Deploy AI agents that automatically extract entities, relationships, and temporal context from unstructured data. Build living knowledge graphs that evolve with your business. Surface insights through natural language queries.
Turn scattered information into actionable knowledge
Find relevant information instantly through natural language queries. Surface connections across siloed data sources automatically.
AI agents automatically identify people, organizations, locations, events, and relationships from documents with 90%+ accuracy.
Deploy your first knowledge graph in 3 weeks. Start with pilot data sources, prove value, then scale across the organization.
AI agents that understand context, relationships, and time
AI agents automatically identify and extract entities from unstructured text—people, organizations, products, locations, dates, and custom domain entities. Extract structured data from emails, documents, chat logs, and reports without manual tagging.
Automatically detect relationships between entities—who reports to whom, which products belong to which categories, how projects connect to customers. Build rich semantic networks that reveal hidden connections across your organization's knowledge.
Knowledge graphs with time awareness. Track how entities and relationships evolve—when did someone join a company? When was a product discontinued? Query knowledge at specific points in time or understand how information changed over periods.
Unify knowledge from documents, databases, APIs, emails, Slack, Confluence, SharePoint, and custom sources. AI agents merge entities across systems, resolve duplicates, and maintain consistent identifiers creating a unified knowledge layer.
Ask questions in plain English. "Who worked with Sarah on the Phoenix project last quarter?" AI translates natural language to graph queries, retrieves connected entities, and synthesizes answers with supporting evidence and confidence scores.
Knowledge graphs stay current automatically. As new documents arrive or data changes, AI agents extract new entities, update relationships, and deprecate outdated information. Graph evolves continuously without manual curation.
Transform how your organization discovers and uses knowledge
Build dynamic org charts that update automatically. Track who has expertise in specific domains, which teams worked on which projects, and surface the right expert for any question based on their experience and current work.
Create comprehensive customer knowledge graphs—purchase history, interactions, support tickets, product usage, relationships with account teams. Surface insights like "customers who bought X also had issues with Y" automatically.
Extract requirements from regulations, map them to controls and evidence, track compliance status over time. Query "show all controls related to GDPR Article 32 and their current status" with full temporal history.
Automatically map relationships between APIs, services, databases, and teams. Understand dependencies, identify impacted systems for changes, and surface relevant documentation based on what you're working on.
Traditional knowledge graph projects take 6-12 months and require specialized graph database expertise. Strongly.AI delivers production knowledge graphs in weeks.
Typical enterprise deployment
Transform unstructured data into connected, queryable knowledge in weeks