Solution
Govern models and agents before they multiply.
An inventory, a review path and an audit trail for every model and AI agent your organization relies on.
The problem
What teams are dealing with.
- Models and assistants go live without anyone recording that they exist.
- Approval is a meeting, and its outcome is an email.
- When a regulator or a customer asks how a decision was made, the answer has to be reconstructed.
Why it stays unsolved
Existing approaches fragment the workflow.
- Model registries, AI gateways and governance registers are separate systems kept in step by hand.
- The record of approval is detached from the thing that was approved.
The DooHorizon solution
DooHorizon keeps the evidence, the approval and the deployment together.
MLDoo
Status: PreviewRegisters each model with its Model Passport and moves it through review.
About MLDooAIDoo
Status: Coming SoonIs designed to register agents, prompts and tools, and to trace each run.
About AIDooGovernanceDoo
Status: Coming SoonIs designed to give risk and compliance one view of all of them.
About GovernanceDoo
Reference architecture
How the pieces are arranged.
- ModelsAgentsPrompts
- Registry
- Risk rating
- Approval workflow
- Monitored deployment
Example business workflow
Nothing reaches production without passing the same path.
- Register
- Document
- Rate risk
- Review
- Approve
- Deploy
- Monitor
Business outcomes
What this lets you do.
- Keep a current inventory of models and agents.
- Review a model from its evidence, not a summary of it.
- Show who approved what, and when.
- See how a deployed model is behaving after release.
Governance and security
How it stays under control.
- Model Passport fields include owner, training data, performance, limitations, risk rating and approval status.
- The MLDoo audit trail is chained so that alteration is evident.
- Agent governance is part of AIDoo's design and is not yet available.
Start with this use case.
Start with one use case. Expand across the ecosystem.