Beztly AI

Give every team a governed way to ship models.

You are the bottleneck not because you want to be, but because there is no safe default. Mauvi makes the safe path the easy one.

The requests you keep getting

A team wants an endpoint for a model you have not evaluated. Another wants more capacity during a launch. A third wants to know why last quarter's GPU bill doubled and which project caused it.

These are all the same request: somebody needs a boundary they can operate inside.

  • Self-service inside a policyTeams create endpoints from approved model and runtime templates, within quotas you set once.
  • Cost attributed at sourceSpend rolls up per tenant and endpoint, so the quarterly conversation has an answer in it.
  • One revocation pathOffboarding a team, a service or a model is a single action with an audit record, not a hunt through four consoles.
quota current billing period
payments-platform1.2M / 1.5M req
risk-research410k / 1.0M req
support-tooling940k / 1.0M req
sandbox24k / 200k req
support-tooling at 94% · soft ceiling

Bring your messiest request queue.

We will map three real requests onto a Mauvi policy in the demo and you can judge whether it holds.