Diligence & Compliance AI

Stealth. Backed by Robot Ventures.

The role

CTO and founder of a post-revenue stealth company building agentic diligence and compliance AI for regulated financial customers. Details are intentionally light while we're heads-down.

I rebuilt the platform solo in 10 weeks: about 300k lines of code and 3,000 tests in production today. It has grown to over 25 paid accounts since May 2026.

We work with funds, banks, and commercial partners, and are in talks with federal government bodies, for KYC/AML and related embedded agentic workflows.

What I can talk about

• Leading product and engineering for an agentic due-diligence platform.
• Owning the security and compliance posture that lets AI be deployed into regulated environments, the bar that usually blocks early-stage AI tools here.
• Turning slow, document-heavy review into a fast, auditable pipeline that keeps a human in the loop.

Why it matters

Compliance and diligence are where most AI products stall: the workflow is real, but the trust, auditability, and security requirements are non-negotiable. Building those in from day one is the difference between a demo and something a regulated institution will actually run.

More once we're out of stealth.

Inside the platform: an agentic entity risk profile and executive summary.