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Data infrastructure for AI model development, data labeling, evaluation, RLHF, and enterprise AI workflows.
Private company · YC alumni
Teams building AI features that need labeled examples, evaluation sets, and expert feedback but cannot run a data-ops team.
Niche down to one domain where expert review matters more than raw label volume and sell the workflow around quality control.
Legal AI teams need attorneys to review model outputs, rate risk, capture edge cases, and build evaluation sets without messy spreadsheets.
Legal AI teams need attorneys to review model outputs, rate risk, capture edge cases, and build evaluation sets without messy spreadsheets.
legal AI evaluation
legal AI evaluation. The strongest early customer already feels this problem, uses a workaround today, and can approve a focused tool without a long enterprise buying process.
Legal AI teams need attorneys to review model outputs, rate risk, capture edge cases, and build evaluation sets without messy spreadsheets.
The wedge is quality control and expert workflow, not generic data labeling, which makes it easier to sell into a narrow compliance-sensitive buyer.
Matter-type dataset intake, attorney review queue, rubric scoring, issue tagging, and model-evaluation exports.
Start with legal AI startups and boutique firms piloting document automation.
$499-$1,500 per month plus expert review seats.
YC lists Scale AI as a Summer 2016 data-centric AI infrastructure company.