $65 per hour, depending on your WebGL providers’ state of residence. The full cost of your WebGL project is usually calculated upon the completion of the product discovery phase after all the product tech specifications and requirements are carefully laid out.

Do bear in mind, though, that the hourly rates normally don’t include taxes, as well as other perks and benefits that in-house web developers normally request. Hiring an in-house team for a short-term WebGL project could blow your expenses completely out of proportion.

In this regard, hiring an external web development team may prove more justified from a financial standpoint. Besides that, usually, web development companies have a proven track of already implemented web solutions that can clearly show their expertise and add to your tech efforts.

Depending on their location, tech expertise, and some other factors, the hourly rates of web development companies may range from $50 to $120 where you receive the whole package of services – from project management to web development and quality assurance.

Final Thoughts

Despite the great number of product development agencies offering software product development services, solid WebGL expertise is quite rare. Web developers with relevant knowledge and skills are in high demand. All in all, it always makes sense to look for reputable product development companies with track records of successful web projects and proven expertise in creating 3D canvas graphics for the web.

At Visartech we leverage WebGL as one of the leading edge technologies for game development and extended reality solutions. Apart from tech expertise, we offer technology consulting and full-cycle support of your software products.

Thinking about harnessing WebGL potential? Get in touch with us now for a free consultation!



Fintech Innovations Revolutionizing the Finance Industry

Every day people spend a whooping figure of around 13 billion US dollars worldwide on online shopping. Generally, it creates a huge market of e-commerce sales estimated at roughly 5 trillion USD per year. And that figure only mounts up. Namely, fintech software makes this revolution happen. And that’s just the beginning!

A Story of a Fintech Startup Path From $0 to $36+ Billion in a Decade

Back in 2010, online shopping was already on the rise. However, the single hardest thing in setting up an online business was hidden under the payments integration. It was really difficult to accept fees on the web. The two Collison brothers started thinking about how to deal with the issue globally. They believed that it all could function a lot easier.

The initial idea was to focus on a technology solution for app developers who can merely integrate it into the e-commerce website or web app instantly. After that, the online retailer could simply accept and pay money. Within just two weeks the brothers have spent on creating an MVP, then performed their first transaction, and within a few years have built a fintech services ecosystem. That’s how Stripe was founded.

The developers’ community has appreciated the efforts in building a fintech product for them. There was almost no competition in the online payments niche. Paypal was the biggest competitor, however, it was more focused on building a product for consumers, rather than developers. Integrating payment API for business use cases into apps, websites, marketplaces at scale was the winning decision of the Collison brothers.

With a focus on developers, Stripe has substituted a lengthy enterprise sales cycle into a fast customer adoption. Amazon, Uber, Shopify, Postmates – all of these giants use Stripe to process payments. Actually, there’s a good chance you have already made a purchase via Stripe, even if you are not aware of it.

Success for the two young startup founders is far from a godsent. The secret souse is in a blend of vision, business acumen, and a little charisma. It all helped them to raise millions of dollars in seeds funding. Within just 4 years the Stripe’s valuation rises above billions. And after a decade, the fintech company is evaluated at US $36 billion.

So, How on Earth Did They Do It?

3 Keys to Stripe_s Success - Visartech Blog

Let’s see their route to success step-by-step. And possibly replicate it…

Step 1. Solve a Real Problem

While every side of starting an online business became simpler, payments processing has been far from an easy task. That’s how the Stripe idea was born.

With a focus on developers, instant setup opportunities, and flexible scalability, it has won the hearts of even the biggest tech companies like Facebook, Microsoft, Google, and so on.

Step 2. Focus on User Experience

They have been obsessed with customer satisfaction. The fintech product should be easy to use – just copypaste several lines of code and go ahead to enjoy smooth payments processing.

The tech documentation was clear as day that allowed e-commerce brands to integrate payment systems within a couple of hours.

Step 3. Evolve Continuously

Even if you are a trailblazer and a leading fintech company, the competition never sleeps. So to keep the top positions on the market, you should always continue innovating.

Stripe strengthens its leadership by special price offers, a worldwide presence, and custom software solutions built for specific business areas.

These are three simple steps that helped Stripe grew into a huge fintech ecosystem with Forbes 50 enterprises among its clients. Amazing, isn’t it?

So why not replicate this kind of success in the fintech arena? Especially since the market continues to grow and is in such a burning demand for fintech apps able to revitalize the financial sector.

Read also: How Much Does It Cost To Create an App?

Check the popular apps cost & factors influencing the app cost: app type, tech stack, key features, development stages, dev team

Let’s see where the fintech software potential lies and how you can hit the gold mine!

FinTech Market Overview

Adoption and investment in the global fintech niche have literally exploded over the past years.

FinTech Market Overview - Visartech Blog

Actually, there are a lot of arguments to make in order to realize how beneficial it may be to use a fintech business model. When it comes to business, the numbers are always among the top priorities.

  • The global fintech market is expected to grow at nearly 20% each year and its value should reach US $305 billion by 2025 (GlobeNewswire).
  • 60% of credit unions and 49% of banks in the U.S. seriously value fintech partnerships (FinancesOnline).
  • 25% of the fintech market holds digital payments processing (McKinsey).
  • There are around 12,000 ongoing fintech startups worldwide.
  • 46% of global fintech companies believe that artificial intelligence technology is worth investing in.
  • 77% of financial institutions are going to keep focussing on operations modernization to increase customer retention (PWC).
  • 46% of consumers prefer using only digital channels for personal banking (Singularity University).
  • 93% of worldwide companies utilize at least one cloud-based service. (Spice Works)

All these data point to one major fact – technologies are already changing the financial sector and the speed of their adoption is only growing.

Let’s just think about the way modern society manages personal finances. Nowadays consumers increasingly turn to digital-only banks that form a sort of a threat to traditional banking institutions.

