Fintech Development Services

OUR MAIN SERVICES

We build innovative secure solutions powered by the latest technologies for enterprise-level companies and startups. With more than 6 years of experience in banking and financial services software, our dedicated teams have developed Fintech solutions in digital banking, payment and investment management, crypto, trading, and hedge fund spheres.

WHY INVEST IN FINTECH SOFTWARE DEVELOPMENT?

The financial industry is currently changing at an enormous speed. Traditional banking no more satisfies customers' demands for high automation and personalization. Financial providers, in turn, strive for faster delivery processes, better operational agility, and more reliable security practices than conventional financing can offer. Therefore, companies of different scales today opt for Fintech software development. Fintech software not only accelerates the whole payment process and provides consumers with better transparency and personalization, but it also encrypts and connects all the transactions so that they are completely secure. Through the usage of blockchain technology, Fintech software eliminates the need for third parties that make it a significant cost-saver for both: businesses and consumers.

INVERITA CUSTOM FINTECH SOLUTIONS

Mobile Banking Software

We build powerful mobile banking solutions that function

as a digital extension of your bank. Using mobile banking software, customers become able to transfer money, manage transactions, and leverage any mobile payment capacity 24/7. With vast blockchain expertise, inVerita ensures secure and limpid transactions so that your customers have no concerns about the safety of their data and money.

Trading

inVerita offers the development of online trading platforms for banks, investment companies, brokerage firms, and private investors. Our software solutions are developed on the basis of advanced forecasting mathematical models which allows our clients to make correct and accurate decisions. Using big data enables our customers to precisely calculate profits and potential losses, predict market trends, and ensure fast transaction execution.

Investment Management

Custom investment management solutions developed by our engineers provide comprehensive analytics and reports,

built-in advisory functionality, data-driven stock market, mechanized transactions, and trading. We cater to large investment funds and private wealth businesses to manage their client relations, trade executions, eliminate risks, and provide access to real-time global data.

Hedge Fund Solutions

Our dedicated development team provides fully integrated hedge fund software solutions. The application allows investors to develop an outstanding portfolio of hedge funds, manage risks, simplify compliance while providing the highest level of control and transparency. Tracking and managing all of your investments in a single unified service significantly increases productivity, enhances customer ROI, and boosts collaboration within your company.

CASE STUDY

Geneva Trading

inVerita helped Geneva Trading to integrate with cryptocurrency exchanges with the use of REST, WebSockets, and FIX protocols. Our dedicated development team built a robust cross-platform web service that communicates with various exchanges on multiple data transfer protocols and converts the received data into a single format, passing it on to the client application. The solution expanded the client’s platform to support a wide range of trading cryptocurrencies without compromising security and flexibility.

See Full Case Study

“They never considered anything to be an obstacle, and they said yes to everything we asked of them.”

Founder,

Cryptocurrency Company

See Full Case Study

Why Partner with Us?

Dedicated Development Team

In inVerita, we start any project with initial analysis to better understand the requirement of your business and market supply and demand. After a thorough examination and risk assessment, we develop, design, and implement the software. A dedicated development team that works exclusively for your project makes sure the end product corresponds to the business demands of your company and immediately makes any changes if requested.

Security and Compliance

With a deep knowledge of the financial regulatory environment and potential risks, we provide our clients with progressive risk analytics and compliance solutions that guarantee meeting regulatory requirements without any extra expenses. Through the implementation of blockchain technology, we ensure the safe storage and transfer of your data.

Vast Experience

Our software engineering team has strong expertise in innovative technologies. With a flexible customer-oriented approach, we develop a wide range of high-performing solutions, including RPA for banks, AI-powered services, and blockchain technology. We will help you prevent fraud, predict customers’ needs, and scale faster while minimizing service delivery costs.

Technologies We Leverage

.Net

Java

Android

IOS

JavaScript

Node.js

A powerful Fintech software solution improves business processes with fast and automated workflows. It allows you to secure the data, manage it in a transparent and smooth way, and simultaneously save time and capital. Free of many drawbacks of traditional banking, Fintech drastically increases accessibility and enhances the efficiency and convenience of transactions

GET IN TOUCH

Drop us a line to discuss the scope of your project

Frequently Asked Questions

How much does custom fintech software development cost?

