In legal, healthcare, finance, tax — anywhere a wrong answer carries real liability — your AI can't ship until an expert defines what's OK. Gappy turns expert OK / NG calls into eval sets, guardrails, and RAG knowledge.
Domain experts grade what your AI actually said — 15 minutes per task
Everything you need to turn expert judgment into reusable eval data
Experts organized by industry, role, years, and facility type — vetted operators, not crowd labelers.
Turn real AI answers and edge cases from your product into judgment tasks in minutes.
Experts mark OK / NG, the reason, and the exceptions — about 15 minutes per task.
Who judged what, when, and why — a record you can show customers and auditors.
Ship results as eval sets for CI, guardrail specs, and RAG-ready knowledge.
Scoped expert supervision — show exactly what was reviewed, no name-lending.
Crowd labelers, general-purpose, noisy on specialized domains.
Vetted domain experts who actually run the operation.
Advice in a meeting you can't reuse or audit.
Judgment work that becomes structured, reusable eval data.
Your engineers burning weeks on one-off eval sets.
A workflow that produces eval sets, guardrails, and RAG knowledge.
An expert title with no record of what they approved.
An audit trail: who judged what, when, and why.
Bring 100 real AI outputs from a feature you're trying to ship. In two weeks, we return a graded eval set and a guardrail spec, hand-built with a domain expert in your vertical. You keep the data.
Gappy is the judgment-data layer for vertical AI. Domain experts grade your real AI outputs — OK / NG, reasons, exceptions — and we turn those calls into eval sets, guardrail specs, and RAG-ready knowledge, with a full audit trail of who judged what, when, and why.
In a penguin colony, the first one to dive into unknown water takes the risk — and eats first. Our First Penguins are the 5 design partners who get their eval set hand-built, free, before anyone else. They shape the product and keep all the data.
Teams shipping vertical AI — AI dev shops, internal AI teams, and startups — in domains where a wrong answer carries liability: legal, healthcare, finance, tax, insurance, compliance. Your PoC works, but you can't certify it for production because the domain's judgment standards don't exist as data.
Annotation vendors give you crowd labelers at scale; they're noisy on specialized domains. Gappy's judges are vetted operators in your vertical, and the output is structured for AI operations: eval sets, guardrails, and exceptions — not just labels.
Pricing is a platform fee plus per-judgment task fees — we'll validate exact numbers with First Penguins. The benchmark we beat: expert-grading one eval set in-house runs $100k+ and isn't reusable.
A team that shipped vertical AI into production, hit this exact wall at the certification gate, and won the OpenAI Business Hackathon 2026. We're not arguing experts matter — we got punched by the missing judgment data ourselves.
5 First Penguin slots. 100 judgments. 2 weeks. ¥0.
🐧 Register as the 1st First Penguin