Cut LLM token costs by pruning irrelevant context dynamically

Cut LLM token costs by pruning irrelevant context dynamically targets a $6.0B = 2M software teams x $3K ACV (tooling + cost-savings subscriptions per year) total addressable market with medium saturation and a year-over-year growth rate of 25-35% = growth of AI-assisted developer tooling and cloud LLM spend.

Key trends driving demand: LLM adoption in developer workflows -- more teams use assistants and RAG, increasing token spend and the need to optimize; Rise of retrieval-augmented workflows -- separation of retrieval vs. model cost makes pruning and selection valuable; Tooling integration into IDEs and CI/CD -- developers expect seamless plugins that run locally or in cloud, enabling lightweight middlewares; Shift to usage-based pricing of LLMs -- makes token-efficiency economically meaningful for orgs.