Let’s name a few of such fintech giants:

  • Monzo: 251 – 500 employees, US $356 million total funding
  • Starling Bank: 501 – 1,000 employees, US $354 million total funding
  • Robinhood: 501 – 1,000 employees, US $1.2 billion total funding
  • Coinbase: 251 – 500 employees, US $547.3 million total funding
  • SoFi: 1,001 – 5,000 employees, US $2.5 billion total funding

Seems like the digital banking market is booming. It might be interesting for those looking to invest the capital into some serious and promising venture.

Key Fintech Software Types

Actually, there are many business models available in the fintech arena.

Key Fintech Software Types - Visartech Blog

Mostly, they have affected the following fields:

  • Banking
  • Insurance
  • Lending
  • Personal finance
  • Electronic payments
  • Venture capital
  • Wealth management

Let’s see what fintech software you can develop for these financial categories.

Online Banking Software

Digital banking allows consumers to perform transactions online fast and easily, manage accounts, view transaction history and do many other financial things.

Digital banking software utilizes such technologies as AI, chatbots, face and voice biometrics.

Benefits of online banking software:

  • 24/7 operating period.
  • Increased customers satisfaction due to fast transactions processing.
  • Reduced time to market compared to a traditional banking institution.
  • Extended customer audience due to bigger accessibility from mobile and desktop devices.
  • Easier rebranding.

Key features of online banking software:

  • Remittances provide cross-currency funds transfers.
  • Chat allows to securely exchange documents and private information.
  • Notifications provide users with real-time updates about their banking activities.
  • Reports give all data about user spendings and income divided into groups by various factors.

Insurance CRM Software

Such insurance software gives insurers the necessary information about customers and the ability to perform the usual activities on insurance operations management. It includes creating reports, generating documents, and tracking work efficiency.

InsurTech companies use IoT, mobility software, data science, etc. All these technologies allow insurance agents to increase customer satisfaction through personalized offers, control risks, and raise revenue.

Benefits of insurance CRM software:

  • Time and cost-efficiency due to operations automatization.
  • Boost operational effectiveness when agents are focused on sales rather than paperwork.
  • Tighter interactions with customers via digital marketing tools.

Key features of insurance CRM software:

  • Task management automates staff management.
  • Document generation fills the predefined information automatically.
  • Commission tracking provides data about employees’ efficiency.

Loan Management Software

People no longer need to contact banks or credit unions when seeking a loan. Financial technology companies provide lending services in a much more flexible way.

Benefits of loan management software:

  • Better performance due to no repeated data entry.
  • Improved sales with detailed data about each client.
  • Wider cross-selling opportunities.

Key features of loan management software:

  • Risk management helps lending companies to evaluate clients before the deal.
  • Collections and provisioning help to monitor the situation with delinquent accounts.

Payment Processing Software

Such financial software simplifies payment processing both for companies and individuals. It makes the experience of payment processing much more convenient.

Benefits of payment processing software:

  • Boosted efficiency due to operations automation.
  • Less staff is necessary for performing the same operations.
  • More clients can be attracted due to better customer experience.

Key features of payment processing software:

  • Account management gives personal accounts to users with the ability to control the payment flow.
  • Instant payments reduce the need to repeatedly enter user’s payment data.
  • Dispute management helps to conduct chargebacks if necessary.
  • Fraud protection makes sure the user’s money is secured from suspicious actions.
  • Analytics helps to control the payment processing activity.

Personal Finance Software

Such fintech solutions allow people to track their financial spendings and develop a personal savings plan.

Benefits of personal finance software:

  • Wider customer base due to better user experience.
  • Boosted efficiency due to automated operations.
  • 24/7 functioning.
  • Faster time to market compared to traditional personal bank accounts.

Key features of personal finance software:

  • Automatic payments processing via online banking.
  • Reminders point out the recurring transactions.
  • Reports allow users to control spending.
  • Currency conversion lets users exchange currency and make international payments.

Financial Risk Management Software

The regulation and compliance management industry combined with technologies proposes the emergence of the RegTech definition.

Among RegTech software solutions, you can notice financial risk management software. It is responsible for risk-based capital budgeting. This RegTech software can detect and analyze potential risks beforehand. It helps to make the needed actions to minimize or reduce such risks.

Benefits of financial risk management software:

  • Legal entities management around the world.
  • Uninterrupted business proceedings.
  • Platform availability at any place or moment.
  • Minimized human error due to processes automation.

Key features of financial risk management software:

  • Risk management gathers and analyzes data to minimize risks.
  • Automated email notifications are sent upon the configured settings.
  • Analytics helps to track professional metrics.
  • A security system helps to protect data.
  • Compliance task management allows controlling tasks flow.

Top 5 Most Used Technologies in Fintech Development

Looking for the right technology stack for your fintech project? You should consider choosing the one that can become its foundation, meet the project criteria and correspond to the project’s goal. Each programming language is the best choice for a particular purpose.

Top Languages for Fintech Software Development - Visartech Blog

Among the most popular programming languages for fintech development, the following technologies lead the global fintech market:

  • Java
  • Python
  • C++
  • C#
  • Ruby

Java is probably the most used programming language by financial institutions. However, fintech software needs definite features that Python can manage much better compared to Java or any other programming language.

Major Strategies for FinTech Data Protection

The financial sphere unlike any other requires enhanced data protection as the outcome may be reflected in the money loss. This is like a magnet for cybercriminals.

However, despite the growing number of cyberattacks globally, any company can perform actions to minimize cyber threats. A proactive rather than reactive approach to security eliminates the risks for both the financial company and its customers.

Fintech Security Challenges

The fintech industry holds so huge amounts of sensitive information like bank accounts, passwords, and personal data.
First, let’s consider the existing security challenges in the fintech industry.

