Repeat LLM setup pain — centralized config, templates, and orchestration

Repeat LLM setup pain — centralized config, templates, and orchestration targets a $40.0B = 200,000 large+mid enterprises x $200K/year on AI model orchestration, governance, and developer tooling total addressable market with medium saturation and a year-over-year growth rate of 35% (developer AI tooling & MLOps combined).

Key trends driving demand: Multi-model deployment -- Teams use multiple LLM providers and models, creating repeated manual config and orchestration work.; Agentization -- More workflows are expressed as agents that require composable tooling for routing, safety checks, and recovery.; Infrastructure commoditization -- Hosted inference and open weights lower entry barriers, shifting value into orchestration and governance..