AI-Powered Knowledge Graphs

Organizations possess vast amounts of valuable but unstructured data in documents, websites, and internal wikis. The long-held goal of a structured 'semantic web' failed because manually tagging and organizing this information is prohibitively expensive and doesn't scale, leaving data siloed and difficult to leverage for automated processes or accurate search.

An AI-driven platform that automatically crawls unstructured content to build a structured knowledge graph. This service uses LLMs to infer entities, relationships, and context, creating a reliable, machine-readable data layer. This enables powerful internal search, provides trustworthy data to other AI systems to prevent hallucinations, and unlocks the value hidden in disorganized information.