A working AI proof-of-concept on your real data, so you can see whether it delivers before committing to a full build.

Who it's for: teams that want to add AI to a product or workflow (a RAG assistant, document processing, call review, lead routing) and want an honest answer on whether it will work.

A short feasibility check: your use case, data and constraints, and a straight recommendation

A working prototype on your data, ready to demo or test with real users

Grounding in your own data (RAG) and an evaluation of accuracy, so results are measured, not assumed

A plan for taking it to production, if it is worth it

We are model-agnostic (GPT, Claude, Gemini) and pick per use case on accuracy, cost and latency. Your data is not used to train external models.

Feasibility: use case, data audit, success criteria

Prototype build on your data

Evaluation and demo

Recommendation and production plan