  • Data ownership

It is important to control the rights delegated to particular people.

  • Compliance with security protocols

Fintech companies should strictly follow the regulations and norms of the country where they operate. Otherwise, it may lead to bad consequences.

  • Management of third-party components

To provide extended opportunities for customers and not fail with security flows, financial institutions should strictly control each third-party API.

How to Protect Data in Fintech

No worries, any risk can be mitigated by the proper preparation. Let’s check the modern approaches to deal with the above-mentioned challenges.

  • Encrypt sensitive data

Data encryption allows encoding data through complex mathematical algorithms. Only specific keys can decode this data.

  • Create secure code and architecture

The quality of your application’s architecture and code can not be underestimated. Buggy or messy code is easy to hack. The best way to prevent such flows is to conduct code reviews. Additionally, you can make use of the technology consulting services from a chosen vendor.

  • Secure authentication

Most cyber-attacks are conducted via lost or compromised authentication data. Secure and precise identification and authentication are vital for fintech software. There are many techniques developed to secure this data like two-step authentication or SMS verification, etc.

  • Code obfuscation

Code obfuscation is an effective way to trick hackers and protect fintech software from cloning.

Top 5 FinTech Companies Revolutionizing The Industry

There are thousands of companies already implementing technologies in the financial sector.

Top Fintech Companies _ 4 Key Steps to Their Success - Visartech Blog

Here is a list of top fintech companies transforming the fintech space.


This global payments platform operates in terms of always providing value. Users can easily transfer various items via secure links over any social media or messengers. They can send cash, airtime, coupons, pictures, etc.

What’s more important is that everything is conducted within a single platform. It is a brilliant example of how a simple idea can impact society.


This trendsetting online banking helps users to plan their finances. Simple charts and graphs make the process easy. It is created with a thought about its client.

It sometimes happens that when you lose a card, you need to freeze it. But once you find it, it is a big issue. This fintech solution allows you to turn on and off the card when you need it with a simple touch.

The fintech software provider doesn’t have physical branches, however, it is easily accessible through a global bank.


The fintech startup pushes Point of Sale (POS) systems much further than they are now. It provides free POS software and inexpensive hardware. It is reflected in tiny white squares connected to tablets and mobile devices.

This way small businesses like farmers’ markets or any other tiny stores move to this fintech software. It brings more security to financial operations. Enabling more users to utilize their services, the company is already evaluated at the US $6 billion.


Affirm is a fintech company that provides installment loans to consumers. They cooperate with such giant retailers as Walmart and e-commerce companies as Shopify. This fact hugely influences the wide customers base. Which in turn reflects in a big revenue of around US $600 million.


This fintech project acts as a peer-peer mobile payment platform. It is still a private company that has raised US $135 million of investments. At some point, the fintech company has created an Ethereum coin backed by the USD.

This fintech mobile platform allows exchanging currencies in real-time. It is a distinctive advantage of this company among the competitors.

The Key Ingredients For Success

There are many more top players in the fintech industry who were not afraid of conquering the challenges. Here are some things we can learn from them:

  • Search for a market opportunity.
  • Offer cost benefits for your consumers.
  • Create convenience for users.
  • Aim at future growth.

These are the benchmarks of top fintech software companies’ success. Now let’s move on to the trends that you can follow in order to be among the top fintech industry players yourself.

Top 5 FinTech Trends to Watch in 2021

Fintech developments undergo fast so those entrepreneurs, who wish to follow the innovations, will want to keep up. Here are the top trends that will change financial services in the upcoming year.

Wealth Management

Big technology companies like Amazon, Microsoft, and Google are already creating the digital infrastructure necessary for wealth management proceedings. Almost 75% of global top entrepreneurs claim they would use these services from the big giants.

Robo-Advisor Adoption

The financial advisory services with the artificial intelligence touch have become really popular. It is expected to grow even more – to the US $830 billion by 2024.

Regulation Technology

There are still too many operations performed manually. It is expected that regulation technology systems will be adopted in a much bigger volume. It is beneficial in both streamlining processes and saving costs.

Read also: How to Save Money on a Web Project for Businesses

Learn how to select the best tech stack for your web application

Co-Development And Joint Ventures

Fintech solutions continue replacing the outdated legacy systems on the market. Co-development and joint ventures are expected to appear in places filled with inefficiencies. Fintech software can reduce the sales costs in the back office of traditional financial institutions.

Non-Fintech Players

Even non-tech companies are looking for new ways to monetize their services and grow their customer base. Other fintech software companies continue expanding their services and enter other fintech niches like lending, etc.


The bottom line? Fintech is officially a major direction that will transform financial services for good. It is a serious player in the global economy that is rapidly growing and, for sure, here to stay.

Looking at the prospects fintech software can provide and the already functioning top fintech companies, there is a place for deep thought here. What can you learn from their strategies? The most obvious answer is to add a competitive value to your fintech product. That is exactly what made them succeeded in the first place.

However, you can find your own competitive edge – as the market is booming, there is always a certain spot for creativity.

Even if you are not representing the financial industry. As the latest trends state, there is room for everyone willing to monetize their businesses.

Just make a step into the world of fintech solutions with professional help in hand!


Tech Navigator

How To Build A Cloud-Based SaaS Application: An Ultimate Guide

The SaaS market is expanding and is predicted to amount to the staggering US $307.3 billion in 2026. There is no exaggeration – cloud-based SaaS has grown to be a dominant model for software development.

Below, we will uncover the following points:

  • SaaS definition, meaning what stands for SaaS products,
  • benefits of web-based software as a service,
  • existing SaaS app types including the variety of apps in the niche,
  • key functionality under software as a service model,
  • difficulties that stand in the way of creating SaaS solutions,
  • draft a comprehensive strategy for building SaaS services,
  • what tech stack and the volume of app development costs involved.

