Serving
Open-weight models on your hardware.
Private AI Foundation
The runtime is the product. Model serving, Model Gateway, governance, RBAC, immutable audit, data protection and offline diagnostics. DocxIntel and AgentLab sit on it. They do not replace it.

Serving
Open-weight models on your hardware.
Gateway
One path for prompts and tools.
Controls
Policy, RBAC and audit in the path.
Offline
Diagnostics as a file you inspect.
One environment. Air-gapped, tenancy or bare metal.
Apache 2.0 and MIT files on disk, with licence text beside them.
DocxIntel and AgentLab use the same serving, gateway and audit.
Updates as signed offline bundles. Nothing calls home.
Vision/OCR, LLM, embeddings, reranking, four classes, open licences.
Every prompt and tool call addressed through one path.
Policy, DLP and HITL live in the path of inference, not after it.
Named access to model classes and data classes.
Written where the workload runs. Survives a pulled cable.
A file you inspect before it goes anywhere. Not a phone-home agent.
Four capability classes. Apache 2.0 and MIT only.
Who may ask what of which model, on which data.
Your legal team reads files, not assurances.
Nothing you process is retained by us, because it never reaches us.
Installed once. Applications attach.
You have bought a feature. If you start with the runtime, you have bought a perimeter.
DocxIntel and AgentLab inherit the Foundation. One security pack.
Starter is 8 vCPU and 32 GB. A GPU is never a precondition for beginning.
In every tier that touches customer data. That does not change with the substrate.
In your office, on your documents, with the cable pulled out. No competitor's sales engineer can do this.