The modern, agentic DAM platform for fast-growing teams

Configure AI tasks in natural language to extract exactly what your business needs from an asset. Ask: "What is the collar type of this T-shirt?" "Is this the interior or exterior of the car?" The LLM analyzes the image and returns structured metadata fields or tags - ready to power search, filters, and workflows.

Standardize classification by providing AI with approved values and controlled taxonomies. Whether it's "SUV" vs. "Sports Utility Vehicle" or "T-shirt" vs. "TShirt," the AI selects only from your predefined terminology, keeping metadata consistent across teams and systems.

Generate clear, contextual descriptions for every image using AI. Use them as alt text for accessibility, improve on-page SEO, or enrich asset metadata for search without manual effort.

Control which metadata fields appear in different folders and workflows, and which are mandatory. Require critical fields at upload to ensure completeness, improve discoverability, and maintain governance across different kinds of assets in your DAM.

Define allowed file types, size limits, naming conventions, and other checks on file upload. Apply folder-specific metadata requirements to maintain structure across teams and projects so your library stays clean, consistent, and production-ready from day one.

Prevent accidental or destructive changes to critical content. Restrict delete and move actions, lock metadata where needed, and safeguard live folders to maintain stability across production environments.

Keep assets in a draft state within your Media Library while you refine copy, visuals, or metadata. Publish to the web only when approved — and unpublish instantly if requirements change.

Monitor system-wide changes, permission updates, and administrative actions from a centralized, searchable log. Or, view the complete lifecycle of any asset, including uploads, renames, metadata edits, and tag updates. Stay compliant, accountable, and in control.