First off though, let’s define software as a service more specifically.

What is SaaS?

SaaS meaning stands for “software as a service”. Put simply:

Software as a service represents cloud-hosted applications accessible via a smartphone or web interface.

The first SaaS apps started getting developed around the beginning of the 21st century. The software tools we use daily, such as Dropbox, Canva, Slack, and Google Docs are, in essence, SaaS platforms.

To see what sets SaaS product apart from conventional software, consider some of these distinct specifics:

  • Payment

There is no necessity to purchase a license to use an application on a software-as-a-service basis. Instead, app vendors charge you a regular fee for a full set of its features.

  • Access

As the name implies, cloud-based apps are deployed in cloud infrastructure and may be accessed via a web interface or a mobile device.

  • Updates

Users don’t need to buy a new SaaS application version every time the product development team introduces updates. The dev team works on app development continuously, with zero impact on user experience.

Why SaaS Product Is So Popular: Market Overview

The adoption of the SaaS model, is, indeed, increasing across industries. Consider these impressive SaaS business stats:

  • Global spendings on SaaS R&D equal almost 20% of all corporate R&D in the US.
  • The Asia Pacific and North America are leaders in SaaS adoption.
  • Salesforce, the leading SaaS company, with market capital currently exceeding US $210 billion.
  • The overall number of players in the global SaaS providers market has reached 15,529 in 2020.
  • The market for web-based solutions has been estimated to grow at an 11.7% CAGR during 2020-2026.

Organizations’ efforts to keep abreast of digital transformation are the main reasons for embracing SaaS product development. Companies are also finding it highly beneficial for their businesses.

Advantages of Cloud-Based Model

Cloud-based SaaS solutions are confidently replacing conventional apps installed on local infrastructures.

SaaS product benefits - Visartech Blog

Let’s take a closer look at what companies find beneficial about SaaS products.

Ease of Setup

SaaS apps are web-based, so no complex setup is necessary. Neither do companies have to acquire infrastructure resources in order to run these cloud-based apps.


If their business expands, companies can easily scale their SaaS solutions. It allows to handle increasing workloads and accommodate more users. With traditional software running on top of an op-prem infrastructure, scalability often becomes an issue.

Convenient Billing Model

SaaS fees are included in the monthly operational expenses, which is easier for most companies to pay than a costly application license. If the SaaS application scales, the fees increase, but there’s no need to invest in additional infrastructure capacities.

Instant Upgrade

Users get to benefit from SaaS software upgrades as soon as they get deployed. With traditional software, to access improved features and added functionality organizations need to purchase and install a new app version.


Companies can use any SaaS application literally whenever they need and from any location, as long as there’s the Internet. With the work-from-home model likely here to stay, accessibility is becoming a must-have.

Easy Trial

SaaS products allow users to try them before they actually commit. Rather than investing in an application that may not fully live up to expectations, users can test-drive the app features and see if they meet their needs.

Types of SaaS Apps

Numerous kinds of applications are developed as SaaS solutions. The retail and eCommerce sectors are eager adopters of SaaS products. Wix and Shopify platforms are setting the standards for SaaS product management in the eCommerce industry.

Types of SaaS apps - Visartech Blog

The SaaS offerings, however, are not limited by these categories. Below is an overview of the existing app types on the SaaS product market.

CRM Products

SaaS products for managing interactions with customers help companies keep track of all the customers’ data, automate marketing efforts, provide insights and analytics, forecast future sales, etc. Salesforce, for example, is a leading cloud-based CRM software vendor, but there are numerous other players offering tools for similar purposes.

Project Management Tools

Most companies no longer invest in buying licensed PM software packages. Instead, they use SaaS products like Jira and Monday to manage workflows, assign tasks and track their completion.

Collaboration Tools

For example, such a SaaS product as Slack or Trello combines project management capabilities with collaboration features. The coronavirus lockdown has led to the emergence of web-based video conferencing platforms, such as Zoom, used extensively for both personal and business communication.

Apart from traditional collaboration tools, the new immersive solutions unmistakably stand out. With headsets and access to the Internet, apps like VR сhat or a collaborative platform for business enable users to run in-person meetings in a virtual environment.

Fintech Apps

Today’s cloud computing services also include SaaS products for billing and financial transactions. Cloud-based billing services like Stripe combine merchant accounts with payment gateways and subscription management capabilities.

At Visartech, we have expertise in SaaS application development which includes building finance management web platforms for families. A loan management system helps customers securely transfer money to their loved ones.

Marketing Software

Businesses also use web platforms to create, launch and evaluate promotion campaigns. This is also one of the most densely populated SaaS market segments with platforms like Microsoft Dynamics 365 Marketing among global leaders. Interestingly, while back in 2007 the number of marketing tools hardly reached several hundred, today more than 8 500 apps are assisting in businesses consolidating their marketing efforts.

Gamification Apps

A trend towards boosting productivity via gamification is now gaining momentum. For businesses, looking to maximize their staff engagement, here at Visartech we helped to build a mobile app for increasing productivity. A gamification app for business accounts for 33% growth in employee productivity. This SaaS application comes both in Android and iOS versions.

ERP Platforms

Web-based solutions are also replacing conventional enterprise applications. Robust ERP platforms like SAP feature dashboards and data analytics enabling businesses to gain insights into their operations.

Sports Apps

Coupled with extended reality technologies, cloud-based sports simulation platforms, such as SkyTrak are prominent examples of how SaaS development can benefit sports enthusiasts. This SaaS software enables users to hone their golf skills and play real-time games in a virtual environment.

  • Vertical SaaS Segment

These SaaS product types are specific to a particular business segment. There are web services, targeting construction, HORECA, insurance, manufacturing, or other industries. Veeva, for instance, is a tool for pharma companies enabling them to streamline their operations. Fleetmatics is a SaaS platform for logistics.

