What it sells
Data-centric infrastructure to accelerate the development of AI
Business model breakdown
Workflow: what inputs become what output?
Collect, curate and annotate data with expert contributors (RLHF, prompt-response generation, red teaming, evaluation), train models, evaluate, repeat.
Economics: what it saves and how it charges
Sells data and services to model builders and applied AI projects; pays a global contributor network (claims $1B paid to contributors, 15B human decisions).
Distribution: how it reaches customers
Demo-led enterprise and public-sector sales (Get Started / Book a Demo); no self-serve pricing.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 2016 | — | 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.