We developed a secure, scalable core banking system for a fast-growing FinTech startup in Delhi, enabling seamless loan origination, insurance management, mutual fund investments, and stock trading through a unified platform. The solution reduced loan approval times from 7 days to 2 hours, improved fraud detection by 90%, and ensured RBI compliance. With real-time transaction processing, AI-driven risk assessment, and multi-level encryption, the platform enhanced customer trust while reducing operational costs by 30%. The mobile-first approach allowed users to manage finances on-the-go, driving a 40% increase in customer acquisition within six months.
Client Industry
FinTech (Digital Banking & Wealth Management)
Client Location
Delhi, India
Project Duration
10 months
Team Size
20 (Blockchain devs, Backend engineers, Cybersecurity specialists, UX designers)
Technology Used
- Backend: Java Spring Boot, Node.js
- Database: PostgreSQL, MongoDB (for unstructured data)
- Security: AES-256 encryption, RBI-compliant tokenization
- AI/ML: Python, TensorFlow (Fraud detection, credit scoring)
- Mobile: Flutter (Cross-platform apps)
- Cloud: AWS (HIPAA/GDPR-compliant hosting)
- APIs: UPI, NACH, BBPS integrations
Client Background
The client was a seed-stage FinTech startup aiming to disrupt India’s digital banking space with an all-in-one financial management app. Their manual loan processing and disjointed investment modules caused high operational costs (₹18L/month) and fraud losses (₹5L/month). They needed a RBI-compliant, cloud-native core banking system to automate workflows, reduce fraud, and scale to 500K+ users. Challenges included slow KYC verification (48+ hours), lack of real-time analytics, and security vulnerabilities in their MVP.
Project Scope
- Automated Loan Origination
AI-powered credit scoring reduced approval times from 7 days to 2 hours while cutting defaults by 25%. - Unified Investment Dashboard
Single-view management for mutual funds, stocks, and insurance policies with real-time NAV updates. - RBI-Compliant Security
Biometric KYC, AES-256 encryption, and behavioral fraud detection minimized identity theft. - Instant UPI Payments
Integrated with UPI 2.0 for seamless peer-to-peer and merchant transactions. - Automated Reconciliation
Reduced accounting errors by 90% with AI-matching of bank statements.
Our Approach
- Regulatory-First Design
Ensured RBI, SEBI, and IRDAI compliance from Day 1. - AI Fraud Prevention
Deployed ML models to detect suspicious transactions in real-time. - Microservices Architecture
Enabled independent scaling of loans, investments, and insurance modules. - Pilot with NBFC Partners
Tested with 3 lending partners before public launch.
Features Introduced
- One-Click Loan Disbursal
Pre-approved offers with e-signature support. - AI-Powered Robo-Advisor
Suggested optimal mutual fund portfolios based on risk appetite. - Real-Time Stock Trading
Integrated with BSE/NSE APIs for zero-delay execution. - Automated Insurance Claims
Smart contracts triggered payouts for pre-approved health claims. - Voice Banking
Hindi/English voice commands for rural users.
Addressing Challenges
- High Fraud Risk → AI reduced fake accounts by 90%.
- Slow KYC → Biometric Aadhaar verification in <5 mins.
- Manual Reconciliation → Automated matching saved 200+ hours/month.
- Scalability Issues → Cloud-native design handled 10K+ TPS.
Business Impact
- 50% Faster Loan Processing (2 hrs vs. 7 days).
- 40% Lower Customer Acquisition Cost (CAC).
- 30% Reduction in Operational Costs.
- 90% Fraud Detection Rate (Saved ₹25L+/month).
- 5K+ Users onboarded in first year.