Custom fintech software development costs range from $80,000 to $500,000+. A fintech MVP with user authentication, account management, and basic transaction processing typically ranges from $80,000 to $150,000. Full platforms with real-time payments, AI-driven fraud detection, lending modules, and multi-jurisdiction compliance range from $200,000 to $500,000 or more. Compliance infrastructure such as PCI DSS and SOC 2 Type II typically adds 15-25% to baseline development costs.

What compliance standards does inVerita address in fintech development?

inVerita addresses PCI DSS for payment card systems, SOC 2 Type II for cloud-hosted financial platforms, GDPR for EU-facing products, AML (Anti-Money Laundering) regulation requirements, and KYC (Know Your Customer) identity verification workflows. Compliance controls are integrated from the discovery phase, including data classification frameworks, access control hierarchies, encryption standards, and audit log systems. For platforms requiring multiple certifications, inVerita coordinates with third-party compliance auditors throughout development.

How is AI being used in fintech software today?

AI is applied across four core areas in fintech: real-time fraud detection and transaction risk scoring, credit underwriting and lending decisioning, customer personalization and financial advisory, and regulatory compliance automation. Machine learning models analyze transaction patterns to detect anomalies before transactions clear. inVerita builds AI as modular services that integrate with core banking platforms and data warehouses, with monitoring pipelines that track model drift and performance degradation over time.

How long does it take to build a custom fintech application?

A custom fintech application typically takes 4 to 12 months from discovery to production. A digital wallet or payments MVP reaches production in 4-6 months. A full digital banking platform with lending, investment, and multi-currency capabilities requires 9-12 months, with additional time for compliance audits and third-party security assessments. inVerita uses milestone-based iterative delivery, making functional modules available for testing and regulatory review throughout the development cycle.

Can inVerita integrate with existing banking infrastructure and third-party APIs?

Yes. inVerita integrates custom financial software with core banking systems, payment gateways (Stripe, Adyen, Braintree), open banking APIs, financial data aggregators (Plaid, MX), KYC/AML verification providers, and trading data feeds. For legacy banking infrastructure, inVerita builds middleware that translates between modern REST/GraphQL APIs and older SOAP or FIX protocol interfaces, enabling gradual modernization without system-wide replacement.

How is AI transforming financial services and banking in 2026?

AI is transforming financial services through real-time fraud detection, automated credit decisioning, hyper-personalized financial products, and agentic AI that executes multi-step financial workflows autonomously. AI-powered fraud detection models analyze 100+ behavioral signals per transaction, reducing fraud losses by up to 50% while cutting false positives by 60% compared to rule-based systems. AI lenders now approve over 80% of loans instantly using alternative data signals. Banks deploying AI at scale report 20-35% cost reductions in automated functions.

How does AI improve fraud detection in banking and fintech applications?

AI fraud detection uses machine learning models trained on billions of transactions to identify anomalous patterns in real time, flagging suspicious activity before transactions clear. Modern systems analyze device fingerprinting, behavioral biometrics, geolocation signals, transaction velocity, and network relationship graphs simultaneously. This multi-signal approach achieves 95%+ detection accuracy while reducing false positives that frustrate legitimate customers. inVerita builds custom fraud detection components as modular ML services that integrate with existing payment processors and core banking infrastructure without requiring a full platform replacement.

What is agentic AI in fintech and how is it being used?

Agentic AI in fintech refers to AI systems that autonomously execute multi-step financial workflows without human approval at each step. Examples include AI agents that monitor portfolio risk and automatically rebalance positions when thresholds are breached, compliance agents that continuously screen transactions against sanctions lists and file suspicious activity reports, and customer onboarding agents that complete KYC verification, risk scoring, and account setup end to end. Unlike traditional AI that surfaces recommendations, agentic systems take action, making them significantly more operationally impactful but requiring careful governance frameworks.

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