170+

Software Engineers

50+

Successful Projects Delivery

15+

Years of Experience

10+

Industries Served

170+

Software Engineers

50+

Successful Projects Delivery

15+

Years of Experience

10+

Industries Served

170+

Software Engineers

50+

Successful Projects Delivery

15+

Years of Experience

10+

Industries Served

Orchestrate Intentional Cloud Architectures for Flexible & Scalable Modernization

Our 150+ IT professionals specialize in engineering unified, vendor-agnostic cloud environments that maximize flexibility while minimizing operational complexity. Our transformation plan makes sure your system can grow easily and follows all the rules, using containerization and serverless methods to improve efficiency across different cloud providers (AWS, Azure, GCP).

Analyzing & disentangling legacy systems and mapping interdependent infrastructure

A recent survey from the World Economic Forum reveals that over 80% of private equity workflows are already leveraging technology for deal sourcing, due diligence, and portfolio management. To assist firms in today’s AI-powered technology landscape, Venas optimizes the data acquisition and transformation process, eliminating unnecessary redundancies in your operational workflows. Our solution creates a centralized source of truth, greatly improving the quality and efficiency of investment committee reporting.

Design the most optimal approach for distributed computing cloud environment for your fintech & banking businesses

Our platform solves the critical data accessibility challenge by featuring a robust, The ready-made “Venas Data Connector” easily connects with over 30 public and private sources, such as regulatory filings, news feeds, specialized app store data, and job information from sites like LinkedIn and Glassdoor. The foundational layer seamlessly integrates structured and highly fragmented unstructured textual data, guaranteeing regular refresh cycles and low-latency real-time reporting. As a result, Venas ensures that your data lake is always filled with a variety of high-quality information needed for careful checking and tracking of different types of assets.

Operate & optimize multi-cloud systems for continuous integration/development in fintech & banking

Venas's core system features exceptional configurable flexibility, allowing for rapid deployment of tailored modules that meet specific portfolio needs. This solution is flexible enough to adapt to the data storage system, where the data lakehouse protects and combines data according to your organization's unique rules and reporting needs. This architecture is inherently scalable, guaranteeing that as your assets under management and data requirements increase, the platform can effortlessly grow without the need for significant re-engineering.

Analyzing & disentangling legacy systems and mapping interdependent infrastructure

A recent survey from the World Economic Forum reveals that over 80% of private equity workflows are already leveraging technology for deal sourcing, due diligence, and portfolio management. To assist firms in today’s AI-powered technology landscape, Venas optimizes the data acquisition and transformation process, eliminating unnecessary redundancies in your operational workflows. Our solution creates a centralized source of truth, greatly improving the quality and efficiency of investment committee reporting.

Design the most optimal approach for distributed computing cloud environment for your fintech & banking businesses

Our platform solves the critical data accessibility challenge by featuring a robust, The ready-made “Venas Data Connector” easily connects with over 30 public and private sources, such as regulatory filings, news feeds, specialized app store data, and job information from sites like LinkedIn and Glassdoor. The foundational layer seamlessly integrates structured and highly fragmented unstructured textual data, guaranteeing regular refresh cycles and low-latency real-time reporting. As a result, Venas ensures that your data lake is always filled with a variety of high-quality information needed for careful checking and tracking of different types of assets.

Operate & optimize multi-cloud systems for continuous integration/development in fintech & banking

Venas's core system features exceptional configurable flexibility, allowing for rapid deployment of tailored modules that meet specific portfolio needs. This solution is flexible enough to adapt to the data storage system, where the data lakehouse protects and combines data according to your organization's unique rules and reporting needs. This architecture is inherently scalable, guaranteeing that as your assets under management and data requirements increase, the platform can effortlessly grow without the need for significant re-engineering.

Analyzing & disentangling legacy systems and mapping interdependent infrastructure

A recent survey from the World Economic Forum reveals that over 80% of private equity workflows are already leveraging technology for deal sourcing, due diligence, and portfolio management. To assist firms in today’s AI-powered technology landscape, Venas optimizes the data acquisition and transformation process, eliminating unnecessary redundancies in your operational workflows. Our solution creates a centralized source of truth, greatly improving the quality and efficiency of investment committee reporting.

