Enabling Fintech with AI

Data scientists, machine learning, deep learning & AI for digital banks, investments, payments, lending, insurance and wealth

Fintech Performance with Artificial Intelligence

Algorithmic Trading with Artificial Intelligence

Revolutionize trading strategies with our AI-driven Algo Trading solution, leveraging advanced algorithms to make precise decisions based on market patterns and real-time indicators. Supercharge your trading, harness price-action data, analyse patterns with high speed for best alpha-generating outcomes.

Investment Funds Analytics​​

Generate higher returns, and better monitor the risk through advanced analytics driven by AI models. Maintain transparency with investors, regulators, risk committees. Seamless data integration with your underlying portfolio investments across all asset classes. European investment funds can also meet PRIPS, AIFMD, KIID & UCITS requirements.​​

Big Data Credit Scoring​

Reduce non performing loans and increase profitability across all lending products - retail loans, credit cards, personal loans, unsecured loans, MSME credit. Build, train and backtest high performance machine learning models with lending data and alternate data sources. Acquire more customers that will otherwise remain underbanked.

Debt Collection with Machine Learning​

Get higher recovery on delinquent loan accounts, predict pre-delinquent accounts before time and have a proactive collection & debt servicing strategy. Use machine learning models to reduce collection costs, improve collection rates, and prioritise loan collection process through better borrower segmentation.​

Supply Chain Financing

Reduce risk in supply chain financing through invoice scoring & SME / MSME scoring. Collect more and ensure timely payments on overdues. Intelligent payment allocations across the value chain to maximise working capital returns for the customers. Make the value chain transaction processing experience faster and easier for your customers.

Identity Fraud Prevention

Reduce identity fraud, and extend financial services to the underbanked communities. Authenticate and validate customers through AI based selfie facial recognition, biometrics, QR codes & photo ID. Reduce the customer onboarding costs and empower your digital financial services ecosystem with instant customer acquisition tools & eKYC.

Payables & Receivables Management for CFOs

Generate more profit by getting cash payment discounts from your suppliers against Payables. Get more cash from funders for financing the invoices or purchase orders. Reduce the risk in making early payments to your suppliers. Increase your days payables outstanding with the suppliers and generate higher returns on working capital deployed.

Omnichannel Customer Experience with AI​

Personalized AI-based banking solutions, to transform the customer experience (CX) across retail & SME banking. Provide omnichannel banking experience through AI models trained by huge amounts of customer data, trillions of transactions and events, hidden patterns and relationships.​

Predictive analytics & AI platform for Fintechs with shorter time-to-market and reduced cost of ownership

We help our financial partners create value and build successful inclusive finance strategies through a scalable AI infrastructure. Through a combination of best-of-breed analytics products, professional services and fintech experts for developing solutions that align with your growth strategies, we provide highly skilled data scientists, machine learning and big data analytics consultants.

Our Clients have trusted Convexium for more than 15 years (since 2007) for bringing their innovative ideas into disruptive reality. Convexium is a division of Netsity, which is a full stack software development company, with hundreds of successful case studies across the globe, a hands-on leadership team, and highly committed project teams.

Let’s talk about how Convexium could help you fast track your goals and generate higher growth in the fast emerging fintech ecosystem. Provide your information here to book an appointment with our experts.

Fintech Innovation with AI, Blockchain & Open API

Machine Learning and Artificial Intelligence technology for financial institutions can help you innovate and stay ahead of your competition by growing the business across all business lines, reduce risk, prevent fraud, and have higher profitability. With machine learning trained models you can have better targeting of your customers; utilize capital more efficiently and generate higher investor returns; get higher leverage and stay compliant with the regulations; get access to low cost investments by demonstrating lower risk across all asset valuations; penetrate into untapped markets with big data opportunities; increase the lifetime value of your customer; and provide better support at a reduced cost.

Machine learning developers at Convexium can help you accelerate your model development, model training, testing, and evaluation. Backed by experienced data scientists and wealth of experience in Logistic Regression, Random Forest, Bayesian Networks, Support Vector Machine, Neural Network, Lasso Regression, R, Python, we can seamlessly integrate and deploy the models within your Fintech business processes.

Contact us now to discuss your problem statement and what machine learning models can help you in making faster decisions.

