Built by people who answered to auditors first.

Why we built a runtime.

The AI industry built observability first and governance second. We think that is backwards. Observability tells you what the AI did yesterday. Governance gives you a record you can prove. Raidu exists to move governance into the execution path, with a tamper-evident hash-chained record per execution.

A policy document in a wiki is not a runtime. A dashboard is not proof. A log file is not evidence. The gap between the policy and the evidence is what burns enterprises. It is where every AI program stalls. It is where every regulator focuses. Raidu closes that gap at the runtime, with five checkpoints and a signed record that proves what happened.

We are small by design. An early-stage team with a clear product and a specific buyer. Built for healthcare systems, banks and federal contractors that need to prove, not monitor, what their AI did. We will hire when the customers demand more throughput than the current team can deliver. Not before.

Ten full-time people across engineering, security, compliance, customer engineering, go-to-market, design, operations and legal. Prior careers include regulated cloud infrastructure, model risk management, adversarial red-teaming, and healthcare IT.

Names and bios are shared with qualified buyers and press during diligence. We prefer to let the records speak first.