AI memory causes context pollution — selective, auditable context controls

AI memory causes context pollution — selective, auditable context controls targets a $6.0B = 1.5M developer and product teams × $4K ACV (context-control + governance add-on per org) total addressable market with medium saturation and a year-over-year growth rate of 25% YoY growth for enterprise AI tooling — Source: McKinsey/IDC 2024 estimates on AI adoption and productivity tools.

Key trends driving demand: Teams are moving from experimentation to production with LLMs, creating demand for predictable, auditable behavior.; Embedding-based RAG architectures are mainstream, which creates a natural interception point for context control middleware.; Regulatory and security scrutiny of model outputs is increasing, forcing companies to prioritize provenance and governance..