Solutions · Healthcare
Clinical grade inference on hardware the hospital owns.
Protected health information should not leave the building to be summarized. Metrale runs open models on GPUs inside your network, with residency, redaction and access as policy, and with the cost of every workload attributed to the department that ran it.
Where it fits
Why it fits
- PHI that must stay on premises or in a controlled cloud account
- Departments that share GPUs and need chargeback
- Clinical and administrative workloads with different risk profiles
- IT teams that cannot staff a Python serving stack
Workloads that move first
- Clinical documentation and summarization
- Prior authorization and coding assistance
- Research over de identified records
How it deploys
On premises or bring your own cloud. Air gapped where required. One binary per node, signed recipes, no runtime downloads.
The proof we bring
One signed binary with no interpreter in the request path means the security review is about the stack you can read, not two hundred dependencies you cannot.
Next step
See it against your own workload.
A side by side ladder on your hardware in week one. Your models, your criteria, your receipt.