Secure Digital Banking App with Real-Time Analytics
A mobile-first banking experience processing $2M+ daily transactions with biometric security and real-time fraud detection.
Overview
A digital-first financial services company needed to launch a modern banking app that could compete with neobanks while meeting the strict regulatory requirements of traditional banking. We delivered a secure, high-performance mobile application with AI-powered fraud detection that processed over $2M in daily transactions within six months of launch.
Client Background
Our client is a licensed digital banking startup backed by Series A funding, targeting millennials and Gen-Z users in the US market. They had a basic MVP built by an offshore team but it was plagued by security vulnerabilities, poor performance, and failed their initial regulatory audit.
The Challenge
- 1The existing MVP had critical security vulnerabilities including unencrypted API calls and weak authentication, putting customer financial data at risk.
- 2Transaction processing was unreliable — approximately 3% of transactions failed during peak hours, eroding user trust.
- 3The app had no fraud detection capabilities, and the team was manually reviewing suspicious transactions — an approach that couldn't scale.
- 4Regulatory compliance (PCI DSS, SOC 2) was incomplete, blocking the company from expanding to new markets.
- 5The user experience was clunky and slow, with 6-second average load times leading to a 45% drop-off rate during onboarding.
Our Approach
Security Rebuild (Weeks 1-3)
We conducted a comprehensive security audit, identified 23 critical vulnerabilities, and rebuilt the authentication layer from scratch. We implemented biometric login (Face ID / fingerprint), end-to-end encryption for all API calls, and hardware-backed key storage for sensitive tokens.
Core Banking Engine (Weeks 2-6)
We re-architected the transaction processing pipeline using event-driven architecture with Node.js and TypeScript. Each transaction flows through a validation pipeline, fraud scoring engine, and settlement queue — ensuring reliability even under heavy load. We achieved 99.99% uptime with zero failed transactions.
AI Fraud Detection (Weeks 4-8)
We built a real-time fraud detection system using ensemble machine learning models trained on transaction patterns. The system analyzes velocity, geolocation, device fingerprints, and behavioral biometrics to score every transaction in under 50ms. Suspicious transactions are flagged for review or automatically blocked.
UX Overhaul & Launch (Weeks 7-10)
We redesigned the entire user experience using React Native, achieving sub-second load times and a streamlined onboarding flow that reduced drop-off by 60%. We implemented real-time push notifications, spending insights, and an AI-powered financial wellness feature.
Results & Impact
“We came to Inventiple with a broken app and a deadline. They not only rebuilt it from the ground up in 10 weeks but delivered something that outperforms apps from banks 100x our size. The fraud detection system alone has paid for the engagement many times over.”