Every asset connected.
Every format, one graph.
Images, video, audio, documents, and structured data are not separate management problems. They are one content ecosystem. Data Graphs unifies all asset types into a single knowledge graph where relationships between content, metadata, people, and processes are queryable, governed, and accessible to both humans and AI.
Images, video, audio, documents. One graph. Full context.
Content silos are costing you more than storage
Organizations manage content across DAMs, MAMs, PIMs, CMSs, file shares, and cloud storage. Each system handles its own format. Videos in one place. Images in another. Documents in a third. The metadata that connects them, rights information, campaign context, product associations, approval status, lives nowhere consistently.
Traditional asset management tools treat each format as its own domain. But the real value of content lies in the connections: the product a video features, the campaign it belongs to, the people who created it, the rights that govern its use, the performance data that measures its impact. Without a connective layer, these relationships are invisible.
Unified content hub across enterprise systems
Bring together content from DAM, MAM, PIM, CMS, and other systems into a single knowledge graph. A media company unifies videos, images, articles, and metadata, transforming content findability, reuse, and cross-team collaboration. Every asset is connected to the people, products, campaigns, and rights that give it context.
Intelligent content discovery
Move beyond keyword search to relationship-aware discovery. A retailer finds product videos connected to customer reviews, social posts, and campaign performance data. Search surfaces not just the asset you asked for, but everything related to it: usage history, rights status, associated campaigns, and performance metrics.
Content performance optimization
Integrate content with engagement data to understand what performs and why. A media company analyzes video and audio performance across platforms, connecting asset metadata to audience metrics. Identify which content drives engagement, which formats work best for which audiences, and where to invest next.
Governed content lifecycle management
Automate content governance from creation to retirement. A pharmaceutical company manages marketing content with approval workflows, regulatory compliance checks, brand guideline enforcement, and rights management. Every content decision is tracked, auditable, and compliant.
From scattered assets to a connected content graph
Model your content domain: asset types, metadata schemas, relationships, taxonomies, and governance rules
Ingest assets and metadata from existing DAM, MAM, PIM, CMS, and storage systems via API or bulk import
AI-assisted enrichment extracts metadata, tags content, and links assets to entities and relationships in the graph
Teams discover and query content through natural language, structured search, or graph traversal
AI agents connect via MCP to power automated tagging, recommendations, compliance checks, and content workflows
Beyond traditional DAM and MAM
Ready to unify your content ecosystem?
See how Data Graphs can connect every asset, format, and relationship into a single governed, AI-ready content graph.