Control AI assistant memory to prevent context pollution and personalization bugs

Control AI assistant memory to prevent context pollution and personalization bugs targets a $4.8B = 1.6M teams × $3K ACV total addressable market with medium saturation and a year-over-year growth rate of 30% YoY (estimate for AI developer tools and knowledge worker automation market; source: industry analyst synthesis, 2024).

Key trends driving demand: Model providers are exposing longer context windows and memory primitives, which increases demand for tools that manage that context safely.; Adoption of AI assistants inside developer and product workflows is accelerating, creating a need for reliability and reproducibility of outputs.; Enterprises are beginning to require auditability and access controls for AI features, increasing willingness to buy governance tooling.; Tooling ecosystems (LangChain, LlamaIndex) are knitting together, creating integration points where a focused control plane can add outsized value..