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 — roughly 300k lines of code and 3,000 tests in production today — and 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.