Before anyone commits to a build, we run a short, fixed-price feasibility study on the client’s own data. It is the cheapest way to find out whether a project is worth doing.
What we test
Whether the data exists and is good enough, whether the core approach works on a small scale, and how far the business metric could plausibly move.
What you get back
A written report, a working proof of concept, the risks we found, and a fixed quote for the build — or a clear recommendation not to build at all.
“If the study says no, you have spent weeks rather than months — and you know why.”
Why fixed price
It keeps the study honest. We are paid to find out the truth, not to stretch the work into a larger project.
Most failed AI projects could have been predicted in the first three weeks. A feasibility study is how you find out before the budget is spent.