What it sells
Custom models trained on your data
Business model breakdown
Trigger: what makes them buy now?
Prompted third-party models do not learn from the company and are costly/slow; want faster, cheaper inference they own.
Workflow: what inputs become what output?
Discover (review system, define quality metrics), Refine (context/plumbing lift in days), Specialize (train model on customer data), Compound (production feedback loop); customer owns the weights.
Economics: what it saves and how it charges
UnverifiedLikely custom services/engagement fees for training plus cheaper inference; no pricing published.
Distribution: how it reaches customers
Engagement-led: Work with us form, reply from a Feyn engineer within two working days; open-source models and blog for inbound.
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.