Market Opportunity
Choosing Custom vs SaaS for Internal AI Knowledge Bases - decision guide targets a $6.0B = 200,000 mid-market and enterprise companies worldwide x $30,000 ACV average for company-wide AI knowledge base and integrations total addressable market with medium saturation and a year-over-year growth rate of 20-35% due to AI adoption and knowledge automation.
Key trends driving demand: LLM commoditization -- cheaper, higher-quality models and APIs accelerate integration of AI into internal tooling; Vector search adoption -- vector DBs and embedding pipelines make semantic retrieval practical at scale; Enterprise data governance -- stricter data residency and audit requirements push hybrid or self-hosted deployments; Daily knowledge workflows -- employees query KBs multiple times per day, increasing demand for freshness and reliability.
Key competitors include Glean, Guru, Atlassian Confluence + Atlassian/third-party AI, Custom build using OpenAI + vector DB (Pinecone, Weaviate, Milvus) + search stack, Notion + Notion AI.