OpenMesh
Inference infrastructure for adaptive AI workloads
OpenMesh gives teams one platform to deploy, route, ground, and evaluate agentic inference
What OpenMesh is
OpenMesh is a platform for running production AI workloads that need more than raw model access. It combines deployment, model routing, web grounding, and evaluation into a unified system. The result is a platform designed not just to serve models, but to optimize how inference actually happens.
A control plane for inference
OpenMesh is built as an inference control layer. Instead of treating deployment, routing, retrieval, and evaluation as separate products, OpenMesh brings them together so teams can manage inference as a coordinated workflow.
Deploy
Run inference through a unified serving layer. OpenMesh abstracts away fragmented infrastructure so teams can deploy workloads with better efficiency, lower cost, and stronger reliability.
Route
Send each task to the right model or execution path. OpenMesh routes workflows based on cost, latency, and expected performance instead of forcing one model to handle everything.
Ground
Connect workflows to live web information when external context matters. OpenMesh helps systems use fresh, verifiable information instead of relying only on static model knowledge.
Evaluate
Measure how workflows perform in production. OpenMesh tracks quality, cost, latency, and reliability so teams can improve systems with real feedback over time.
What OpenMesh helps optimize
OpenMesh helps teams coordinate essential decisions within one platform