Stop marrying one LLM — own your team's knowledge layer for portability

Stop marrying one LLM — own your team's knowledge layer for portability targets a $60.0B = 20M knowledge-worker teams x $3K ACV total addressable market with medium saturation and a year-over-year growth rate of 35% CAGR in enterprise AI tooling and knowledge-management spend.

Key trends driving demand: LLM fragmentation -- multiple competing models (open-source + closed) drive demand for model-agnostic context layers; RAG & vector DB adoption -- externalized retrieval of context is becoming standard for production LLM apps; Enterprise data sovereignty -- companies demand ownership and auditability of prompts/context for compliance and security; API-first LLM ecosystems -- standard APIs and model hubs enable rapid integration of a knowledge layer across models.