What it sells
We Create Superior Data By Making Annotation Competitive
Business model breakdown
Buyer: who owns the budget?
UnverifiedML / data science leads at AI companies and medical device or biotech firms.
Trigger: what makes them buy now?
Need for high-quality labeled training or evaluation data, e.g. to accelerate FDA clearance of a model.
Workflow: what inputs become what output?
Design the dataset, have 100,000+ vetted experts and/or AI models annotate independently in competition, aggregate the best signals by measured performance, deliver via API, JSON, CSV or DICOM.
Economics: what it saves and how it charges
UnverifiedManaged data labeling and model evaluation service, likely priced per project or per label; competition-based QA is the quality claim.
Distribution: how it reaches customers
Demo-led sales (Book a demo), industry and data-type solution pages, case studies, partners page.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Winter 2019 | — | Y Combinator | ycombinator.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.