Own your decisions.
Train a custom decision model on your company’s data.
Coding optional.
Pick a decision and watch it work.
The same model shape handles routing, review, scoring and moderation. Yours is trained on your own cases and outcomes.
Incoming
Your model
Decisions
New
Mach-1 is our first decision model.
An LLM writes out its answer. Mach-1 is built only for decisions, so it answers in a fraction of the time, at a fraction of the cost. You train it on your own data.
See the API15–18×
faster per decision
400–1,000×
cheaper per decision
Speed: median time per decision on the same fraud-review cases. Cost per million decisions at list prices (GPT-6 Astra $10 / $50, Claude Opus 5.5 $4 / $20 per million input / output tokens) for about 1,000 input and 650 output tokens per decision; Mach-1 at $0.042 per million input tokens, no output tokens.
You can watch it train.
Each experiment is scored against your examples, and the best version is what your engineers call.
From your data to a model in production.
You describe the decision. We train the model, serve it and keep improving it.
Train
Train on your own decisions.
Describe the decision and connect your data. It trains on your examples and keeps only the changes that score better.
Serve
Call it from one endpoint.
Send the case and get a probability for every option in about 0.2 seconds, with no output tokens to pay for.
// request { "model": "your-org.ticket-router", "state": {"message": "Charged twice this month."}, "questions": { "team": {"type": "choice", "criteria": {…}} } } // response { "answers": {"team": { "choice": "billing", "probabilities": { "billing": 0.88, "support": 0.10, "engineering": 0.02 } }} }
Improve
It keeps getting better.
Add outcomes as they arrive and the agents retrain. Better versions serve under the same model name.
We’ll build the eval with you.
We sit down with your team and define what a good decision looks like, using examples you already have.
Agents train your model against that eval, around the clock.
You call it from your product by name, and it keeps improving after launch.
The model belongs to you.
Your model is trained on your data, for your decision, and it belongs to your organization.
Book a call- It’s yours. Trained on your cases and outcomes, not on anyone else’s.
- It’s fast. About 0.2 seconds per decision.
- It’s cheap to run. A small model built for one decision, with no output tokens to pay for.
- No ML team needed. We build the eval with you and the agents do the training.