NOAN launches a centralized fact layer providing verified, versioned business truth to AI models and agents via API and MCP.
NOAN provides a dedicated fact layer designed to solve inconsistencies in how AI agents interpret organizational documentation. By transforming approved business knowledge—including pricing, company policies, positioning, products, and customer details—into a single versioned and verified source of truth, NOAN eliminates the ambiguity of raw document retrieval. Agents, models, and custom applications can query this structured knowledge base directly through a unified API or the Model Context Protocol (MCP), ensuring all enterprise AI tools deliver uniform, reliable, and governance-approved information.
Standard RAG pipelines frequently fail when conflicting or outdated documents lead different agents to hallucinate contradictory answers; an explicit fact layer is the necessary evolution for enterprise agent reliability.
- –Standardizes truth across heterogeneous models and multi-agent workflows without requiring fine-tuning.
- –Native Model Context Protocol (MCP) and API support makes integration seamless for modern agent frameworks.
- –Replaces raw text chunking with version-controlled, verified facts to mitigate compliance, legal, and pricing discrepancies.
DISCOVERED
1h ago
2026-09-24
PUBLISHED
6h ago
2026-09-24
RELEVANCE
AUTHOR
[REDACTED]
