Most AI projects fail not because the model is bad, but because nobody checked if the use case actually held up against real data first. We build a scoped proof of concept that answers one question directly — does this AI approach work for your business — before anyone commits budget to a full production build.
A proof of concept is cheap insurance against building the wrong thing at full scale.
You find out if the AI approach works before signing off on a six-figure build.
No stock demos — we run it against your actual documents, tickets, or transactions.
Weeks, not quarters. A POC has a fixed question and a fixed deadline.
If the use case doesn't hold up, you'll know before spending on the full product.
A working demo against real data convinces stakeholders faster than a slide deck.
A validated POC becomes the starting architecture for the production build, not throwaway work.
Structured to produce a clear answer, not just a prototype.
We define the specific question the POC needs to answer and the success criteria upfront.
We measure how the current manual or rule-based process performs, so the AI has something concrete to beat.
A functional prototype built against a sample of your real data, not synthetic examples.
A dashboard showing baseline process versus AI-driven process on the same metrics.
Realistic estimate of what a production build would cost, and what accuracy to expect at scale.
A direct recommendation on whether to proceed, adjust scope, or stop.
A quick prompt test tells you nothing about accuracy on your actual data, your edge cases, or your integration constraints. A POC is measured against a real baseline with your own data and a defined success threshold.
That's a valid, useful outcome. You'll get a clear report on why it didn't hold up and what would need to change — data quality, scope, or approach — rather than finding out after a full build.
Typically 2-4 weeks depending on data access and the complexity of the use case.
Yes, where it makes sense. A validated POC is usually the starting point for the production build rather than disposable code.
Tell us the use case you're evaluating — we'll scope a POC that gives you a real answer, not a demo.