Custom model training
You own a check your team repeats every day.
We train a small model on your own past work, run it where your data already is, and prove it side by side against how you do it today. Your people keep the cases that need them.
A pilot on one check, under your NDA.
Does one of these sound like you?
Your data can't leave the building.
Drawings, images or records that public AI tools are not allowed to see, so the check is still done by hand.
Seen in: quoting from RFQ drawings, solder and optics inspection, carton print checks, tissue and satellite image review.
The decision can't wait for a server.
Your device has to decide on its own, where the signal is weak or a round trip is too slow.
Seen in: robot hands, delivery drones, lab robots, wearables, herd sensors.
The per-call bill grows with every customer.
You resell AI as credits because each model call costs a different amount, and the cheap calls cost as much as the hard ones.
Seen in: field-service dispatch, helpdesk replies, request sorting in AI editors.
How a pilot works.
- Pilot
- One repeated check or call, trained on a sample of your past images, documents or logs under NDA, in 10 working days.
- How it runs
- A small model handles the easy cases, a model trained on your data handles the rest, and only unclear cases go to your staff.
- Proof
- A side-by-side accuracy and speed report against how you do it today.
- Upkeep
- We retrain the model as your parts, defects, documents and requests change.
- Pricing
- A fixed pilot fee, then one fixed monthly fee per model. Quoted after we see a sample.
What we need from you.
A sample of past work
A few hundred images, documents or logs, with what your team decided for each.
How you decide today
Who checks, how long it takes, and what counts as a miss.
Your NDA
We sign yours. The data is used only for your model.
Why you can believe the report.
We publish our own tests of what people claim about models, with controls, including the claims that fail. One neuron posted as a reward-hacking detector told hacks from honest answers in 59 pairs of 100; another, found on held-out data, did it in 99. Your pilot report is held to the same standard: a figure, the method behind it, and what the model missed.