Architecture of Impact.
We don't just write code. We engineer financial ecosystems. Here is how we've solved the most complex problems for the institutions of Bharat.
Replaced hardware soundboxes with a smarter mobile-first solution
The Challenge
The bank wanted to deploy branded soundboxes for its merchant network across India. What looked simple quickly became a complex exercise: logistics of deploying physical devices at scale, merchants constantly leaning on RMs for support, and maintenance costs that kept climbing. The hardware-first approach was becoming a drag on both budget and bandwidth.
The Impact
The bank eliminated its soundbox deployment headaches while actually upgrading the merchant experience. Retention improved because merchants got more than a beep; they got a full-service tool in their pocket.
What We Built
We proposed a shift from hardware to software: a mobile application with real-time voice notifications on every payment received. Same outcome for the merchant, zero logistics for the bank.
But we didn't stop at just replacing the soundbox. The app also delivered:
→One-click UPI transaction statements
→Easy application for transaction-based lending
→Seamless issue escalation, no more chasing RMs
Enabled a cooperative bank to launch branded UPI soundboxes through a seamless multi-entity ecosystem
The Challenge
The bank wanted to issue branded soundboxes to its merchants but lacked a UPI acquiring switch, the essential plumbing needed to make merchant UPI transactions possible under its own brand.
The Impact
The bank launched branded soundboxes for its merchants, deepening engagement and driving up both volume and value of UPI transactions, bringing real financial inclusion to underserved markets.
What We Built
We orchestrated a sponsor bank partnership to secure an acquiring UPI switch and developed a comprehensive reconciliation, settlement, and reporting module. This stitched together the sponsor bank, acquiring switch, and the cooperative bank's CBS into one seamless ecosystem.
Accelerated a TPAP's go-to-market with a ready-to-deploy, white-labelled UPI payments stack
The Challenge
The company had NPCI's in-principle approval to launch as a Third Party Application Provider (TPAP) aimed at bringing UPI to tier-3 and tier-4 towns. What they needed was the payments infrastructure to move from approval to go-live, fast.
The Impact
The fintech significantly compressed its go-to-market timeline, moving from in-principle approval toward launch-readiness with a payments stack purpose-built for Bharat's next billion users.
What We Built
We deployed our ready-to-use, white-labelled payments stack built on PPI-UPI architecture. Multi-lingual, easily navigable, and designed for users in semi-urban India, it fit their financial inclusion mission like a glove. The pre-built stack meant they could fast-track their final NPCI submission without building from scratch.
Optimized AML transaction monitoring to cut false positives without compromising risk coverage
The Challenge
The bank's rule-based AML engine was struggling with false positives, clogging up transaction monitoring, stretching turnaround times for MLROs, and burning compliance bandwidth without proportional risk coverage.
The Impact
The bank achieved leaner, faster AML operations: fewer false alerts, quicker adjudication, same robust risk posture. Compliance became sharper, not just busier.
What We Built
We aggregated and standardized the bank's data, then built simulators that mirrored their existing AML rule sets. This allowed us to stress-test, recommend, and deploy optimizations to the rule-based engine, surgically reducing false positives and improving MLRO adjudication TAT, all without loosening the bank's risk coverage by even a thread.
When 95% of AML Alerts Are Noise, Real Crime Wins
The Challenge
India's UPI network now clears over 640 million transactions daily — and legacy rule-based AML engines were never built for this. Tier-1 banks are drowning in false positives, with some institutions flagging suspicious rates above 95%. The deeper crisis is structural: compliance analysts spend up to 85% of their time manually reconciling data across fragmented systems, leaving almost no bandwidth to investigate actual financial crime. The alert has become the bottleneck.
The Impact
When AML operations are modernised, the numbers speak for themselves: false positives drop by half, reconciliation effort falls by 65%, and alert turnaround improves by 50%. Analysts shift from data gathering to genuine investigation. And critically — SAR ratio integrity holds. Efficiency and compliance quality are not a trade-off. They move together.