Data & AI systems that survive a regulator's questions.
For fintechs, NBFCs, wealth-techs, and insurers in India and the GCC.
What we see in BFSI organizations:
Reconciliation breaks
Multiple systems, inconsistent account numbers, month-end fire drills that pull engineering off roadmap.
Regulatory reporting fire-drills
RBI/DFSA/CBUAE reports due Friday. Your data isn't clean. Engineers scramble with SQL.
DPDP & consent data plumbing
Consent withdrawal requests hit your warehouse. You have no lineage. Legal gets nervous.
Lending-ops data quality
Loan origination data is incomplete. Collections data doesn't match. Risk reporting is a guess.
AI pilots stuck in POC
You built a RAG or credit-scoring model. It works in notebooks. Data governance is missing. Regulators ask: how did you validate this?
Reference Architecture
Your data foundation. Governed and auditable.
From core banking systems through quality gates into a governed lakehouse with DPDP consent lineage and data contracts. Every output is auditable: regulatory reports, reconciliation agents, compliance copilots.
What we build:
Reconciliation agents
Automated agents that match transactions across core banking, payments, and ledger systems. Flags mismatches in real-time. Audit-ready.
Regulatory-reporting pipelines
End-to-end data flows for RBI, DFSA, CBUAE reports. Built-in validation. One-click compliance exports.
Customer-360 with consent lineage
Single source of truth for customer data. Every field traced back to consent. DPDP-compliant withdrawal handling.
RAG copilots over policy/product docs
AI agents trained on your product terms, regulatory docs, and policies. Evaluated against compliance benchmarks. Safe to deploy.
We speak regulatory.
DPDP Act
Data Processing, consent tracking, withdrawal rights. We build lineage.
RBI Outsourcing & Data-Localisation Norms
Third-party processing rules, data residency, audit trails. Built in.
CBUAE / DFSA (GCC)
Central Bank of UAE and Dubai Financial Services Authority. AI governance frameworks.