Build a custom intelligence layer.
The models we build for you run faster, answer more accurately, and cost less to serve than the frontier API they replace.
Capture
Your moat is the data no frontier model has seen: documents, transcripts, logs, the corrections your team makes on every draft. We work inside your stack to get it training-ready.
Train
First we define what correct means: a schema, a rubric, ground truth you hold. Then fine-tuning and reinforcement learning against a grader built to that definition. All in your cloud.
Benchmark
Head to head against your current frontier API, on a frozen set from your own data, against a bar you set in writing up front. Our engineers stay until the model clears it.
Improve
Corrections keep arriving after launch, so every retrain ships a checkpoint that fits your work a little better. We keep the model easy to run, easy to update, and cheaper to serve.
Invoices here — but the task, the schema and the metric are yours. The same screens run a contract review or a support queue.
HumanBehavior
SkillSync
Pax Historia
Novoflow“We wanted our research agents fine-tuned on our own tool sets. Ashr could start on that immediately, using data we already owned.”
Head of Engineering
“Our custom model tripled browser agent performance on EHR workflows at over 20 medical clinics.”
Mathieu RihetCEO, Novoflow
“Their post-trained model is what we run our world model evals against now, and it's way more accurate.”
Researcher, Berkeley
Evals
The testing platform behind every model we ship — run your own agents through it today.
VISIT → 02Docs
SDK installation, quickstart, API reference, and integration guides for Python and TypeScript.
VISIT → 03Blog
Why testing is broken, how we built Ashr, and dispatches from the workshop.
VISIT → 04Talk to us
Thirty minutes with the team — demos, pricing, or just comparing notes on agents.
BOOK →