GreenlightGovern
Control who can access which models.
Coming soon
AI your organisation can actually put its name to.
Teams want the best models. Organisations need to know who is using them, what they cost and where the data goes. Greenlight puts one governed gateway between the two.
Access, spend and audit are handled centrally, and the infrastructure stays inside your boundary.
- Self-hosted
- Multi-model
- Central governance
One control plane for your organisation's AI
Control
Set boundaries around usage and spend.
Audit
Know who accessed what, when and through which path.
Own
Keep your AI infrastructure and data within your organisational boundary.
The problem
AI adoption shouldn't mean giving up control.
Model access usually arrives team by team: separate provider accounts, separate keys, separate spend. It works until someone asks who approved what, what it cost, and where the prompts went.
Without Greenlight
- Fragmented model access
- Multiple provider accounts
- Unclear ownership
- Difficult-to-track spend
- Policies spread across teams
- Limited central visibility
With Greenlight
- One organisational gateway
- Centralised model access
- Clear ownership
- Central spend controls
- Governed access
- Auditable activity
How it works
One gateway. Every model. Your rules.
Every request from a person or an application goes through the same path. Greenlight decides what is allowed, which model it reaches, and what gets recorded — so teams work against one organisational layer instead of managing providers themselves.
- 01
A request arrives from a team member or an internal application.
- 02
Greenlight applies access rules, spend boundaries and routing.
- 03
The request reaches an approved model, and the activity is recorded.
Governance
Govern AI use without slowing your teams down.
Greenlight gives your organisation one place to express its rules, so approval doesn't have to happen again in every team.
Access control
Define who can access which models and capabilities, and change it centrally when teams change.
Spend controls
Set organisational boundaries around AI usage and spending instead of discovering them on an invoice.
Auditability
Keep a clear record of access and activity — recorded as it happens rather than reconstructed later.
Central policies
Apply organisational rules consistently instead of relying on each team to interpret them.
Infrastructure
Run AI where your organisation runs.
Greenlight is self-hosted. The gateway, the policies and the audit record live on infrastructure you control, inside the boundary you already defend.
- Infrastructure stays under your control
- Prompts and data stay within the intended environment
- Reduced dependence on any single cloud or model provider
- Model access centralised in one organisational layer
Who it's for
Built for organisations putting AI into production.
Engineering
Access multiple models without building fragmented infrastructure per team.
Security & IT
Centralise access and visibility around how AI is used across the organisation.
Platform teams
Offer one common AI gateway to internal applications and product teams.
Leadership
Establish clear ownership of AI adoption, usage and spend.
Product preview
A single view of your organisation's AI activity.
An early look at the Greenlight console. Interface in progress, and the figures shown are illustrative.
AI infrastructure should belong to the organisation using it.
Traditional approach
Provider-by-provider access
Fragmented governance
Scattered spend
Limited central visibility
Greenlight
One organisational gateway
Central governance
Organisation-level controls
Consistent visibility
Resources
Questions, answered.
What is Greenlight?
Greenlight is an organisation-controlled AI gateway. Requests to AI models pass through it, so access, spend and audit are handled in one place instead of team by team.
Who is Greenlight for?
Organisations that want their teams using AI models while keeping access, cost and infrastructure under central control — typically engineering, platform, security and IT working together.
Why use a central AI gateway?
Because governance is hard to apply once model access is spread across separate accounts and teams. One gateway gives a single point where organisational rules can be expressed and activity recorded.
Can Greenlight work with multiple AI models?
Yes. Greenlight is designed as one gateway in front of multiple models, so teams choose from an approved set rather than managing providers individually.
Where does Greenlight run?
On your own infrastructure. Greenlight is self-hosted, which keeps the gateway, policies and audit record inside your organisational boundary.
How does Greenlight approach governance?
By centralising the controls that matter: who can access which models, what boundaries apply to usage and spend, and what record is kept of access and activity.
Private preview · Coming soon
Put your organisation in control of AI.
Give your teams access to powerful AI while giving your organisation the visibility, governance and control it needs.
Pre-release builds are available to invited testers. If you have an invitation, use the link above.