Here at Visartech, we have delivered a range of SaaS solutions for the E-learning industry. It includes full-scale digital ecosystems like e-learning platforms for schools and interactive 3D models for colleges equipped with virtual classrooms and course authoring tools. Not to mention, gamification apps for younger kids such as a learn-to-read gamified app.

By contrast, horizontal apps like Asana can serve companies across a number of industries. Dropbox storage service is also an example of a horizontal SaaS app, suitable for individual and business use.

Key Features To Consider While Creating SaaS Apps

As diverse as they may be, SaaS products share some of the essential specifics. If you are planning to build SaaS platforms, here’s a checklist of the main requirements to consider.

  • Functional Features

These features will become your users’ primary reason for using your software product. Zoom, for instance, helps users create and manage a video-conferencing environment. While Canva enables them to create compelling graphics using customizable templates.

  • Data Analytics

One of the hottest web development trends is integrating analytics tools into SaaS solutions. In the vertical SaaS segment, numerous reports and dashboards help customers gain insights about the success of their business efforts, current trends, etc. Retailers, for instance, may use analytics to track user behavior patterns and measure the success of their marketing campaigns.

  • Tools for Managing User Roles

The SaaS solution may have different access layers, so it may be necessary to introduce tools for managing user roles. In Clubhouse, for example, users may act as Listeners, Speakers, or Moderators, and the user roles are very distinct.

Top 8 Steps for Building Software-as-a-Service Apps from Ground Up

As such, SaaS product development is a complex process that requires a clear product roadmap with several logical steps.

SaaS development stages - Visartech Blog

Below we will guide you through the SaaS product development process. There you will clearly see the step-by-step roadmap implementation of building cloud-based apps.

Step #1. Research and Create App Tech Specification

Your goal at this point is to collect as much information as possible about your future customers, competitors, trends, and emerging technologies. Combined with information about the shortcomings of competitors’ apps, insights into users’ needs will enable you to come up with a truly unique SaaS product. If you’re contemplating building vertical SaaS business applications, study the developing tendencies in the industry you will be tapping into.

Read also: How Tech Consulting Firm Can Grow Your Business

Learn about tech consulting benefits, implementation & costs

At the end of the initial phase of the app development process, you will create a detailed and exhaustive technical specification containing your app’s functional and non-functional requirements and guidelines for product development. It may be the first step to your SaaS MVP development.

Step #2. Define Revenue Channels

How exactly do you intend to earn money with your SaaS solution? It is essential to answer this question before you embark on a full-scale software development project. This is one of the crucial steps for building SaaS apps, since it will determine the structure of your software product – something that can’t easily be undone, so think carefully.

The most widely spread ways to generate income include advertising, subscription, and freemium models. If you will be building a cloud-based marketplace, consider introducing transaction and/or selling fees.

Step #3. Decide on a Cloud Infrastructure Provider

To serve multiple users while securing their data, you need to select a proper cloud infrastructure company. Go for the proven and reputable vendors, capable of maintaining the best encryption and data center security practices. Your SaaS platform will run on cloud infrastructure, so choose the cloud service provider that will deliver an excellent level of scalability, reliability, and performance, capable of supporting third-party integrations.

Step #4. Create an MVP

This isn’t a full-fledged cloud-based solution just yet. Minimum Viable Product (MVP) is a trial application version with only the basic feature set. Deciding which features you will include in your MVP will require planning, though. Implement the features that will have the most impact while being the least financially expensive. Your goal at this point is to convince your investors.

Step #5. Test and Implement Changes

After you release an MVP, collect feedback. The best way to do it is to ask users directly what they like or dislike about your product. At this point, making changes to an app feature set or architecture will be relatively easy and not as painstaking as during further steps. The target group you choose for proof-of-concept testing could later become early adopters of your app.

Step #6. Start the End Product Development

This is the phase when your development team starts coding, using the chosen programming language, toolsets, and frameworks. The use of agile methodologies like Scrum, Kanban, or Extreme Programming, will streamline and accelerate the development while sticking to the specification guidelines and ensuring quality.

Today’s best practices suggest integrating QA testing into every stage of software development. Also, stay in contact with your development team over the course of implementing your SaaS app idea. Your goal is to constantly check if you stay on the same page and are correctly following product specifications.

Step #7. Promotion

We are listing promotion as a separate step, while in reality, it should unfold simultaneously with building your SaaS app. By the time your first release hits the web stores, you should already have a community of fans waiting for the final version.

Step #8. Release and Maintenance

Your SaaS platform or web service is ready for release as soon as you have completed all phases of QA testing. However, you’re not fully done with QA just yet: user acceptance testing will be the final stage of the quality assurance process and will take place after you publish your app.

After the final release, your SaaS developers will have to provide ongoing maintenance and application updates. Your users should be able to easily access tech support if issues arise.

Software Product - Visartech Blog

Tech Difficulties

The above software development steps are smooth and consistent. Yet, they by no means eliminate the tech difficulties. The common challenges in cloud-based apps development include:

  • Multi-Tenancy

The software you build will serve multiple customers. Regardless of the kinds of applications developed, cloud-based SaaS architecture should include multi-tenancy. You will also have to impose measures preventing customers (tenants) from accessing other customers’ data.

  • Customization

When building SaaS apps for different types of businesses and user categories, think about making them flexible and configurable for different user needs from the very start. Users should be able to customize the app for a maximum personalized experience.

  • Scalability

The web application you build should scale on-demand to accommodate more users or increasing workloads – preferably with zero outages and disruptions. Top-notch scalability is a must for enterprises that can afford zero downtime.

  • Connectability

The app you build should include APIs enabling any third-party developer to connect it to any other platform or service used by the organization. Your SaaS platform is likely to be used with other apps and systems, so it’s important to include connectivity into its architecture as you start development.