Design the most optimal approach for distributed computing cloud environment for your fintech & banking businesses

Our platform solves the critical data accessibility challenge by featuring a robust, The ready-made “Venas Data Connector” easily connects with over 30 public and private sources, such as regulatory filings, news feeds, specialized app store data, and job information from sites like LinkedIn and Glassdoor. The foundational layer seamlessly integrates structured and highly fragmented unstructured textual data, guaranteeing regular refresh cycles and low-latency real-time reporting. As a result, Venas ensures that your data lake is always filled with a variety of high-quality information needed for careful checking and tracking of different types of assets.

Operate & optimize multi-cloud systems for continuous integration/development in fintech & banking

Venas's core system features exceptional configurable flexibility, allowing for rapid deployment of tailored modules that meet specific portfolio needs. This solution is flexible enough to adapt to the data storage system, where the data lakehouse protects and combines data according to your organization's unique rules and reporting needs. This architecture is inherently scalable, guaranteeing that as your assets under management and data requirements increase, the platform can effortlessly grow without the need for significant re-engineering.

Provide Custom AI-Driven Features Across Financial Procedures

We develop customized, high-impact AI/ML models and embed them directly into financial workflows to augment human decision-making and automate statistically heavy processes. Our focus is on building understandable, robust, and audit-ready AI applications that deliver measurable value.

Identify and define approaches for statistically heavy use cases

Our experienced data engineering team identifies workflows bottlenecked by high-volume, complex data, such as market prediction or portfolio risk modeling. We define the optimal model architecture (e.g., deep learning for pattern recognition, causal inference models for intervention analysis) and establish a rigorous feature engineering pipeline to ensure data integrity and maximize model predictive power.

Establish asynchronous settings aiming for AI + Human Synergy

We architect systems that facilitate asynchronous human-in-the-loop (HIL) validation. AI models process data and generate confidence scores and recommendations. In modern fintech & banking operations, human only analysts check only the most risky or uncertain cases using a special validation interface, which helps to use human skills more efficiently and reduces mental effort while also helping to make the model better over time.

Enhance AI-ready data to accelerate code translation

Model training relies on clean, accessible data. We engineer data harmonization and transformation layers (ETL/ELT) to create feature stores of high-quality, normalized data. For legacy fintech & banking systems, we leverage generative AI tools to assist in accelerating code translation and data extraction, enabling faster utilization of historical financial data for training new, high-performance models.

Identify and define approaches for statistically heavy use cases

Our experienced data engineering team identifies workflows bottlenecked by high-volume, complex data, such as market prediction or portfolio risk modeling. We define the optimal model architecture (e.g., deep learning for pattern recognition, causal inference models for intervention analysis) and establish a rigorous feature engineering pipeline to ensure data integrity and maximize model predictive power.

Establish asynchronous settings aiming for AI + Human Synergy

We architect systems that facilitate asynchronous human-in-the-loop (HIL) validation. AI models process data and generate confidence scores and recommendations. In modern fintech & banking operations, human only analysts check only the most risky or uncertain cases using a special validation interface, which helps to use human skills more efficiently and reduces mental effort while also helping to make the model better over time.

Enhance AI-ready data to accelerate code translation

Model training relies on clean, accessible data. We engineer data harmonization and transformation layers (ETL/ELT) to create feature stores of high-quality, normalized data. For legacy fintech & banking systems, we leverage generative AI tools to assist in accelerating code translation and data extraction, enabling faster utilization of historical financial data for training new, high-performance models.

Identify and define approaches for statistically heavy use cases

Our experienced data engineering team identifies workflows bottlenecked by high-volume, complex data, such as market prediction or portfolio risk modeling. We define the optimal model architecture (e.g., deep learning for pattern recognition, causal inference models for intervention analysis) and establish a rigorous feature engineering pipeline to ensure data integrity and maximize model predictive power.

Establish asynchronous settings aiming for AI + Human Synergy

We architect systems that facilitate asynchronous human-in-the-loop (HIL) validation. AI models process data and generate confidence scores and recommendations. In modern fintech & banking operations, human only analysts check only the most risky or uncertain cases using a special validation interface, which helps to use human skills more efficiently and reduces mental effort while also helping to make the model better over time.

