Verta Model Registry

Manage all your AI‑ML models in one place

Verta Model Registry is a central repository to manage and deploy production-ready models.

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Verta Registry ensures a reliable and automated release process.

One unified hub to publish release ready models

Select the best fit models from model experiments and stage them for release

Publish all the model metadata, documentation and artifacts in one central repository

Connect to experiment management system for end to end information tracking

Record state transitions and manage release lifecycle from development, staging, production to archived

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Model validation and CI/CD automation

Integrate with existing CI/CD pipelines like Jenkins, GitOps et al

Use webhooks to trigger downstream actions for model validation and deployment

Automatically track model versions and tagged releases

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Manage model governance and compliance

Release models once they pass basic security and fairness checks

Configure and customize model promotion schemes and approval process

Build custom approval workflows and integrate with preferred ticketing system

Access detailed audit log for compliance

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Increase visibility and collaboration

Unified view of all the models, documents, and artifacts for better monitoring and discoverability

Facilitate sharing, and collaboration of production-ready models

Setup granular access control editors, reviewers, and collaborators

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Compatibility

We Integrate With Your AI-ML Stack

Verta supports all of these popular platforms and frameworks—plus many, many more.

Try Verta Today

Run Verta as SaaS, On-prem, or in your VPC.