Lower AI costs,full productivity.
Control AI costs and security while giving developers the best AI for every task.
01
AI infrastructure assessment
Two weeks to a map of your AI estate and a plan.
02
Gateway setup
One governed layer for every AI request.
03
Cost optimization
Budgets that stop AI overspend.
04
Documentation
Every policy, route and budget, written down.
05
Company-wide rollout
Every team, app and agent on the gateway.
A typical company today
Every team connects to AI on its own.
Teams call ChatGPT, Claude and Gemini directly, with nothing in between to check the calls. That leads to four problems.
Shared API keys
Nobody can tell which team made which call.
One invoice
Nobody knows what each team spends.
Unchecked agents
Agents use tools that nobody approved.
Data leaves
Customer data goes out in prompts, unchecked.
With a gateway
One control point in between.
You choose the gateway.We implement it and everything that comes with it.
Vendor-neutral. We sell none of them.
The control plane
Six questions it answers.
Models
Can you switch models without code changes?
One endpoint for every model. Switching is a setting, not a release.
Spend
Is there a budget that stops overspend?
Budgets per team and app, enforced at the gateway before the call goes out.
Access
Who may use which model?
Access follows your identity provider: teams, roles and one key per app.
Security
What data may leave?
Prompts are checked for personal data before they leave your network.
Observability
What is happening right now?
Every call is logged with team, model, latency and cost.
Audit
Can you prove what happened?
An audit trail for every request, kept as long as you need it.
Why Goverent
Independent of the vendor.
Implemented in your cloud.
Practitioners
We worked on Unity Gateway at Databricks.
One method
Every gateway scored on the same eight criteria.
A plan first
A two-week assessment you keep.
Bring your AI infrastructure
under control.
Engagements start with a two-week assessment.
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