Enhance AI-ready data to accelerate code translation

Model training relies on clean, accessible data. We engineer data harmonization and transformation layers (ETL/ELT) to create feature stores of high-quality, normalized data. For legacy fintech & banking systems, we leverage generative AI tools to assist in accelerating code translation and data extraction, enabling faster utilization of historical financial data for training new, high-performance models.

Guarantee Digital Trust as Business Imperative for Fintech & Banking Businesses

We integrate security and compliance controls directly into the DevOps process, thereby creating a DevSecOps framework in which security is not an afterthought but rather an integral part of the product lifecycle. This guarantees the highest level of trust and adherence to global financial regulations (e.g., PCI DSS, SOX).

Design with Zero Trust as our core guiding principle

Every application and service is architected based on a Zero Trust Network Architecture (ZTNA). We enforce micro-segmentation across all cloud environments and deploy centralized Identity and Access Management (IAM) tools. Access is granted on a least-privilege basis only after multi-factor authentication (MFA) and runtime policy validation, regardless of the user's location or network segment.

Execute a continuous audit and validate the data at every step

Our pipeline incorporates continuous audit and validation through automated security gates (SAST, DAST, IAST) in every development stage. Data validation checks are integrated into API gateways and data transfer protocols to ensure data origin, integrity, and non-repudiation are maintained across all systems, providing cryptographic proof of transaction status and compliance throughout the data lifecycle.

Transform reporting, compliance and risk assessment into real-time processes

We deploy a Compliance-as-Code (CaC) methodology, utilizing specialized regulatory frameworks to codify compliance requirements (like Basel III or GDPR). This allows reporting and risk assessment dashboards to update in real-time based on pipeline metrics and continuous monitoring data, moving away from annual audits toward a posture of always-on compliance visibility.

Discuss My Needs

Design with Zero Trust as our core guiding principle

Every application and service is architected based on a Zero Trust Network Architecture (ZTNA). We enforce micro-segmentation across all cloud environments and deploy centralized Identity and Access Management (IAM) tools. Access is granted on a least-privilege basis only after multi-factor authentication (MFA) and runtime policy validation, regardless of the user's location or network segment.

Execute a continuous audit and validate the data at every step

Our pipeline incorporates continuous audit and validation through automated security gates (SAST, DAST, IAST) in every development stage. Data validation checks are integrated into API gateways and data transfer protocols to ensure data origin, integrity, and non-repudiation are maintained across all systems, providing cryptographic proof of transaction status and compliance throughout the data lifecycle.

Transform reporting, compliance and risk assessment into real-time processes

We deploy a Compliance-as-Code (CaC) methodology, utilizing specialized regulatory frameworks to codify compliance requirements (like Basel III or GDPR). This allows reporting and risk assessment dashboards to update in real-time based on pipeline metrics and continuous monitoring data, moving away from annual audits toward a posture of always-on compliance visibility.

Design with Zero Trust as our core guiding principle

Every application and service is architected based on a Zero Trust Network Architecture (ZTNA). We enforce micro-segmentation across all cloud environments and deploy centralized Identity and Access Management (IAM) tools. Access is granted on a least-privilege basis only after multi-factor authentication (MFA) and runtime policy validation, regardless of the user's location or network segment.

Execute a continuous audit and validate the data at every step

Our pipeline incorporates continuous audit and validation through automated security gates (SAST, DAST, IAST) in every development stage. Data validation checks are integrated into API gateways and data transfer protocols to ensure data origin, integrity, and non-repudiation are maintained across all systems, providing cryptographic proof of transaction status and compliance throughout the data lifecycle.

Transform reporting, compliance and risk assessment into real-time processes

We deploy a Compliance-as-Code (CaC) methodology, utilizing specialized regulatory frameworks to codify compliance requirements (like Basel III or GDPR). This allows reporting and risk assessment dashboards to update in real-time based on pipeline metrics and continuous monitoring data, moving away from annual audits toward a posture of always-on compliance visibility.

Move Beyond Transactional Features with Holistic Solutions

We deliver robust fintech software solutions tailored to meet the unique needs of financial institutions, investment firms, and fintech companies. Our expertise spans custom software development, integration, and modernization, ensuring secure, scalable, and efficient systems.
From digital banking platforms to investment management tools, our solutions empower financial organizations to streamline operations, enhance customer experiences, and drive innovation.

