What it sells
Experiment tracking for training ML models
Business model breakdown
Buyer: who owns the budget?
UnverifiedML engineers and teams.
Workflow: what inputs become what output?
Log metrics, gradients, media, git state and alerts for ML experiments; compute and inference planned.
Economics: what it saves and how it charges
Open-source with paid hosted plans.
Distribution: how it reaches customers
Self-serve free tier, GitHub; contact for Pro and Enterprise.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Spring 2025 | — | 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.