/ founders hub
For founders building on language models.
You are shipping a product on top of a model or an agent, usually without a research team. This page is about the problems that show up, and how we help you get evidence instead of guesses.
/ where teams get stuck
Four moments we see often.
- 01
The demo works. Production does not.
Real users ask things the demo never covered. Without a task suite you find out from support tickets. - 02
You changed the prompt. Is it better?
Without a held-out evaluation, every change is a guess, and regressions ship quietly. - 03
Fine-tune or not?
Training costs time and compute. Sometimes it is the right call; sometimes evaluation and tooling get you further for less. - 04
Customers ask for proof.
Enterprise buyers want evidence of quality. A score with no stated conditions does not convince anyone.
/ how we help
Small, honest, useful.
We start with the cheapest thing that tells you something true, and only suggest training when the evidence says it will pay off.
Send one paragraph
What the product does, which model you use, and the failure that worries you most.
Get an honest read
We tell you what we would test first, and whether you need us at all.
Run a small sprint
A focused evaluation on your real tasks, with results you keep.
/ read first
Useful before any call.
Reward is not the task
Try the verifier lab on the home page: a weak check rewards a wrong answer, held-out tests catch it.try itNotes from the work
Write-ups of what we test and why, with their limitations stated.readTerms, in plain words
RLHF, RLVR, reward models, verifiers and held-out sets, explained briefly.glossary
/ talk to us