API integration and microservices management through open API frameworks from Convexium can help you create Fintech products and models at lightning speeds. Define the building blocks of innovative products to drive increased customer satisfaction and enhanced business value. Create a wider range of personalised services through Account Aggregation; make payments and money transfers simple and safe; ensure a more complete and accurate capture of customer’s financial data, populate your machine learning models with transactional and historical data; access counterparties, payers, payees, loan accounts including their metadata; fetch data about Branches, ATMs including geolocation and opening hours; perform customer onboarding and manage KYC data.

With Convexium as your trusted partner for API management and microservice mesh governance, you can be assured of full API life cycle management with inbuilt security and analytics for both internal and external API projects. Integration for data, and processes with tooling support and connectors can help you scale for integration scenarios of any size for on-premise or in the cloud. Using event driven architecture, visual orchestration, reusable components you can extend APIs with microservices, publish data from any existing API and specify XML/JSON, JSON/JSON, XML/XML data format transformations. Convexium leverages cutting-edge technology such as microservices, dockers, kubernetes for unparalleled elasticity and scalability. Automatically extend back-end entity objects into web or mobile applications, REST APIs or SOA web services.

Contact us now to discuss Open banking opportunities through API frameworks.

Blockchain technology can help financial institutions grow their book size by developing partnerships with loan originators, digital ecosystems and ecommerce players; they can manage underwriting workflows and credit scoring by writing smart contracts with other participants; manage identities of the customers and follow KYC processes with reduced costs on a blockchain network; launch successful peer to peer finance or P2P fintech marketplace by bringing down the cost of borrowing and fetch higher returns for the lenders; collaborate more effectively for B2B financing; and provide transparency, trust, speed of execution at a fraction of cost for all lines of business including lending, payments, remittances, wallets, mobile banking.

Blockchain experts at Convexium can help you bring your distributed and decentralised Apps – dApps to the markets faster. With specialised skills in Hyperledger, R3 Corda, Ethereum, Ripple, Solidity, Tendermint, we provide open source solutions, develop proprietary frameworks, ensure higher throughput and low latency infrastructure for enterprise grade blockchain applications.

Contact us now to discuss your Blockchain idea.

Advanced analytics and risk models with an expert team of data scientists / modelers can drive higher profitability at a reduced risk for your Fintech products. We help you in formulation of AI-based approach to AML / CFT / PEP; proprietary analytics for fraud prevention, mitigation in the possibility of false negatives and reduction in false positives; better marketing decisions with customer insights; better cash flow planning and treasury functions with reliable forecasts, managing increasing regulatory demands (CECL, IFRS 17, IFRS 9, BASEL III / IV).

With our Risk Analytics experts you can monitor concentration risk, credit risk, counterparty risk, capital adequacy, loan portfolio segmentation analysis, identify profitable customer sections, efficient delinquency management and comprehensive loan servicing, take a risk-based approach through hybrid analytics for managing alerts, test scenarios, stress testing, what-if scenarios, P&L simulation, apply multiple forward projections, and respond faster to evolving risks and regulations.

We start by creating consolidated data hubs (data collection and aggregation to data validation and cleansing), data quality & integration, financial modeling, followed by reporting infrastructure to improve transparency and auditability with flexible workflow automation and embedded controls. As your needs change you can introduce new models, methodologies, scenarios and build, back-test and deploy models much faster, and get a complete, integrated view of your data. We work with public or private clouds and offer multiple ways for deployment – Docker, Kubernetes, Cloud Foundry, Amazon, Microsoft, Google, Oracle, and we support REST APIs, Python, R, Java, iOS, Android SDKs, Hadoop, Hive, and hundreds of data sources.

Contact us now to discuss your Risk Analytics & Model development requirements.

About Us

Convexium is one of the top Fintech Analytics and AI Model development company with experience of more than 15 years in providing financial technology solutions. Our full stack fintech software development services comprise of building analytics frameworks, machine learning models, open banking APIs and middleware, front-end, distributed apps through blockchain technology, banking business intelligence, financial reporting, and integration with your existing systems. Our development ops are driven by best practices and time-tested methodologies.

Quality assurance and building secure analytics applications does not happen by chance at Convexium. It’s a result of passionate development teams, backed by experienced technical architects and seasoned project managers. With hundreds of satisfied clients globally, and an impeccable track record, we ensure we deliver your projects on-time and on-budget.

Convexium is a wholly owned division of Netsity Systems (P) Ltd. We have successfully taken up the challenge of providing our clients with analytics solutions and data science expertise to service your globe-spanning financial services business.

