From AI Concept to Funded MVP

The founder had deep domain experience and a notebook full of feature ideas, but no in-house developers and limited runway. They needed a partner who could challenge scope, prioritize ruthlessly, and ship a credible product for investor conversations and pilot customers—not a slide deck.

We ran structured discovery workshops, narrowed the first release to a single high-value workflow (defect detection on a production line with human-in-the-loop review), and delivered a cloud MVP with an API, web dashboard, and model pipeline. Weekly demos kept alignment tight; we documented architecture and handoff paths so they could later hire or scale the team with clarity.