Two lanes for AI. One rule: sensitive content stays home.
Oryvin runs language models on your own GPU servers behind a general gateway and a private gateway. Every request goes to the lane that fits the sensitivity of what it contains.
Routing by sensitivity, not by habit.
The question that decides where a request goes is simple: does this contain, or might it contain, protected information? If yes, it stays in the private lane on hardware you control. If no, it can use the general lane or an outside model where that adds value.
- Open-weight models hosted on your own servers
- A standard, OpenAI-compatible interface, so existing tools plug in
- Private lane isolated on its own host, dedicated to protected work
- Outside models used only for content that is safe to share, often as an independent reviewer
Everyday work
Assistants with sessions and memory, knowledge retrieval, coding help and model comparison.
Protected content
Isolated host. Only the capabilities protected work needs. Nothing leaves your network.
More than a chat window
General and coding models
A general-purpose model and a larger coding model, served from dedicated GPU hardware and shared by both lanes.
Sessions, memory and retrieval
Conversations that remember context, and retrieval over your own documents and knowledge.
Institutional memory
A searchable memory across projects and sessions, so past decisions are found rather than repeated.
Model comparison
A stateless lab for putting models side by side without keeping what was sent.
Images and speech
Switchboard routes image generation, image inspection, transcription and speech synthesis to the right engine.
Keys and identities
Scoped keys per client, including stateless identities limited to the calls they need.
Your data, your hardware, your terms.
Running models on infrastructure you own removes the need to send protected information to an outside provider. It also keeps the cost of everyday AI work predictable.
- Protected content never leaves the network
- No per-request fees for everyday work
- Models can be changed or upgraded as better ones appear
- One governed place to apply policy, logging and access
Put AI to work without putting data at risk.
We will show how the gateways fit alongside the tools your teams already use.
Request a briefing