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optiml is the control layer for production AI, letting teams deploy multi-step workflows behind a single endpoint instead of stitching together providers, routing logic, evals, and fallback infrastructure by hand. With support for text, image, voice, and vision across nine providers, optiml helps companies ship faster, stay provider and model-flexible, save money, and improve reliability with built-in versioning, experiments, streaming, eval gates, and automatic rollback.
optimlThe control layer for production AI workflows.
Michael Martinezleft a comment
I built OptiML because shipping AI in production still means too much glue code. Calling one model is easy, but real products need multi-step workflows, provider flexibility, evals, fallbacks, versioning, and safe deployment. I wanted all of that to live behind one endpoint instead of being hand-wired across different services and scripts. What started as model routing evolved into a way to...
optimlThe control layer for production AI workflows.