What it sells
Continuously improving evals for agentic commerce
Business model breakdown
Buyer: who owns the budget?
UnverifiedAI labs and agentic-commerce teams that train or evaluate shopping agents.
Workflow: what inputs become what output?
Runs open competition on a Bittensor subnet where miners submit shopping agents evaluated in generated RL environments; resulting trajectories are used to train and evaluate commerce agents.
Economics: what it saves and how it charges
Miners earn Bittensor emissions for top agents; ORO sells trajectories, environments and evals to labs and agent builders. 4.56M trajectories scored.
Distribution: how it reaches customers
"Request a sample" lead form for model builders; open-source competition and Hugging Face datasets drive awareness.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2026-03-12 | — | $100M | — | news.google.com |
| 2026-03-12 | Y Combinator Fall 2026 | $100M | 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.