Verta Model Catalog ensures a reliable and automated release process.
Model Catalog makes model discovery, integration and governance easy across your enterprise
Data scientists publish all model metadata, documentation, artifacts in one central catalog
Engineers can find up to date model documentation, API contracts and container packaging and stay current with changes
Governance and Risk teams can monitor model I/O and performance, and administrate governance rules.
Executives and leaders can watch the adoption and growth of AI/ML programs throughout your enterprise and discover new opportunities to reuse existing technologies
Release Readiness with Model Catalog
Record and manage release lifecycles from development and staging to production and archive
Automatically track model versions to monitor the progress of ML iterations and simplify the model update process
Ensure models are ready for production release with custom governance checklists. Scan models for vulnerabilities and review training data for bias easily
Use web hooks to trigger downstream actions for model validation and deployment
Access detailed audit log for compliance
Deploy to production confidently with simple machine learning governance tools
Enterprise-wide visibility and transparency to your organization’s machine learning assets in use, retired or on deck
Promotion and Deployment checklists and automations for data scientists and engineers that can be customized and configured by your risk and ethics teams
Standardize model documentation, model schema and API management across your machine learning assets
Easily configure deployments and monitor all models in production within the platform
Track external and on-prem deployments in your model catalog
Take a Tour
One platform, all of your model delivery needs.
Full-lifecycle model management from experiment tracking to production registry
Ensure production-quality operations with reliable governance and auditing.
Reliable batch and real-time inference & serving on any k8s infrastructure.
Keep models relevant with real-time decay monitoring and logging.
We Integrate With Your AI-ML Stack
Verta supports all of these popular platforms and frameworks—plus many, many more.
Don't take our word for it. See what others are saying.
Scribd utilizes machine learning to optimize search, make recommendations, and improve new features.
LeadCrunch's Data Science teams create Machine Learning models that help B2B companies find better prospects faster.
A leading collaboration platform utilizes ML to prevent abuse, make recommendations, and improve user experience.