Small language models · custom-built & shipped
Stop renting intelligence
by the token.
Own a small model that does your job — cheaper, faster, private, and forever. Train big once to teach it; deploy small to run it. Lower operating cost, higher close rate.
The problem
The frontier bill never stops growing.
Every answer is a metered API call. Scale your traffic and the invoice scales with it — forever.
Your prompts and customer data leave your building. The vendor can change the model, the price, or the terms.
You’re paying frontier prices for a narrow, repetitive task a small model could own outright.
The model
Train big once. Deploy small forever.
A frontier model earns its keep one time: it defines the task, generates and curates the training data, and sets the quality bar. You pay the big model to teach — not to run.
A fine-tuned small model hits that bar on your narrow job, then runs local, offline, and fast — at near-zero cost per call. You own the weights. The recurring bill stops.
The proof — measured, not promised
Numbers from our own work.
accuracy — a 4B we fine-tuned, one short run
a tuned 4B matching models 30× its size
tool-call reliability that completes the action
no API bill once it runs on hardware you own
See the full head-to-head and method in the research →
Why it wins
Six reasons owners choose it.
The per-token invoice that grows with your traffic becomes a one-time training cost plus cheap, owned inference.
The model and the data are yours. No vendor can raise your price, deprecate your model, or read your prompts.
Runs on your hardware — even fully offline. Your proprietary and customer data never leaves the building.
No network round-trip to a frontier API. Answers come back fast enough for real-time voice and chat.
We select the base by measurement, so the model actually emits the clean JSON that completes an action.
Swap it in behind your existing interface. If you ever leave us, you keep a working, documented model.
Good for
Narrow, high-volume, or private.
How we work
Measured end to end.
- 1Select the base by measurement
We score candidate models on your production criteria — not brand or leaderboard.
- 2Fine-tune against a held-out gate
The tuned model must pass objective checks it never trained on, red-first, before we ship.
- 3Ship it — and tell you the edges
You get a model you own, documented, and an honest map of where its competence ends.
Own your model.
Lower the bill. Close more.
Two ways to move: have us build and ship it, or bring us in to advise. Either way, it's measured — we show you the numbers before you commit.