Enterprise knowledge management is undergoing a fundamental transformation. The convergence of large language models, retrieval-augmented generation (RAG), and semantic search has created a new category: AI Knowledge Intelligence — systems that don't just store information but actively understand, connect, and surface relevant knowledge across an organization's entire digital footprint.
The market opportunity is massive: $28.2B in 2022, projected to reach $74.51B by 2031 at 11.4% CAGR. The catalyst? Enterprises now average 100+ SaaS applications, each creating siloed knowledge that existing tools cannot unify. Glean's meteoric rise to $7.25B valuation and $250M ARR demonstrates the demand. But significant gaps remain — particularly for mid-market enterprises, non-English workforces, and industries with specialized knowledge requirements.
Applying Zeroth Principles: Before asking "how do we search better?", we must question the axiom that knowledge should be searched. The future isn't better search — it's knowledge that finds you, contextually surfaced at the moment of need without explicit queries.
