Context engineering platform for AI apps - manage prompts, retrieval and memory

Context engineering platform for AI apps - manage prompts, retrieval and memory targets a $6.0B = 1,000,000 developer teams x $6,000 ACV total addressable market with medium saturation and a year-over-year growth rate of 30-45% annual growth in AI developer tooling and vector DB usage.

Key trends driving demand: RAG and vector search adoption -- more apps use retrieval augmentation which increases need for managed context and vector lifecycles; Shift to production AI features -- monthly deployment cadence for AI features creates recurring ops and observability needs; Proliferation of LLMs and multimodal models -- varying model behavior increases the need to manage system messages, chains, and context conditioning; Rise of developer-first AI platforms -- teams prefer SDKs and hosted services that integrate with CI/CD and logging.