Capture AI chat rationale into searchable team knowledge base

Capture AI chat rationale into searchable team knowledge base targets a $6.0B = 500K teams/companies globally × $12K ACV (annualized value for teams that purchase knowledge+decision tooling) total addressable market with medium saturation and a year-over-year growth rate of 15% YoY (estimated growth for enterprise search/knowledge management categories driven by analyst reports from Gartner/IDC on enterprise AI/knowledge tools).

Key trends driving demand: Chat-first workflows — Teams are shifting decisions into AI-driven chat channels, creating an unstructured store of reasoning that needs indexing and retrieval.; Cheap vector search and embeddings — Improvements and price drops in embedding APIs and managed vector DBs make large-scale semantic indexing affordable for SMBs.; Auditability & provenance demand — Enterprises and regulated teams increasingly require traceability of decisions made with AI, creating demand for tools that retain model and context metadata.; Cross-tool integration — Organizations use multiple AI vendors simultaneously, creating an opportunity for a unified layer that normalizes and searches conversations across models and platforms..