Ensuring scalability, security, and integration in a cloud environment is a tricky task, so do approach a choice of a cloud infrastructure provider carefully and responsibly.

Apart from a cloud provider, it is also recommended to approach the choice of your tech stack with the utmost consideration.

The Perfect Tech Stack for a Cloud-Based SaaS Product

Picking the best technologies is an essential procedure. According to the current web development trends, technologies commonly used in SaaS development are as follows:

  • Frontend

Front-end developers work with languages like HTML, Javascript, and CSS, and frameworks like Angular and React, and build a web app.

  • Backend

When choosing a programming language, your scope is pretty much narrowed down to Python, PHP, JavaScript, and their native development environments.

  • Backend storage

Consider MySQL, MongoDB, or PostgreSQL when choosing a perfect database for storage management.

The choice of servers is also limited to either Apache or Nginx.

Read also: How to Save Money on a Web Project for Businesses

Learn how to select the best tech stack for your web application

Ultimately, your unique application’s specifics will determine your choice of technologies.

Need to choose tech stack - Visartech Blog

Costs to Build a Cloud-Based SaaS Platform

Software development involves expenses, and building cloud-based platforms and services are no exception. To estimate how much exactly it will cost to build a SaaS app, consider its complexity and the hourly rates of your SaaS developers.

Read also: How Much Does It Cost To Create an App?

Check the popular apps cost & factors influencing the app cost: app type, tech stack, key features, development stages, dev team

Put simply, the more features your product includes, the more time it will take to implement them.

To create apps as complex as Slack, developers will have to allocate over 2600 hours of work, including iOS, Android, and UI/UX development. So the development time may take more than a year.

Based on the information from such platforms as Clutch or GoodFirms, the average development hourly rates fall into the range from $50 to $120. This, in turn, reflects in the total development cost of a Slack-like app: $130,000 – $312,000.

Of course, the final calculation will also depend on the qualification of the developers involved in your project. The junior developer’s rate will be considerably lower than that of a senior developer.

Costs to create SaaS app - Visartech Blog

How to Find a Development Team For a SaaS Project

If you’re looking to hire SaaS developers, you have three options:

  1. Looking for freelancers at global marketplaces like Upwork.
  2. Hiring internal employees to develop a SaaS application.
  3. Partnering with product development companies.

These options have both pros and cons:

  • Freelancers

While freelancers may charge less, their expertise and loyalty are questionable and hardly suitable for building a product that needs regular maintenance and updates.

  • In-house developers

An internal team gives you confidence and reassurance when it comes to product support and the integrity of the intellectual property. On the downside, the tech expert salaries in the developed economies are notoriously high, not to mention compensation packages, rental of office spaces, taxes, etc.

  • Product development companies

Partnering with product development companies, on the other hand, gives you access to global talent pools, and a choice of collaboration models – from full-scale project outsourcing to extending your team to bridge the skills gap.


The SaaS model looks highly attractive for both companies and individuals: ease of entry, flexible pricing, and excellent accessibility make users choose web-based tools and services over traditional software. The prospects of building cloud-based solutions look brighter than ever, yet, there are many challenges and pitfalls associated with web app development.

One of these challenges is the heightened demand for relevant high-tech expertise. To build cloud-based services and platforms, you need an app development team proficient in web development and experienced in creating cloud-based solutions. To strike a delicate balance between pricing and quality, consider hiring a reliable external SaaS development company to help you build a SaaS product that fully meets your business objectives.

Interested in SaaS app development? Connect with our experts now to schedule a free chat!


Tech Navigator

How Python Programming Language Can Scale Your Digital Product

One of the world’s biggest code hosting platforms, Github places Python on top of its PYPL Popularity index. This ranking is based on how often people search the Internet for coding tutorials. Obviously, there are reasons why they want to tap into Python app development. Other communities, such as Stack Overflow, are also placing Python on top of their rankings.

In this blog post, we will explore:

  • what makes Python so popular along with its well-established frameworks,
  • what applications of Python can bring the most value,
  • how it can propel your software development efforts.

Finally, find the big names of world-famous software companies utilizing Python for their product development at the end of the article.

What is Python?

On average, the number of languages for programming exceeds 700. Released in the nineties, Python is one of the oldest ones. Yet, today it is winning increasingly wider acceptance. So what makes Python stand out?

Whenever you google a Python description, you’re sure to come across the words ‘high-level’, ‘interpreted’, and ‘multi-purpose’. While the latter is easier to understand, the former terms deserve an extensive explanation.

The term ‘interpreted language’ means that the code gets executed immediately, without the need to compile it into the machine script. High-level means it’s high on the scale of abstraction and may even use the elements of human speech. By comparison, a low-level language is so close to an instruction set architecture of a computer, it is almost similar to computer commands.

The Python script is more compact and succinct than other coding languages. It has understandable syntaxis and is easy to master, which probably explains the immense popularity of Python tutorials across the web.

Choosing the Optimal Programming Language for Project

Is Python suitable for any product whatsoever? No programming language is universal, but choosing a tech stack wisely, can surely add to the product’s success.

The main aspects to think about, when determining the language for your codebase are as follows:

  • Your product type

Different products demand different skills and expertise. If you plan to build an app for a particular platform, you will need specific skill sets. For instance, you will need Objective-C or Swift to build native iOS apps.

Python, however, is almost universal and has a wide range of use cases. We will explore them further in more detail. Its versatility is one of the main reasons why companies choose Python for business project development to power their development efforts.

  • The scope and complexity

How large and sophisticated will be your end product, can also dictate your choice of the technology stack. You can leverage PHP if you plan to build a small-size website or web application, while midsize projects may demand expertise in Java and C#. One way or the other, larger projects will include different modules and integrations. So your tech stack will be more versatile. In this regard, Python is the best programming language for large-scale projects, although, not the ones requiring CPU-intensive tasks.

