From idea
to live AI MVP.

In 2021, a founder we knew spent €200,000 and 14 months building an AI product with a traditional development agency. The product launched. Nobody used it. Not because the technology was wrong — because the market had moved while they were building.

That's the fundamental problem with long development cycles in fast-moving markets: by the time you ship, the assumptions you built on are outdated. The only way to avoid that is to ship faster than the market moves.

We designed our sprint process specifically to solve this. Four weeks is not an arbitrary number — it's the maximum time a market assumption stays valid without real-world validation. In four weeks, you can build something real, put it in front of real users, and learn whether your core hypothesis is correct.

The 12-week sprint exists for products that need more depth — but it's structured as three 4-week cycles, each with a working deliverable. You never go more than 4 weeks without something real to show, test, and learn from.

We've run this process across 40+ products. The ones that succeeded weren't the ones with the biggest budgets or the most sophisticated technology. They were the ones that got real feedback fastest and adapted.