Company

We make agentic AI provable.

Based in Paris. Building infrastructure that proves what AI agents did — through cryptographic evidence any auditor can verify independently.

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01

Vision

AI that acts with integrity.

Every AI agent deployed in production should leave a provable trail. Not for surveillance — for trust. When AI decisions affect people, the people deserve to know what happened and why.

02

Mission

Make agentic AI provable, controllable, and safe in production.

We build infrastructure that proves what AI agents did — not through promises, but through cryptographic evidence that any auditor can verify independently.

03

The problem

AI is shipping faster than regulation can follow.

The EU AI Act will require enterprises to prove what their AI agents did — every decision, every data access, every override. Manual compliance processes built for annual audits cannot scale to real-time AI agents making thousands of decisions per minute.

The choice facing regulated industries is not whether to deploy AI — it is whether they can deploy it safely and provably. RADAR exists so the answer is yes.

EU AI ActArt. 12–16, 29, 55GDPRArt. 5, 17, 30, 32DORAICT.1–ICT.9NIS 2Art. 18, 20–23ISO 27001A.5–A.8

04

The product

RADAR: self-hosted compliance evidence.

A single Docker container that captures, hashes, and chains every AI agent decision into a tamper-proof Merkle tree. Your infrastructure, your evidence, your control. Regulators verify the chain independently — no vendor access required.

Learn more about RADAR →
TERMINAL
$ docker run -d -p 8080:8080 akioudai/radar
\u2192 Trial license auto-generated · 30 days · 5,000 events/mo
\u2713 Dashboard running \u00b7 http://localhost:8080

05

Open source foundation

Open source is our proof of work.

We maintain open-source projects that demonstrate our technical depth in AI enforcement, evidence, and infrastructure observability. Read the code. Run it. Prove to your board and regulator that nothing is hidden.

AKIOS OSS

Runtime AI enforcement

Kernel sandboxing, 44 PII patterns, Merkle audit. GPL-3.0.

EnforceCore

Policy-driven enforcement

Runtime policy checks for agentic AI. Intercept every external call. Apache 2.0.

Gauge

Coming soon

Infrastructure observability

Cost tracking, carbon monitoring, resource optimization for AI workloads.

04

Team

Built in Europe. Deployed everywhere.

AKIOUD AI is a small team of engineers based in Paris, France. We are self-funded, independent, and shipping. We believe in provability as a default property of AI — and we are building the infrastructure to make that real.

01

Provability is a right, not a feature

Every AI decision that affects people should leave a verifiable trail.

02

Evidence must live in your systems

The proof of what AI did belongs in your infrastructure. You own your evidence.

03

Proof, not promises

Our foundation is open-source. The code is the proof.