Orchestrate where your AI thinks.
Locai is the intelligence, orchestration and routing layer for where your AI runs. One endpoint enforces your inference policy: routing every request to device, on-prem, private cloud or frontier API, optimised for cost, privacy and latency.
Locai gives you Control
The scalable intelligence, orchestration and routing layer for your AI: every node, model and policy on one plane of glass. What ran where, on whose silicon, at what cost, and why the router sent it there.
Locai is in early development. Some features shown may not yet be in production or are in early testing. Before purchasing, please reach out at hello@locai.co.uk to enquire about specific capabilities.
Locai lets you Work
Chat, documents and search for your whole team, running on the infrastructure you already own. Nothing syncs to a third-party cloud.
Why redirect inference at all?
One endpoint, four places to run. The reasons to choose between them are not exotic. They are the four things every AI product eventually runs into.
Silicon your customers already own does not. Move the routine work off the meter and keep the frontier bill for the requests that earn it.
Nor can it train someone else's model. Keep the sensitive path inside your estate and compliance becomes a property of the architecture, not a review to survive.
No round trip, no queue behind someone else's traffic. Interactive work feels immediate when the answer is computed where the question was asked.
Ships, sites and clinics lose connectivity as a matter of routine. When the model is already local, an outage is an inconvenience rather than a stoppage.
Pay for orchestration, not per token
Infrastructure prices the estate. Workspace prices the people on it. The silicon is already yours.
Locai is in early development. Some features shown may not yet be in production or are in early testing. Before purchasing, please reach out at hello@locai.co.uk to enquire about specific capabilities.
For hobbyists and students getting started with sovereign AI.
For businesses adopting localised AI across a small fleet.
For scaling teams operating a growing fleet in production.
For large-scale, mission-critical deployments.
Volume commitments and private deployment available.
For solo professionals trying private AI on their own device.
Self-serve deployment for teams that run their own IT.
Fully managed rollout with dedicated onboarding.