About

Why I'm building Cognance.

Regulated institutions have automated extraction — but not decisions.

The background

I've spent over a decade modernizing financial infrastructure — most recently leading the migration of a multi-trillion-dollar asset platform from a legacy monolith to event-driven AWS microservices, and before that building compliance AI that cut enterprise audit cycles by 80%.

The pattern

One thing kept repeating: regulated institutions have automated extraction, but not decisions. The moment a case is ambiguous, it still lands on a human's desk — slow approvals, expensive review teams, all for judgment calls a well-governed AI can make in under a second.

The build

Cognance is the product of that decade. I built the KYC agent the way regulated systems should be built: deterministic where it can be, AI-reasoned where it must be, and auditable everywhere. It's live on AWS today.

The goal

KYC is the first agent — the destination is a governed decision layer that financial institutions can trust for the back-office judgment calls that still bottleneck them.

SO

Syed Obaidullah Hussaini

Founder, Cognance

10+ years

In FinTech modernization and compliance AI

Multi-trillion $

AUM platform migration to event-driven AWS

Shipped compliance AI

98% precision, zero audit findings across 8 cycles

Hyderabad

Where Cognance is based

The thesis

The name-matching itself is a commodity. The durable advantage is the governance layer around the decision: tenant isolation, an immutable audit trail, confidence-based routing, human fallback, and a golden dataset that compounds with every review. That is what lets a regulated institution actually trust an autonomous decision — and it is what legacy extract-and-eject vendors never build.

Advisory

Cognance is founder-led, with advisory relationships in progress across product, engineering, and regulated-finance operations.