BFSI Service Platforms

We develop modular, API-first service platforms designed to decouple core functions and facilitate rapid innovation. These include safe web solutions for advanced financial tasks like  currency exchange, and detailed asset management tools, all built to ensure strong security and meet regulations.

High-Performance Processing Systems

Our expertise lies in building fault-tolerant systems capable of handling large-scale, mission-critical processing with guaranteed uptime. This includes using distributed ledger technology (DLT), real-time risk calculation tools, and payment systems that can handle high demand and ensure that transactions are completed correctly across various banking and financial services.

Client-facing Apps

We create intuitive and highly secure web and mobile applications that prioritize the customer journey. Our development process focuses on strong security features (like advanced biometric authentication) and easy-to-use designs, leading to self-service digital banking, payment systems, investment management tools, as well as insurance apps that encourage more people to use digital services.

Financial Data Analytics

Transform raw transactional and market data into actionable intelligence. Our services include creating customized data pipelines and warehousing solutions that feed sophisticated data models. We implement systems for detailed financial forecasting, anomaly detection, and behavioral analysis to enhance operational efficiency and mitigate financial crime risks.

BFSI Service Platforms

We develop modular, API-first service platforms designed to decouple core functions and facilitate rapid innovation. These include safe web solutions for advanced financial tasks like  currency exchange, and detailed asset management tools, all built to ensure strong security and meet regulations.

High-Performance Processing Systems

Our expertise lies in building fault-tolerant systems capable of handling large-scale, mission-critical processing with guaranteed uptime. This includes using distributed ledger technology (DLT), real-time risk calculation tools, and payment systems that can handle high demand and ensure that transactions are completed correctly across various banking and financial services.

Client-facing Apps

We create intuitive and highly secure web and mobile applications that prioritize the customer journey. Our development process focuses on strong security features (like advanced biometric authentication) and easy-to-use designs, leading to self-service digital banking, payment systems, investment management tools, as well as insurance apps that encourage more people to use digital services.

Financial Data Analytics

Transform raw transactional and market data into actionable intelligence. Our services include creating customized data pipelines and warehousing solutions that feed sophisticated data models. We implement systems for detailed financial forecasting, anomaly detection, and behavioral analysis to enhance operational efficiency and mitigate financial crime risks.

BFSI Service Platforms

We develop modular, API-first service platforms designed to decouple core functions and facilitate rapid innovation. These include safe web solutions for advanced financial tasks like  currency exchange, and detailed asset management tools, all built to ensure strong security and meet regulations.

High-Performance Processing Systems

Our expertise lies in building fault-tolerant systems capable of handling large-scale, mission-critical processing with guaranteed uptime. This includes using distributed ledger technology (DLT), real-time risk calculation tools, and payment systems that can handle high demand and ensure that transactions are completed correctly across various banking and financial services.

Client-facing Apps

We create intuitive and highly secure web and mobile applications that prioritize the customer journey. Our development process focuses on strong security features (like advanced biometric authentication) and easy-to-use designs, leading to self-service digital banking, payment systems, investment management tools, as well as insurance apps that encourage more people to use digital services.

Financial Data Analytics

Transform raw transactional and market data into actionable intelligence. Our services include creating customized data pipelines and warehousing solutions that feed sophisticated data models. We implement systems for detailed financial forecasting, anomaly detection, and behavioral analysis to enhance operational efficiency and mitigate financial crime risks.

Accelerate Banking Modernization In 10 Critical Domains

Modern Fintech & banking systems require not just technological upgrades but the precise re-engineering of every user and process flow within key domains.
We deliver targeted, microservices-based solutions to modernize the entire banking user journey, ensuring each domain is API-enabled, cloud-ready, and compliant throughout the full spectrum o fcustomer lifecycle.

Customer onboarding

We implement digital-first, seamless onboarding flows using advanced identity verification technologies and orchestration engines. Our solutions aim to speed up the process by cutting down on manual data entry, quickly checking documents, and including compliance checks right in the first application step using small, separate parts of the interface.

Know Your Customer (KYC)

Our systems utilize AI-driven behavioral analytics and data correlation techniques to automate Know Your Customer (eKYC) checks. We keep an ongoing check on eKYC by connecting with worldwide regulatory databases and using graph databases to find complicated connections that might suggest financial crime, making sure we follow regulations in real-time.

