AI deployment & integration
We embed AI into your operations. Measurable. Reliable. Proven.
A rigorous audit, a solution fit to your systems, a governed go-live — with, at every step, the measured proof of the result. Not a demo: a system that holds.
- Law 25 compliant
- Your data trains no model
- Outcome guaranteed by evaluation
The method
The scientific method, applied to AI.
We don't "try a tool and see". We state a falsifiable hypothesis, test it against your real data, then deploy under control. Three steps, no room for opinion.
Falsifiable hypothesis
We define the exact problem, the success metric and the "good enough for production" threshold — with you, before a single line is written.
Evaluation on real data
We build a test set anchored on your real cases and measure. Correctness becomes empirical: a score, not a promise.
Governed go-live
Shadow deployment, guardrails, human oversight calibrated to the stakes, then cutover — with drift monitoring.
Services
Website, RAG assistant, AI agents.
Three ways to put AI to work in your company. Each one ships with the measurement that proves the result — and a firm price before the first line of code.
Proof, not promises
Every step validates itself.
Our audit engine blocks progress until a measurable criterion is met. Compliance is guaranteed by construction; correctness, proven on your data.
Gated journey
Nine phases, each with its gate. We never move forward on a red step.
Hard evaluation gate
If the solution misses the target on your real cases: kill or pivot, never a blind go-live.
Native compliance
Law 25, automated decisions, data residency: encoded into the journey, not bolted on after.
Learning loop
Every (anonymised) engagement recalibrates our estimates. The more we deploy, the sharper we scope.