From core banking modernisation and open finance APIs to AI-powered fraud detection and cloud security posture — we help BFSI institutions move fast without moving recklessly.
Most banks are running core systems that are 20–30 years old, surrounded by compliance obligations that make modernisation politically fraught. Moving too fast risks regulatory exposure; moving too slow means digital challengers eat your margins.
Fraud detection has moved from rule-based batch processing to millisecond ML inference. The window to catch a fraudulent transaction before it clears is shrinking — and the cost of false positives (blocked legitimate customers) is also very real.
Regulatory mandates for open banking (AA framework, PSD2 equivalents) require institutions to expose data and services via APIs — safely, reliably, and at scale — while simultaneously protecting customer data sovereignty.
We decompose monolithic core banking systems into modular, API-first microservices — using strangler-fig patterns to migrate safely without big-bang cutovers or regulatory risk.
Real-time transaction scoring platforms using ML models trained on behavioural signals, velocity patterns, and network graphs — deployed on low-latency inference infrastructure.
Cloud security posture management, audit-ready infrastructure, and automated compliance controls aligned to RBI, SEBI, IRDAI, and ISO 27001 frameworks.
Account Aggregator-ready API platforms, open banking gateways, and consent management systems — built to regulatory spec, secured end-to-end, and capable of handling millions of API calls per day.
The next wave of banking isn't mobile-first — it's AI-native. From hyper-personalised product recommendations to AI-driven credit underwriting and conversational banking, institutions that embed AI into core processes will see step-change improvements in conversion, risk, and cost-to-serve.
Banking-as-a-Service is enabling non-banks to offer financial products — insurance, credit, payments — inside their own experiences. The institutions that build clean, reliable API infrastructure now will power the next decade of embedded finance revenue.
Post-quantum cryptography is no longer a theoretical concern. BFSI regulators are beginning to mandate quantum-readiness assessments, and institutions with long-lived customer data (mortgages, pensions) need to plan for cryptographic migration before quantum breaks current standards.
A top-10 Indian private bank was running batch-end-of-day reconciliation and rule-based fraud scoring built a decade ago. We designed and delivered a real-time event streaming architecture on Kafka, replaced the batch fraud pipeline with a sub-50ms ML scoring service, and built an API gateway capable of 50,000 transactions per second — all without a single missed SLA during migration.
We start with a structured review of your current architecture against regulatory requirements — identifying compliance gaps, modernisation risk, and quick-win opportunities before writing a line of code.
We design a migration and modernisation roadmap with regulatory checkpoints built in — not bolted on. Each phase has clear go/no-go criteria tied to compliance, performance, and stability.
We deliver in phases — each one audit-ready before we proceed. Security reviews, penetration tests, and compliance attestations are part of our delivery rhythm, not an afterthought.
Talk to engineers who understand that in financial services, architecture decisions have compliance consequences. We start with an audit, not a pitch.