Manage unreliable LLM agents at scale — runtime ops for autonomous agents

Manage unreliable LLM agents at scale — runtime ops for autonomous agents targets a $30.0B = 300,000 development-centric organizations x $100K ACV total addressable market with medium saturation and a year-over-year growth rate of 30%+ (driven by AI adoption and observability expansion).

Key trends driving demand: LLM & agent proliferation -- more production agent deployments create demand for runtime controls and observability.; Cloud-native infra standardization -- Kubernetes/serverless platforms make it practical to inject runtime agents and telemetry.; Observability convergence -- customers expect trace/metric/log style tooling for non-deterministic AI workloads.; Composable AI stacks -- growth of modular model APIs and vector DBs increases need for orchestration across heterogeneous components..