Question 1

What do you deliver in a 2 to 3 week rapid prototype?

Accepted Answer

A working functional prototype that demonstrates the core AI capability against your real data. Not wireframes, not slide decks. You get a testable application with measured accuracy, latency benchmarks, and a clear go/no-go recommendation. The prototype includes enough infrastructure to run user tests with actual stakeholders.

Question 2

What happens after the prototype phase?

Accepted Answer

Three possible outcomes. If the prototype validates the concept, we scope a production buildout with realistic timelines. If it partially validates, we adjust the approach and run another focused iteration. If it fails to meet your criteria, you have a clear technical analysis explaining why, which saves you months of building the wrong thing.

Question 3

Do we need to provide training data for the prototype?

Accepted Answer

Ideally yes, but we can work with limited data. If you have existing datasets, we use those. If not, we can generate synthetic data for initial validation or use publicly available datasets that approximate your domain. The prototype's accuracy improves significantly with real data, which is why we recommend providing it if possible.

Question 4

How is rapid prototyping priced?

Accepted Answer

Fixed-scope engagement with a defined deliverable and timeline. You know the cost before we start. No hourly billing surprises, no open-ended discovery phases. The prototype deliverable and success criteria are agreed upon in the first two days.

Rapid Prototyping Lab

What you get

Outcomes

Proof points

Frequently asked questions

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