We are headquartered in India, with a dedicated 10,000 sq.ft. of center-of-excellence, and global representative offices in UK, USA, Europe, and Southeast Asia. Our team of experienced business analysts, risk management experts, quants blend our technology solutions with their Fintech domain understanding to offer you flexible and configurable solutions that empower your sales, marketing, underwriting, risk, investment, operations, compliance and customer support departments.

Our commitment to Quality Assurance is inherent in our business practices and project execution processes. Netsity has a Quality Management System that was audited and certified as per ISO9001:2008 norms.

Leadership

CEO & Head of Technology

Avnish Gupta

Avnish is an experienced technical architect, building scalable and secure data infrastructure, enabling growth and higher profitability for the Fintechs. He co-founded Convexium (Financial Analytics division of Netsity) in 2007 and has helped many financial institutions develop technology frameworks, design and architect technology solutions, manage full stack development teams. His razor sharp focus is on aligning project outcomes with client’s business goals, their funding targets, top line growth and strategic initiatives. Avnish is a Fintech expert and has successfully executed projects by bringing in his extensive knowledge with machine learning, data science, blockchain technology, and fintech software frameworks. He holds Engineering Degree in Computer Science from Pune University (B.E. batch of 1993).

Head of Business Development

Rajnish Gupta, CFA

Rajnish has extensive experience of hedge funds industry, lending business, SME credit, supply chain management with bulk buyers of agriculture commodities, inclusive finance and value chain financing with farmer groups and collectors. He co-founded Convexium in 2007 (Financial Analytics division of Netsity) and has also helped hedge funds scale up their operations, streamline middle office functions, have robust risk management frameworks, and meet regulatory compliance requirements as per various fund regimes in Europe. Rajnish holds Chartered Financial Analyst, CFA (ICFAI, 1997) and MBA in Finance (1996), alongwith Bachelor of Science degree majoring in Computers Science (1994).

Head of R&D

Geeta Gupta

Geeta heads the Fintech Analytics division, where she identifies the machine learning models, development frameworks, big data infrastructure components and maps them to the real world business problems. With a solid understanding of various technologies, she works closely with the financial institutions, product companies, developer communities, and experts. She co-founded Convexium in 2007 (Financial Analytics division of Netsity) and has extensive experience in defining use-cases, helping with building solution architecture, and walk through the journey of finding product-market fit. She is very much hands-on with full stack AI model development and works closely with technical team at Convexium. Geeta holds M.Tech. in Data Science (2022), Masters of Computer Applications (MCA, 1997) and BSc Computers degree (1994).

Head of Devops

Rajnish Paul

Paul has extensive experience in project management handling major accounts in the financial services sector, telecom, healthcare, high growth startups and product companies in US and UK. He manages Devops at Convexium across the full Financial analytics development lifecycle, Code, Build, Test, Package, Release, Configure, and Monitor. His responsibility is to ensure development and operations teams are not siloed, teams use tools & practices to automate development processes. In all the projects at Convexium, Paul takes the ownership, gets development teams to move with speed, increase the pace of releases, reliability and improved collaboration. He holds Engineering Degree in Computer Science from Pune University. (B.E. batch of 1993).

Head of Compliance

Neeraj Agrawaal, CA

Neeraj is responsible for developing and executing a comprehensive Compliance and Regulatory strategy at Convexium. He also works in close coordination with our clients and advises them on legal structures, compliance framework, regulatory reporting, and risk management. Neeraj is a seasoned Chartered Accountant and he has experience of more than 20 years in advising clients on cross-border taxation issues, structured finance, corporate restructuring, asset financing, equity and debt offerings. He is a subject matter expert on Anti-Money Laundering (AML) and Know Your Customer (KYC) matters.

Adviser

Rahul Sinha

Rahul has over 24 years of experience in the banking and financial services industry in India, of which the last 6 years and counting is in Indonesia. Having worked in the areas of risk management and credit assessment, collections of financial receivables, customer engagement and predictive behavior analytics, product development and marketing, and managing a financial service company as its MD, Rahul has developed a 360 degree view of an organization, including digitalization of the retail financial customer and product lifecycle. He is passionate about organization building, revenue enhancement projects and cost rationalization through effective risk analytics and financial modeling, saves on operating expenses.

Rahul Sinha