Fraud detection

We deploy low-latency, predictive fraud detection engines that leverage machine learning (ML) models trained on historical transaction patterns. These models score transactions in real-time (sub-50 ms latency), allowing for dynamic rule adjustments, false positive reduction, and seamless integration with payment authorization systems.

Lending

Our expertise covers the entire digital lending lifecycle, from automated application intake to credit decisioning. We develop API-driven credit scoring engines that use alternative data sources and ML models to expedite underwriting, optimize risk exposure, and provide instant loan origination capabilities.

Deposits

We modernize deposit management systems to support flexible, multi-product structures and real-time interest calculation. Our solutions allow customers to start deposits from any channel, easily connect with main accounting systems, and quickly update balances and send notifications based on events.

Products and pricing

We build a centralized product and pricing engine that allows for the rapid configuration and deployment of new financial instruments without requiring core system changes. This uses a component-based model to ensure consistent, dynamic pricing and product bundles across all client-facing channels and internal systems.

General ledger

We modernize the General Ledger (GL) to become an event-driven system capable of real-time posting and reporting. This involves migrating to a scalable, immutable data store architecture, ensuring granular transaction traceability, and automating reconciliation processes to streamline period-end closings.

Mortgages

We streamline the complex mortgage origination and servicing lifecycle with integrated digital workflows. This includes automated document verification, API integration with valuation and title services, and a modular platform that manages regulatory adherence (e.g., TRID compliance) throughout the loan's term.

Customer onboarding

We implement digital-first, seamless onboarding flows using advanced identity verification technologies and orchestration engines. Our solutions aim to speed up the process by cutting down on manual data entry, quickly checking documents, and including compliance checks right in the first application step using small, separate parts of the interface.

Know Your Customer (KYC)

Our systems utilize AI-driven behavioral analytics and data correlation techniques to automate Know Your Customer (eKYC) checks. We keep an ongoing check on eKYC by connecting with worldwide regulatory databases and using graph databases to find complicated connections that might suggest financial crime, making sure we follow regulations in real-time.

Fraud detection

We deploy low-latency, predictive fraud detection engines that leverage machine learning (ML) models trained on historical transaction patterns. These models score transactions in real-time (sub-50 ms latency), allowing for dynamic rule adjustments, false positive reduction, and seamless integration with payment authorization systems.

Lending

Our expertise covers the entire digital lending lifecycle, from automated application intake to credit decisioning. We develop API-driven credit scoring engines that use alternative data sources and ML models to expedite underwriting, optimize risk exposure, and provide instant loan origination capabilities.

Deposits

We modernize deposit management systems to support flexible, multi-product structures and real-time interest calculation. Our solutions allow customers to start deposits from any channel, easily connect with main accounting systems, and quickly update balances and send notifications based on events.

Products and pricing

We build a centralized product and pricing engine that allows for the rapid configuration and deployment of new financial instruments without requiring core system changes. This uses a component-based model to ensure consistent, dynamic pricing and product bundles across all client-facing channels and internal systems.

General ledger

We modernize the General Ledger (GL) to become an event-driven system capable of real-time posting and reporting. This involves migrating to a scalable, immutable data store architecture, ensuring granular transaction traceability, and automating reconciliation processes to streamline period-end closings.

Mortgages

We streamline the complex mortgage origination and servicing lifecycle with integrated digital workflows. This includes automated document verification, API integration with valuation and title services, and a modular platform that manages regulatory adherence (e.g., TRID compliance) throughout the loan's term.

Customer onboarding

We implement digital-first, seamless onboarding flows using advanced identity verification technologies and orchestration engines. Our solutions aim to speed up the process by cutting down on manual data entry, quickly checking documents, and including compliance checks right in the first application step using small, separate parts of the interface.

Know Your Customer (KYC)

Our systems utilize AI-driven behavioral analytics and data correlation techniques to automate Know Your Customer (eKYC) checks. We keep an ongoing check on eKYC by connecting with worldwide regulatory databases and using graph databases to find complicated connections that might suggest financial crime, making sure we follow regulations in real-time.

Fraud detection

We deploy low-latency, predictive fraud detection engines that leverage machine learning (ML) models trained on historical transaction patterns. These models score transactions in real-time (sub-50 ms latency), allowing for dynamic rule adjustments, false positive reduction, and seamless integration with payment authorization systems.

