What we solve
For businesses and product teams with an AI idea but no evidence yet that it is valuable or feasible. Before committing to a large build, we define the specific question the prototype must answer.
What you get
A demonstrable prototype or narrowly scoped MVP, test results, and a decision on what comes next: develop the idea, revise the hypothesis, or stop without unnecessary expense.
What is included
- A clear hypothesis and decision criteria
- Preparation of test data and scenarios
- A working prototype of the key capability
- User testing and quality measurement
- Findings, limitations, and a plan for the next version
How we work
- Narrow the idea to one testable question.
- Build the smallest working version.
- Test it against agreed scenarios and a representative sample.
- Record the results and make a decision based on evidence, not guesswork.
Optional additions
- A clickable interface
- An outline of the potential economics
- A technical architecture for the next stage
- A demonstration for internal stakeholders
Important considerations
A prototype tests a specific hypothesis; it is not automatically a production-ready system. Reliability, security, and scalability requirements are assessed separately.