One gateway across every model and tool your teams already use.
New frontier models land every few weeks, each with different behaviour, cost and risk. Deciding that centrally, once, is an infrastructure decision — not something to leave to whoever's using ChatGPT this week.
of enterprise AI tools run without IT oversight.
Zluri, 2025of employees have used AI tools their employer never approved.
Microsoft UK, 2025of AI spend is lost to duplicate tools bought separately.
Netskope, 2026- Personal accounts and shadow tools nobody in IT signed off on
- A model swap that breaks a workflow or invalidates a DPIA with no warning
- No standard interface, so a policy written for one model doesn't survive a switch to another
- Model choice made ad hoc by whoever's using the tool, not by policy
- A gateway between your business and every frontier lab — one policy, any model
- Model routing set centrally, re-tested whenever a model changes, in a sandbox first
- A standing register of every tool, account and integration in use
- A sandbox that tests new models against your rules before they ever touch production
Most technical leaders start on the platform page to see how the gateway sits alongside what you already run — no rip and replace, your data stays in your environment.
Find out where your AI stands. Then decide.
Under a minute, an upload, or a visit. Something for the board either way.