Make team chat platforms agent-native by adding persistent, low-latency agent runtimes

Make team chat platforms agent-native by adding persistent, low-latency agent runtimes targets a $6.0B = 2M businesses × $3,000 ACV (annual agent-runtime, observability and connector fees per business) total addressable market with medium saturation and a year-over-year growth rate of 22% YoY (enterprise AI and automation adoption; source: Gartner/IDC enterprise AI adoption forecasts, 2024).

Key trends driving demand: Generative AI adoption — enterprises are moving from pilots to production which increases demand for agent orchestration and runtime reliability.; Shift to developer-led tooling — developer teams prefer SDKs and APIs over no-code when control and observability are required, creating openings for developer-first agent runtimes.; Cost-sensitivity on LLM usage — organizations want orchestration layers that reduce API call volume and route tasks efficiently, favoring middleware that optimizes model usage.; Platform gaps — core chat platforms prioritize human UX and have not released agent-specific primitives, leaving a product gap third parties can fill..