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Who are you?

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The questions everyone asks first

We already tried AI and it flopped. Why would this be different?+

Because most AI projects fail after the demo, not before it — no evals, no adoption plan, no owner. The Signal Method writes the evaluation before the system and treats rollout as half the project. Bring us the flop; the autopsy is usually the fastest route to the fix.

Is our data ready enough for AI?+

Almost certainly readier than you think for some things, and less ready than vendors claim for others. The Sample phase includes a data-readiness snapshot, and roadmaps sequence only the cleanup that actually pays.

Is our data safe with you?+

Zero-retention API configurations by default, data flows documented before any build, access scoped and logged, and it all goes in the contract — not in a reassuring conversation.

Who owns what you build?+

You do. Code, prompts, evals, documentation — full handover, no license-back, no lock-in. We keep the right to say we built it; you keep everything else.

How fast do we see something real?+

Two weeks. The Signal Sprint ends with a working prototype on your data, not a report about one.

Do you work with our existing developers?+

Gladly — Embedded engagements often pair our AI specialists with your team, and every Build ships with docs and runbooks written for the people who'll maintain it.

What does it cost?+

Published floors: €4,950 fixed for a two-week Sprint, Builds from €25k with a fixed quote, Embedded from €7,500/month with pause-anytime. Details on the pricing page.