Lending

Our expertise covers the entire digital lending lifecycle, from automated application intake to credit decisioning. We develop API-driven credit scoring engines that use alternative data sources and ML models to expedite underwriting, optimize risk exposure, and provide instant loan origination capabilities.

Deposits

We modernize deposit management systems to support flexible, multi-product structures and real-time interest calculation. Our solutions allow customers to start deposits from any channel, easily connect with main accounting systems, and quickly update balances and send notifications based on events.

Products and pricing

We build a centralized product and pricing engine that allows for the rapid configuration and deployment of new financial instruments without requiring core system changes. This uses a component-based model to ensure consistent, dynamic pricing and product bundles across all client-facing channels and internal systems.

General ledger

We modernize the General Ledger (GL) to become an event-driven system capable of real-time posting and reporting. This involves migrating to a scalable, immutable data store architecture, ensuring granular transaction traceability, and automating reconciliation processes to streamline period-end closings.

Mortgages

We streamline the complex mortgage origination and servicing lifecycle with integrated digital workflows. This includes automated document verification, API integration with valuation and title services, and a modular platform that manages regulatory adherence (e.g., TRID compliance) throughout the loan's term.

FAQ Method & Process

What are the benefits of adopting modern Finance & Banking solution with us?

The cost of developing a Fintech & Banking solution depends on factors such as project complexity, data requirements, and the scope of the solution. We provide customized quotes based on your specific needs and budget constraints.

We create tailored financial solutions that focus on meeting important legal requirements for operations (like SEC, NAIC, SOX, AML/CFT) and data privacy (such as PCI DSS, GDPR, NYDFS, and CCPA).

To protect your data, we implement the following measures:
  • Encryption protocols and secure access controls.
  • Regular security assessments and compliance with regulations like GDPR, HIPAA, and NDAs and strict confidentiality measures with clients and staff.
  • Secure environments with firewalls, intrusion detection systems, and regular backups.
  • Employee training on best practices for data protection.
  • These comprehensive measures ensure your data’s security and confidentiality throughout the project lifecycle.

Our teams ensure the quality and accuracy of our AI-driven financial solutions through rigorous testing, validation, and continuous monitoring. Additionally, we leverage advanced techniques to train our models and regularly update them with new data to maintain high performance and reliability.

The cost of developing a Fintech & Banking solution depends on factors such as project complexity, data requirements, and the scope of the solution. We provide customized quotes based on your specific needs and budget constraints.

We create tailored financial solutions that focus on meeting important legal requirements for operations (like SEC, NAIC, SOX, AML/CFT) and data privacy (such as PCI DSS, GDPR, NYDFS, and CCPA).

To protect your data, we implement the following measures:
  • Encryption protocols and secure access controls.
  • Regular security assessments and compliance with regulations like GDPR, HIPAA, and NDAs and strict confidentiality measures with clients and staff.
  • Secure environments with firewalls, intrusion detection systems, and regular backups.
  • Employee training on best practices for data protection.
  • These comprehensive measures ensure your data’s security and confidentiality throughout the project lifecycle.

Our teams ensure the quality and accuracy of our AI-driven financial solutions through rigorous testing, validation, and continuous monitoring. Additionally, we leverage advanced techniques to train our models and regularly update them with new data to maintain high performance and reliability.

The cost of developing a Fintech & Banking solution depends on factors such as project complexity, data requirements, and the scope of the solution. We provide customized quotes based on your specific needs and budget constraints.

We create tailored financial solutions that focus on meeting important legal requirements for operations (like SEC, NAIC, SOX, AML/CFT) and data privacy (such as PCI DSS, GDPR, NYDFS, and CCPA).

To protect your data, we implement the following measures:
  • Encryption protocols and secure access controls.
  • Regular security assessments and compliance with regulations like GDPR, HIPAA, and NDAs and strict confidentiality measures with clients and staff.
  • Secure environments with firewalls, intrusion detection systems, and regular backups.
  • Employee training on best practices for data protection.
  • These comprehensive measures ensure your data’s security and confidentiality throughout the project lifecycle.

Our teams ensure the quality and accuracy of our AI-driven financial solutions through rigorous testing, validation, and continuous monitoring. Additionally, we leverage advanced techniques to train our models and regularly update them with new data to maintain high performance and reliability.