AI Proof of Concept
A working prototype in two to four weeks that answers the feasibility question with real data.
A proof of concept is the fastest way to answer the question "will this actually work for our use case?" We build it with your real data, against your actual infrastructure, so the result tells you something meaningful — not a demo on a clean dataset that doesn't reflect what you'll encounter in production.
A typical PoC takes two to four weeks. It covers: one specific use case (not a broad exploration), your actual data piped through the AI provider you're evaluating, accuracy measured against a sample your team defines as ground truth, and a cost and latency estimate at production volume.
At the end you have a clear answer: the accuracy is good enough to proceed, or it isn't, and here's what would need to change. That's a better use of two weeks than a six-month project that discovers the same problem at go-live.
What the PoC delivers
Working Prototype
A real integration against your data — not a demo with a clean sample dataset.
Accuracy Measurement
Measured against ground truth your team defines, so the bar is yours.
Production Cost Estimate
API usage costs modelled at your actual volumes — no surprises at scale.
Go / No-Go Recommendation
A clear answer and the reasoning behind it — not hedged conclusions.