Reduce AI agent latency with caching, routing and model optimization

Reduce AI agent latency with caching, routing and model optimization targets a $9.0B = 1.5M businesses × $6K ACV total addressable market with medium saturation and a year-over-year growth rate of 30% YoY (Gartner 2024 AI in customer service / industry synthesis).

Key trends driving demand: Customers expect near-instant responses — faster perceived reply times materially increase conversion and retention for online businesses.; Multi-model ecosystems and streaming APIs are lowering latency and enabling selective model invocation, which creates a technical opening for orchestration layers.; Rising LLM API costs push companies to optimize when large models are called, creating demand for routing and caching layers that reduce bills without losing quality.; Adoption of AI in support and sales is expanding from enterprise into mid-market and SMBs, increasing the addressable base for optimisation tools..