optiml – The control layer for production AI workflows

Summary: optiml enables teams to deploy multi-step AI workflows behind a single endpoint, integrating text, image, voice, and vision models from nine providers. It offers built-in versioning, experiments, eval gates, streaming, and automatic rollback to improve reliability and flexibility in production AI.

What it does

optiml consolidates multi-step AI workflows, provider routing, evaluation, and fallback logic into one platform, supporting various data types and providers with features like version control and safe deployment.

Who it's for

It is designed for teams building production AI applications requiring complex workflows and provider flexibility.

Why it matters

It reduces the need for custom glue code by centralizing AI workflow management, improving deployment safety and operational efficiency.