Inference infrastructure for adaptive AI workloads

OpenMesh is an AI workflow optimization platform that helps users run complex tasks more efficiently by automatically breaking them into steps and routing each step to the best model for the job. Instead of relying on a single model for an entire workflow, OpenMesh evaluates the quality, speed, and cost requirements of each task and selects the most suitable model across research, coding, web search, summarization, structured extraction, and more. The platform also provides evaluation, monitoring, and long-run observability tools so teams can understand how their workflows perform over time, reduce cost, improve reliability, and continuously optimize their AI systems.