Run open-source models entirely on your own hardware. Zero cloud, zero per-token cost, and watch every node do the work in real time. The control plane for a private model fleet.
Mid-sized operations want intelligent automation (proposal generation, machine-data analysis) but cloud APIs are too expensive at scale, and keeping data in public clouds risks leaking IP. Enclave deploys optimized open-source models directly on company servers (100% offline, no API subscription) and runs the whole fleet from one screen.
- One-command onboardingInstall the agent on an on-prem machine (a single `curl … | sudo bash`) and the node appears. No data ever leaves your network.
- Real-time fleet overviewEvery on-prem node, live: throughput (tok/s), pooled VRAM (223/336 GB), queue, temperature. Node-01 (2× RTX 4090 · Llama-3.3-70B), Node-02 (RTX 6000 Ada · Qwen2.5-72B), Node-03 (2× A100 · DeepSeek-V3)…
- Model catalog + hardware-fit predictor40+ open models (chat, code, vision) with a hardware-fit predictor: the quality-vs-speed tradeoff is shown clearly, not buried in jargon.
- Automation & pipelinesRoute requests to the right node and chain local pipelines (proposal generation, equipment analysis) without ever leaving the network.
- Deployment & savingsA guided deploy screen and a savings board: what the same workload would cost on cloud APIs vs on your own hardware.
The intelligence of your data, without ever exposing it.
