How an AI project with Neuro Momentum runs

How a project with Neuro Momentum usually runs. The steps are small on purpose: each one ends with something you can look at and a point where you can stop.

1. A CONVERSATION

About an hour. You describe the process or the product; we ask what it costs you today, what data exists, who would use the result and what must never go wrong. Sometimes the honest answer is that a language model is the wrong tool, and then we say so.

2. A WRITTEN PROPOSAL

A few pages: what will be built, what will not, how we will know it works, what it will cost to build and roughly what it will cost to run each month. Fixed scope where the problem is understood, time-boxed where it is not.

3. A PROTOTYPE ON YOUR REAL DATA

One to two weeks. Not a demo on sample files: the smallest version that touches your actual documents and systems, together with a first set of test cases agreed with you. This is where most of the risk shows itself, which is why it comes first and costs little.

4. PRODUCTION

The prototype grows into a system: error handling, monitoring, access control, cost limits, evaluations that run on every change, deployment into your infrastructure or ours. You see working software every week, not a report at the end.

5. HANDOVER

Code in your repository, documentation your engineers can actually follow, a session with the people who will run it. After that we stay as little or as much as you want: on call, part-time, or not at all.