Expert intelligence, no connection required.
We train a custom "expert" model on your organization's own systems and data, then package it to run fully offline — on-prem, air-gapped, or embedded directly on-device. Built for regulated finance, healthcare, research, and industrial environments where the data simply cannot leave.
No API calls, no cloud dependency, no data ever leaving your network — on-prem server, air-gapped facility, or embedded on-device.
Not a generic foundation model — an expert distilled from your own schemas, logs, documents, and domain vocabulary.
Retrain and redeploy new model versions on a schedule you control, packaged for delivery to disconnected environments.
From your live systems to a deployable expert model, with nothing ever leaving your boundary.
We work inside your environment to profile schemas, documents, logs, and domain vocabulary — the raw material the expert model will learn from.
A capable base model is fine-tuned and distilled into a smaller, specialized expert — accurate on your domain, small enough to run without a data center.
Delivered as a self-contained package — Docker image, appliance, or embedded runtime — for your air-gapped server, industrial PC, or device.
The reasoning and methodology behind turning a general-purpose model into a small, specialized, deployable expert.
Compresses a capable general model down to what your systems actually need — narrower scope, smaller footprint, no loss on the tasks that matter.
Every package is tested with outbound network access physically blocked, so "offline" is a verified property, not a claim you have to trust.
A small local expert model is not the same as a frontier cloud model — we measure and report the real gap rather than paper over it.
New model versions are trained centrally, then delivered as signed offline packages your team installs on your own schedule.
A distillation and packaging pipeline that turns a general-purpose model into a small, verified, fully offline expert — deployable anywhere from a server rack to a single device.
No API calls, no telemetry, no phone-home — verified by testing with outbound network access physically blocked.
Docker image, signed binary, or embedded runtime — sized to fit an air-gapped server, industrial PC, or single device.
Every deployment ships with a real offline-vs-cloud accuracy comparison, so your team knows exactly what trade-off it's making.