Autonomy is spreading faster than the tools to hold it accountable.
Fihan Systems builds the layer that decides what an autonomous system is allowed to do — a deterministic safety filter for robots, and a deterministic enforcement gate for AI agents. Both run on infrastructure you own, and both leave an audit trail.
A learned model is the wrong place to put a guarantee.
Robots and AI agents are being given more room to act — more autonomy over what they touch, and less of a human in the loop to catch a bad decision before it lands. The industry's answer has mostly been to make the model itself more careful. We think that's the wrong layer to trust. So we build the layer next to it: a small, deterministic, independently auditable component that gets the final say — over a robot's next move, or an agent's next tool call — and can be inspected after the fact by someone whose job is to sign off on it.
What both products are held to.
Deterministic when it counts
The component that says yes or no is simple, bounded and predictable. Same input, same decision, every time — which is what a safety reviewer or a security auditor actually needs to sign off on.
Runs on your infrastructure
Everything runs on equipment you own and control, with no dependence on an outside cloud service. It keeps working when the network doesn't.
Evidence, not assertions
Every decision is recorded in a tamper-evident trail that can be reviewed after the fact. Nothing important happens inside a black box.
The person behind it.
Hubert Kyeremateng Boateng
Experience building software applications, with deep expertise in AI security and edge computing. Committed to advancing agent safety benchmarks and deterministic enforcement for AI systems, alongside software that helps organisations achieve their objectives. Designs and publishes methodologies for staged-versus-executed rollout detection, to help teams verify what a system actually did against what it was supposed to do.
- DSc, Bowie State University
- MLA, Harvard Extension School
- BBA, Baylor University
Based in Maryland.
Want to know more before you talk to us?
Ask us anything we haven't answered here — the team, the roadmap, how we're funded, what we haven't built yet.