A modern Digital Asset Management platform for 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.

Assign View, Update, or Manage permissions to individuals or teams to grant limited access to sensitive assets.

Use password-protected public links to share assets with external partners without granting full library access.

Build virtual collections of files or folders to share assets with teammates and clients - no duplicates, no extra storage. Update the master file once, and every collection reflects the change automatically.

Capture comments, approvals, and version history in one timeline. See what changed, why it changed, and how the asset evolved without losing context.

Use the built-in ImageKit editor to resize, crop, and enhance images with overlays and AI transformations, then save updated versions directly to the same asset record.