Matching built for buyers
From RFI noise to a three-partner shortlist with fit, risk, and cost on one sheet — usable in founder and procurement meetings. We score stack honesty, privacy posture, vertical depth, and sprint economics. When partners claim “LLM expertise,” we check real model paths (including real model paths where relevant) — not slide decks.
Search AI studios by specialty, region, delivery model, and privacy posture. Operator-vetted entries — not paid placements dressed as reviews.
Constraints, budget band, must-have stack, data residency → structured brief. We reject vague “AI strategy” briefs and ask for outcomes.
Structured comparison: stack, privacy, vertical depth, sprint economics, red flags. One sheet for the buying committee.
Context already shared with vetted partners. You walk into the first call with a scored shortlist, not a cold LinkedIn blast.