Your organization knows more than it can find.
Data Graphs changes that.
Critical knowledge is scattered across documents, databases, wikis, content systems, and people's heads. Data Graphs connects it all into a centralized, governed knowledge hub where both employees and AI agents can find precise answers instantly, not approximate search results.
Connected knowledge. Instant answers. Governed access.
Siloed knowledge costs more than you think
Enterprise knowledge lives in dozens of systems: document management, wikis, CRM, ERP, project tools, email archives, content platforms. Each system knows its own slice, but none understands the connections between them. Employees spend hours searching across systems, reconstructing context that should already be connected.
Traditional intranets and enterprise search tools treat this as a search problem. But keyword matching across disconnected systems does not create understanding. What organizations need is a knowledge graph that connects entities, documents, people, and processes into a single queryable foundation, accessible through natural language and governed by the same permissions that protect the underlying data.
Enterprise knowledge hub
Give employees a single place to find answers to questions that span departments, systems, and document types. A product manager asks "What customer feedback have we received about feature X in the last quarter?" and gets a precise answer drawn from CRM notes, support tickets, and survey data, not a list of search results to sift through.
Intelligent internal search
Replace fragmented search with context-aware discovery. When a user searches for a contract, they also see related assets: the counterparty, associated projects, key dates, linked communications, and relevant policy documents. The knowledge graph surfaces connections that keyword search cannot.
Connected customer intelligence
Combine customer data, market research, sales interactions, and feedback into a unified view. Uncover relationships between purchase patterns, engagement signals, and support history to power targeted marketing, informed sales conversations, and better product decisions.
From scattered information to connected intelligence
Model your knowledge domain: the entities, document types, relationships, and vocabularies that matter to your organization
Ingest content from existing systems: documents, databases, wikis, CRM, ERP, content platforms, and archives
AI-assisted enrichment extracts structure from unstructured content, linking documents to entities and relationships in the graph
Employees ask natural language questions and get precise, cited answers grounded in the governed knowledge graph
AI agents and copilots connect via MCP to build department-specific assistants, customer-facing tools, and automated workflows
Beyond search, wikis, and intranets
Ready to unlock your organizational knowledge?
See how Data Graphs can turn scattered information into connected intelligence that both people and AI can use.