Prevent cross-project AI context bleed via per-project context isolation and orchestration

Prevent cross-project AI context bleed via per-project context isolation and orchestration targets a $36.0B = 12M organizations x $3K ACV (global SMBs + dev orgs adopting AI tooling) total addressable market with medium saturation and a year-over-year growth rate of 25%+ (enterprise AI tooling & vector search combined growth).

Key trends driving demand: Embedding/vector search maturation -- enables fast, semantically-relevant retrieval for scoped project contexts, making isolation practical.; Proliferation of multi-agent/multi-project AI -- more projects per org increases cross-talk risk and need for per-project boundaries.; Enterprise governance and auditability demands -- drives adoption of solutions that prove context provenance and access controls.; Composability of OSS building blocks -- reduces time-to-market for specialized orchestration layers that enforce context rules..