Platform to design, deploy, manage, observe, and scale coordinated AI agent workflows

Platform to design, deploy, manage, observe, and scale coordinated AI agent workflows targets a $8.0B = 200k developer teams × $40K ACV total addressable market with medium saturation and a year-over-year growth rate of 40% YoY (estimated based on generative AI platform spend and cloud AI services growth).

Key trends driving demand: Agent patterns — developers increasingly coordinate multiple specialized models/tools to solve tasks, creating demand for orchestration and runtime management.; Cloud & inference commodification — falling inference costs and elastic cloud capacity make production multi-agent deployments economically feasible.; Observability demand — enterprises require audit trails, explainability, and performance telemetry for AI interactions, driving demand for dedicated monitoring tools for agent conversations.; Model diversity — teams use multiple model providers and private fine-tuned models, creating fragmentation that an orchestration layer can unify..