IT & Security teams

Centralize and secure AI/ML model assets easily. So you can streamline and empower productivity.

Meets enterprise IT & Security architectural standards, deploying in the cloud or on-premise.

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Accelerate speed-to-production

Works in your Preferred Environment

Deploy in your private cloud or use our SaaS environment. SaaS environment provides a cloud-native web app compliant with SOC2 (Type-II) standards, maintaining the same functionality, performance, and security.

Efficiency

Flexible deployment options on Kubernetes cluster to fit your infrastructure needs with Virtual Private Cloud.

Delivers Best-in-Class Security and Access Control

Ensure all data and IP remains private and secure. Best-in-class security with SAML-based Single Sign-On (SSO), automatic user provisioning, and Role-Based Access Control (RBAC).

Benefit

Storing metadata and encrypting everything at rest and in-transit ensures all your confidential data remains secure.

Automate AI/ML Documentation in Pipelines

Leverage API to instrument your modeling and deployment pipelines. Pipeline instrumentation through the API ensures smooth and efficient collection of metadata from automated pipelines.

Benefit

Ensures documentation creation during modeling and deployment of models.

Encrypt all Data while Collecting all Data

Automatically gather datasets metadata from common datasources. Leverage a wide variety of data sources, both structured and unstructured, to facilitate comprehensive metadata gathering for all datasets.

Benefit

Extend to new data sources as needed.

Drop into Your Existing Workflows

Interact with your existing enterprise collaboration and documentation tools. Use existing workflows with out-of-box integration with enterprise tools: Office365, Google productivity suite, Confluence, JIRA and others…

Benefit

Enables multiple teams to work together effectively on AI projects.