Dendrite extracts entities, relationships, and structured knowledge from your enterprise tools — turning scattered context into a queryable knowledge graph that makes every LLM smarter.
Critical context lives in Slack threads that expire, Jira tickets nobody reads, Confluence pages last edited in 2022, and the heads of people who might have left. Your AI sees none of it.
Traditional RAG gives your LLM text chunks and hopes for the best. It returns documents about the answer, not the answer itself. Your AI still has to guess what 67 fragments mean.
Dendrite doesn't just find relevant text — it extracts and maintains a living knowledge graph of your organization.
People, teams, services, projects — automatically identified, classified, and tracked across every source.
Who owns what. What depends on what. How teams connect. The organizational graph, made explicit and queryable.
Knowledge evolves. Dendrite tracks when things change — not just what they are, but when ownership shifted and context updated.
Every extracted fact carries a confidence score. Your AI knows what it knows — and what it doesn't.
Point Dendrite at your tools. Agents connect to Slack, Jira, Confluence, and more with read-only access.
Agents systematically crawl channels, tickets, and pages — building a complete picture of your organization's knowledge.
LLM-powered extraction identifies entities, relationships, and facts — building a structured, confidence-scored knowledge graph.
Every LLM in your stack can query the knowledge graph. Structured answers with confidence scores — not document fragments.
We're onboarding design partners who want to give their LLMs real organizational knowledge. If your AI keeps hallucinating about your own company, let's fix that.