Solutions
Built for the people who own the GPUs.
Three kinds of buyer open their wallets for inference economics. Operators who resell GPU time, enterprises that run AI on their own estate, and teams that need a box under a desk. Pick your industry.
Own the GPUs
Fleets that sell or run capacity, and the datacenters that hold it.
Neoclouds and GPU providers
You sell GPU time. Metrale makes every hour of it produce more tokens.
Read the solution →Enterprise datacenters
You invested in the datacenter. Now get the most out of it.
Read the solution →Hyperscalers and cloud platforms
More effective capacity from the fleet you already bought.
Read the solution →Regulated industries
Where the prompt cannot leave the building and the auditor reads the log.
Public sector
Government, defense, police and city halls, on networks of their own.
Government and defense
Air gapped by design. Signed by default. Nothing leaves.
Read the solution →Police and public safety
Evidence stays in the evidence room. So does the model.
Read the solution →State and local government
The paperwork of a city, read by a model the city runs.
Read the solution →Research and edge
Labs that need every token they can get from a box, and small teams with a box or two.
By deployment
Enterprise datacenter
Owned GPU fleet, existing serving stack, a CFO who wants the bill explained.
Open →Neocloud and GPU provider
Tokens are cost of goods sold. More tokens per GPU is margin.
Open →Air gapped and sovereign
Nothing leaves. Signed artifacts, local install, telemetry that stays home.
Open →Workstation and SMB
One box, one license, the same engine. Stop renting tokens.
Open →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.