Stop building custom model wrappers - hosted inference endpoints

Stop building custom model wrappers - hosted inference endpoints targets a $6.0B = 200k organizations running production ML x $30k ACV. Rationale: enterprises and mid-market companies pay for hosted model infra, SLA, and MLOps integrations. total addressable market with medium saturation and a year-over-year growth rate of 20-30% expected growth for model deployment platforms as more teams put ML in production.

Key trends driving demand: Model-centric workflows -- teams are iterating on many small models and need fast, repeatable deployment paths.; Standardized model formats -- ONNX, TorchScript, and common serialization make auto-wrapping feasible.; Managed inference adoption -- providers like Hugging Face and Replicate normalize hosted endpoints, raising buyer expectations.; Developer self-serve buying -- engineering teams prefer low-friction signup and pay-as-you-go endpoints..