From cloud-native infrastructure and DevSecOps to agentic AI that automates banking operations — 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.
Banks and NBFCs process thousands of customer emails, trade confirmations, KYC documents, and compliance queries by hand every day. Skilled operations staff spend hours on classification, routing, and data extraction — work that is repetitive, error-prone, and ready for AI.
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.
AI agents that classify customer emails, process KYC documents, reconcile voice orders, and answer compliance queries — deployed on-premise inside the bank's own network, with zero data leaving the institution.
We migrate on-premise BFSI infrastructure to cloud-native platforms — zero unplanned downtime, event-driven architectures replacing batch bottlenecks, and round-the-clock managed ops so the business never sleeps.
Security shifted left into the CI/CD pipeline — every deployment scanned, every release audit-ready. Compliance controls for RBI, SEBI, IRDAI, and ISO 27001 built into the delivery rhythm, not bolted on at the end.
A 24/7 managed ops model built for regulated financial institutions — AIOps-powered monitoring, proactive incident response, cost-optimised infrastructure, and compliance visibility across every cloud environment.
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.
Regulated BFSI institutions cannot send customer data to third-party LLM APIs. The ability to deploy production-grade AI models inside the bank's own infrastructure — with full data sovereignty and audit trails — is becoming a core engineering differentiator rather than a luxury.
Thousands of customer emails arriving daily across 20+ product lines — triaged entirely by hand. We deployed an on-premise AI agent that classifies intent and drafts compliant responses, with zero data leaving the bank's network.
A leading bank was running every document through large LLMs — expensive and slow. We built an intelligent pipeline that classifies first and routes each document to the most cost-appropriate model.
A major NBFC moved from ageing on-premise infrastructure to a cloud-native delivery platform — without a single hour of unplanned downtime. Full Kubernetes adoption, CI/CD pipeline, and observability stack in one engagement.
A leading asset management firm was shipping fast but security was a post-deployment afterthought. We turned compliance into a competitive advantage — every deployment scanned, every release audit-ready from day one.
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.