About
Why we're building Cognance.
The name
In Indian legal usage, a court takes cognizance when it formally notices a matter and acts on it. Cognance does the same for ambiguous cases: it notices what doesn't match, reasons through it in the open, and puts its recommendation on the record for your team to decide.
Regulated institutions have automated extraction — but not decisions.
The background
Cognance's CEO has spent over a decade in software and technology delivery, including work on modernizing financial platforms onto event-driven cloud architectures.
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, for judgment calls a well-governed AI can help resolve in under a second, with a human still in control.
The build
That became Cognance. The CEO built and deployed the KYC agent solo, end to end — the way regulated systems should be built: deterministic where it can be, AI-reasoned where it must be, and auditable everywhere. It's deployed on AWS today.
The team
To scale it, Mohammed Ishaquddin joined as CTO & Co-Founder — bringing 12+ years of data engineering, ETL modernization, and Agile delivery leadership. A builder and a scaler, aimed at the same problem.
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.
The founders
A builder and a scaler — ~23 years of combined engineering and delivery experience.
Syed Obaidullah Hussaini
CEO & Founder
Built and deployed the entire KYC agent end to end. 10+ years in software and technology delivery, including financial-services modernization.
Mohammed Ishaquddin
CTO & Co-Founder
12+ years in data engineering, ETL modernization, CI/CD, and Agile delivery leadership across finance, telecom, and marketing. Joins to scale the platform and the agent suite.
The thesis
The name-matching itself is a commodity. The durable advantage is the governance layer around the decision: tenant isolation, a complete audit trail, confidence-based routing, human fallback, and a labeled dataset that improves with every consented review. That is what lets a regulated institution actually trust a governed recommendation.