  • Scalability

Your product scalability is an important aspect to consider when choosing a programming language. In essence, scalability refers to a product’s capability to handle increasing workloads, as the business grows. If you need a highly scalable solution, choose a programming language that will scale fast.

Python scripts have to undergo interpretation, to become readable to devices at the machine level. It also has a slightly higher latency than most low-level languages.

  • Maintainability

As your product evolves, it will need maintenance, support, and updates. So choosing a programming language with a strong support community and knowledge base, is, ultimately, a wise decision. Python has a wide open-source knowledge base and a densely populated community of professionals.

One more aspect to be aware of is the people factor. Do consider the already available expertise of your in-house development team, as well as the access to the development talents. If the coding skill you need is scarce in your area, you may want to reconsider your choice of coding language.

  • Security

Security considerations are paramount for most industries, especially, finance and medical services. Different technology stacks will have different security capabilities, so don’t take this aspect off count when choosing a programming language.

Admittedly, Python is not completely free from security vulnerabilities. However, it has the lowest vulnerability index among a number of competitors: C, C++, Ruby, PHP, and Java. Notably, it is the most frequent language used as a weapon for hacker attacks.

Read also: How to Save Money on a Web Project for Businesses

Learn how to select the best tech stack for your web application

For many applications, Python may turn out to be an optimal language. The use of microservice architecture, however, allows integrating modules written in different languages into one project. Especially the one that is meant to be large-scale and complex.

The Pros of Python for Successful Web Product Launch

Released in 1991, Python has been in use for quite a while now. Decades past, companies are increasingly leveraging it for web development.

Benefits of Python in apps - Visartech Blog

So what are its advantages for website launch?

  • Short learning curve

For programmers who already know C++ or Java, Python is overwhelmingly easy to comprehend.

  • Simplicity

It is understandable and intuitive for us, humans. In fact, some experts prefer to call it a scripting language, since it uses scripts translated into machine code. Simplicity is deeply ingrained into its structure. Actually, Python coding principles resemble a Zen manifesto. Fewer lines also make it easier to debug.

  • Fast prototype development

In today’s competitive environment, the ability to quickly build a prototype and test a product idea can help companies gain an upper hand. Python is a great choice whenever you need proof of concept.

  • Integrations

Python is adaptable, and can easily integrate with other programming languages. Such integrations result in hybrid implementations: Jython, for example, stands for Python + Java, and CPython is a name for integration of Python and C.

  • Excellent for backend tasks

Need to incorporate AI and data analytics into your website? Python can help you integrate these and other technologies into a server-side backend. Its top-notch data visualization capabilities enable programmers to create charts and reports for advanced data representation via a website or a mobile app.

  • Asynchronous programming

Python supports asynchronous coding patterns, which makes it especially convenient for developers. Asynchronous patterns prevent an application from appearing blocked when performing a resource-intensive task; users can still navigate a UI while an operation takes place.

  • Versatile code-libraries, resources, and toolkits

The Python community offers a variety of resources, such as code libraries containing chunks of pre-written code that you can easily integrate into your project. Needless to say, it helps accelerate the development and explains why Python is so immensely popular.

  • Great frameworks

Finally, Python has a range of great frameworks that facilitate web development and account for great usability and coding experience.

Below, we will explore popular Python development frameworks in more detail.

Popular Frameworks for Creating Python Apps

The widest range of convenient programming environments is perhaps the most attractive thing about Python development.

Python frameworks comparison - Visartech Blog

There are over 20 frameworks out there, but here we will focus on the most widely used ones: Django, FastAPI, and Flask.


Among different development environments, Django is surely an unmatched favorite. A full-stack framework, great for developing complex applications rich with features, Django provides a lot of ready-made modules for basic app functionality so that developers can focus on building something truly unique.

In a nutshell, reasons for using the Django Python framework include:

  • Scalability

With Django, you can build websites and apps capable of scaling on-demand as your business grows, and of processing heavy traffic and workloads.

  • Integration with databases

Django works with most of the common databases. It enables developers to pick the most suitable one for a particular project or several databases simultaneously. This feature is not particularly unique, yet, very convenient.

  • Focus on accelerated development

Django leverages some of the popular development methodologies, to achieve faster time-to-market.

Interestingly, Django was initially built as a CMS system but later became a full-fledged framework. Apart from web development, companies currently use Python and Django to build:

  • financial platforms with data analytics capabilities,
  • enterprise-scale CRM systems,
  • booking, trade and real-estate platforms,
  • document management systems,
  • mobile backend.


Flask is a microservice framework and differs from Django in many aspects. Flask provides Python developers with the basic function set (routing, templating, WSGI compliance, and request handling) while offering modular design for anything else that they may want to add.

Flask has a number of tangible benefits:

  • Lightweight

It allows web developers to build a simple working application with just a few lines of code.

  • Extensibility and flexibility

It is possible to install and customize a huge variety of extensions to fit your needs.

  • Dependency-free

As a microframework, Flask has almost no dependencies on external code libraries. It is very minimalistic and operates faster.

  • Templates development

Flask enables web developers to copy UI and use it for multiple pages, including variables, when necessary.

  • Short learning curve

This aspect makes it an excellent tool for beginning web developers, although they have to know Python in order to use Flask.

Typically, companies use Flask to build web apps, from small to large ones. Websites, blogs and directories, big e-commerce websites, and social networks can all be created using Flask.


FastAPI is a relatively new Python framework that is currently extending its pool of users and becoming mainstream. It is an asynchronous framework, meaning it is intended for writing concurrent code. FastAPI is also the most recent of Python frameworks, inspired by Django, Flask, and another asynchronous development environment, Sanic.

So what’s making FastAPI so special?

  • Convenient interface

FastAPI combines Flask simplicity with relevant suggestions and editor support for easy Python development.

