Semantic Search
Ask questions in natural language and get answers from your documents and data, with the page each answer came from.
Knowledge AI
Unify scattered knowledge across documents, databases, and team expertise into an intelligent system that answers questions and automates insights.
Knowledge AI · 5 agents
A Knowledge Supervisor routes each question through five agents — Source Connector, Context Retriever, Graph Builder, Response Generator and Quality Validator — so every answer draws on all your connected sources.
Capabilities
AI agents that understand context, relationships, and intent across all your knowledge sources.
Ask questions in natural language and get answers from your documents and data, with the page each answer came from.
AI understands domain-specific terminology, acronyms, and organizational context.
Summarize long documents and suggest the questions worth asking next.
AI agents automatically generate and maintain documentation from code, conversations, and workflows.
Build interconnected knowledge maps that reveal hidden relationships and insights.
Automatically index new information from Slack, emails, wikis, and databases as it's created.
Capabilities marked Roadmap are part of the Enterprise Knowledge Integration architecture and in development.
Input Question + connected sources Output Checked, sourced answer
Outcomes
80% faster information retrieval
Eliminate knowledge silos across teams
Onboard new employees 3x faster
Automated compliance documentation
Capture institutional knowledge
AI-powered decision support
InsightMesh adds plain-English questions over your data and documents, with semantic search and page-level citations.
Industries
For enterprise IT, banking, healthcare and supply chain teams whose knowledge is scattered across systems.
Show us where knowledge lives today — documents, files and databases. We'll show you how InsightMesh-powered agents make it answerable in plain English.