What it sells
AI engineering capacity. Made simple. ⚡️
Business model breakdown
Buyer: who owns the budget?
UnverifiedEngineering/AI leaders and AI research teams at companies and frontier AI labs.
Trigger: what makes them buy now?
Need AI engineers or expert evaluators fast without long hiring cycles; need SFT/RLHF data and evals for model training.
Workflow: what inputs become what output?
Search the vetted network by role/stack/availability, shortlist and interview, then add individual engineers, flexible teams or evaluation/data-labeling capacity; for training, scope datasets/evals and deploy contributors in about 7 days.
Economics: what it saves and how it charges
Talent marketplace and managed services; claims 48 hours to first shortlist, 7,000+ vetted specialists, 2.5M+ contributor pool, 97% first-match success. Fee model not published.
Distribution: how it reaches customers
Sales-led: talk to an expert / request a dataset form, plus searchable talent network.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 2021 | — | 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.