  • Support of asynchronous programming

This point reduces latency and increases performance.

  • Smart dependency management

FastAPI offers a convenient Dependency Injection method to control dependencies.

  • Simple integration with databases

Adding and integrating multiple databases is as easy as in the best-of-breed frameworks.

  • Comprehensive documentation

Excellent documentation and tutorials are easy to navigate and to learn.

The use case for FastAPI includes high-performance apps, machine-learning modules, or adding extra modules to existing Python apps.

What Type of Apps Can You Build with Python?

As you can see, the list of use cases for Python-powered apps is quite extensive. If you haven’t had a chance to meet the results of Python development, learning exactly what products Python can contribute to may be confusing. Below we are going to spill some light on the subject, so read on.

Types of Python apps - Visartech Blog

As of today, app development companies are leveraging Python in areas like:

  • Web development
  • AI/ML, Data science
  • Desktop GUI
  • E-commerce apps
  • Enterprise applications and ERP systems
  • Blockchain
  • Testing
  • Web parsers
  • Chatbots
  • Game development
  • DevOps, etc.

Read also: How Much Does It Cost To Create an App?

Check the popular apps cost & factors influencing the app cost: app type, tech stack, key features, development stages, dev team

Python Applications per Industries

The use cases by industry are equally revealing. The business applications for Python continuously extend as companies embrace digital transformation. Today, the industries leveraging Python for product development include:

  • Finance

Python has been acknowledged as the main programming language for fintech apps and platforms. It’s not just the fintech startups, though. Market incumbents, for example, Bank of America, have taken serious steps to shift from their legacy software and to create apps with Python.

  • Healthcare

Healthcare providers use Python-driven data analytics and machine learning in predictive diagnostics, reading medical images, patient care management, and personalized medicine.

  • Entertainment

Recommendation engines, suggesting movies and songs based on previous choices and preferences are vivid examples of how Python is used in entertainment.

  • Retail

Retailers leverage Python for customer behavior analysis, targeted advertising, predictive planning, creating personalized offers and loyalty programs, etc.

  • Manufacturing

In manufacturing, Python is used to create custom enterprise applications and ERP systems.

Software Product - Visartech Blog

Using Python for MVP Development

For budding startups, fast prototype development can literally become a matter of life and death. That is why entrepreneurs across industries turn to custom Python app development to quickly build and test their MVPs.

Python is a popular choice for MVP development, and app development companies prefer to use the Django framework.

The reasons for Python Django development are obvious:

  • Simplicity

Python emphasizes simplicity, which accounts for fast product development.

  • Portability

For making a prototype in Python, Django development has yet no rival: its code libraries enable web developers to easily build common features and save valuable time.

  • Scalability

Django architects apps in a manner that lets the developers easily scale them when necessary.

Read also: 10 Reasons To Write Tech Specification for a Startup

Why tech documentation is crucial and what happens without it

Ultimately, Python on a Django framework allows you to quickly build powerful apps that will scale as your business expands.

Top Apps Built With Python

Saving the best for last, here’s an overview of the different kinds of applications developed with Python. Some of these names may include your long-term favorites.

Top apps use Python - Visartech Blog


Initially, the world-renown image-sharing network was built with Python as a simple website on the Django framework. Surely, since then the company’s tech stack has gotten more complex. Still, Instagram started off as a Python-powered website.

Simplicity is the reason why the Instagram tech team chose Python in the first place. Currently, as the pool of users extends, they are reaping the benefits of its scalability and efficiency.


One of the world’s best music apps, Spotify uses Python as its core programming language and is written on asynchronous frameworks. The application’s backend system is powered by Python by 80%, although it includes other interdependent services written in Java or C and C++.

The speed is what the Spotify team loves about Python since it places high importance on time-to-value.


This popular Internet TV service with its recommendation engine winning over 33 million subscribers worldwide is also built with Python. Netflix devs are free to pick the optimal tech stack for their tasks, and, notably, they were increasingly choosing Python since 2013.

Netflix devs choose Python over other languages for a variety of reasons. Among them are the wealth of libraries and resources, clear syntaxis, and large developer community.


The creators of this ride-sharing service have been initially contemplating Ruby but found Python more suitable for their purposes. The Uber platform performs a lot of mathematical calculations that Python handles better. Also, it works effectively with data visualizations, which is important for Uber.

A short learning curve is one more aspect making it so attractive: amidst the shortage of developers, hiring the ones with working knowledge of Python helps close the staffing gaps.


Being the largest social network, Facebook has an immense impact on the world in general. The company technology stack is a complex mix of interconnected services.

However, according to the Facebook team, Python accounts for 21% of the platform’s code. App developers use it for two purposes:

  • production engineering,
  • to ensure infrastructure scalability.


Google is now a synonym for Internet search. From the very start, the creators of the world’s top search engine decided to use Python whenever they could to provide fast development and easy maintenance, and C whenever low latency was crucial.

By now, it would be no exaggeration to say that Google is one of the heaviest Python users. Another Google service, the world’s largest video streaming platform Youtube is written almost entirely in Python.

These names speak for themselves. Obviously, apart from the efficient tech stack, these world-famous apps and services have other prerequisites of staying on top of the game, including successful business models. However, it looks like Python could be an important part of their success.


The range of Python business use cases keeps extending. As of today, it is increasingly used in web, app, and enterprise product development. Surely, Python has its limitations, such as a slightly higher latency. Yet, the seamless integrations with other programming languages make it almost universal.

With a robust developer community, rich code libraries and resources, and a number of diverse development frameworks, Python has all it takes to become your instrument of choice for propelling your business forward.

Python enables you to accelerate development, create MVPs fast, and test them for acceptance. Moreover, it helps to drive digital transformation with emerging technologies, and build reliable and scalable future-ready software solutions.

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