What it sells
Database for AI
Business model breakdown
Buyer: who owns the budget?
AI/ML and data engineering leaders at enterprises (Bayer, Matterport, Flagship Pioneering, MedTech).
Trigger: what makes them buy now?
Agents and data pipelines need grounded, versioned data and shared memory; claims data prep time cut by up to 80% and +18% RAG accuracy.
Workflow: what inputs become what output?
Deeplake database (vector+tensor, GPU streaming), Hivemind shared agent memory, Refinery continuous-learning software factory: observe, remember, improve, verify.
Distribution: how it reaches customers
Demo-led ("Book a Demo", working sessions) with case studies.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 2018 | — | 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.