The foundation of intelligence isn't search โ it's pre-compiled structured knowledge
Transform scattered enterprise information into a continuously auto-compiled knowledge wiki. Every fact is integrated, deduplicated, trust-scored by source, and cross-linked to related entries. Unlike RAG systems that re-query raw documents at runtime, our system lets agents draw from structured, current intelligence โ not a keyword search of document fragments.
AI continuously ingests new sources and compiles them into structured wiki pages. No manual curation required โ the knowledge base stays current automatically.
First-hand documents, secondary summaries, and third-party content are scored separately. Every knowledge item carries a trust rating so agents know how much to rely on it.
Entries are automatically cross-linked into a structured knowledge network. Agents navigate relationships between concepts, not just isolated keyword matches.
Fully self-hosted with designed to keep data within your infrastructure boundary. Fine-grained RBAC and complete audit trails for regulatory and security requirements.
Connect all enterprise sources preserving access controls
Remove noise, deduplicate, auto-score source trust
LLM compiles data into a structured wiki with cross-references
Semantic, keyword, and graph search with trust scores
Agent executes tasks using the compiled knowledge base
Monitor agent output quality and identify knowledge gaps
Give AI agents accurate, structured answers on product, process, and compliance questions without re-querying raw documents on every request
Onboarding assistants that answer new-hire questions from a compiled, consistently reliable knowledge base rather than guessing from scattered files
Legal and compliance teams who need the knowledge base to track regulatory changes and automatically flag entries whose trust scores have degraded
Serve as a business semantics context layer for Data Agents โ when agents query data, automatically supply metric definitions, business glossaries, and calculation rules so generated SQL aligns with actual business meaning, not column name guesses
Book a personalised demo with our product team and explore how it fits your enterprise environment.
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