Production-grade language models, fine-tuned to your domain.
Custom training, retrieval, and evals, shipped to your cloud with the observability and guardrails you'd build yourself, if you had a year.
- Pilot to production
- 0-8wk
- P95 inference latency
- <0ms
- Eval-set lift
- 0-70%
- Production observability
- 0/7
Models that know your domain, not the open internet.
Off-the-shelf LLMs are trained on the public web. Yours probably needs to know contracts, claims, code, or clinical notes. We fine-tune, retrieve, and align so the model behaves like a senior team member, not a generalist.
- Domain-adapted fine-tuning on open-weight or frontier models
- Retrieval-augmented generation grounded in your data
- Evaluation suites tied to business outcomes, not vibes
From discovery to production.
- 01
Discover
We audit your data, identify the strongest opportunities, and pick the model strategy: fine-tune, retrieve, or both.
- 02
Prototype with evals
We build a measurable evaluation suite first, so you know whether the model actually works before shipping.
- 03
Deploy
Shipped to your cloud with cost controls, latency budgets, and PII handling locked down from day one.
- 04
Operate
Continuous evaluation against live traffic, drift detection, and continuous improvement.
Have a model project that's stuck between prototype and production?
Book a 30-min consultWhat you get.
Latency, cost, and quality, all measurable, all controlled.
We deploy to your AWS, GCP, or Azure account with bring-your-own-VPC routing. PII never leaves your cloud. Inference costs are tracked per-tenant. Drift is detected in hours, not weeks.
- Bring-your-own-VPC inference; data stays in your perimeter
- Per-tenant cost dashboards and SLO budgets
- Drift alerts and automated re-evaluation on new traffic
Common questions.
Turn a stalled LLM project into a production system.
Free 30-minute consultation. Bring a problem, leave with a plan.
Schedule consultation