AI that ships,
not AI that talks.

A POC typically runs 2 to 4 weeks of scoped work. The budget depends on the use case and integration with your existing systems — we always price after the scoping workshop, on a clear perimeter and an estimated ROI. No catch-all packages.

A first working prototype in 2 weeks, testable under real conditions. Production rollout with monitoring and a human fallback follows depending on criticality — often 4 to 8 weeks total.

We're model-agnostic: Claude, GPT, Mistral, Kimi, or self-hosted open-source models. The choice depends on your cost, latency, language and privacy constraints — not on a technological bias.

Yes. We work with data isolation, no training on your content, and can deploy to private or sovereign hosting if needed. Access is segmented and journaled.

Yes, remotely, in French, English and Arabic. A portion of our projects are run for clients in Europe, the Maghreb and the Gulf, with regular check-ins over video.

Each agent is built with guardrails: confidence thresholds, human fallback, and full logging. Uncertain cases are escalated rather than guessed. We monitor errors and iterate on them.

Yes, when it's justified. A good RAG often suffices and costs less; but for highly specific domain vocabulary, we train a dedicated model on your data, keeping you in control of the training set.

We define metrics at scoping: time saved, automation rate, accuracy, satisfaction. They are tracked continuously in production — that's what distinguishes a real deployment from a POC sleeping in a drawer.