Preserve AI chat rationale by surfacing searchable team knowledge

Preserve AI chat rationale by surfacing searchable team knowledge targets a $6.0B = 2M teams × $3K ACV total addressable market with medium saturation and a year-over-year growth rate of 20% YoY enterprise AI and knowledge management adoption (Gartner 2024; industry AI adoption reports).

Key trends driving demand: Multi-LLM usage — teams are using multiple AI chat tools simultaneously, creating fragmented decision provenance and a need to consolidate rationale.; Embedding-based search maturization — vector DBs and cheap embeddings make semantic indexing of chat content cost-effective, enabling practical search across conversations.; Knowledge decay awareness — distributed remote teams are experiencing faster knowledge loss, increasing demand for tools that capture institutional reasoning and decisions.; Enterprise governance pressure — companies want audit trails for AI-influenced decisions, which drives interest in solutions that attribute and store rationale..