OpenMesh
Research for the next generation of agentic inference
Product-driven research, research-driven product
We believe the next wave of AI progress will not come only from stronger models. It will also come from better systems around those models: how inference is deployed, how tasks are routed, how outputs are grounded in external information, and how performance is evaluated in production. OpenMesh is built around that belief.
Our approach is to treat product and research as mutually reinforcing. Product usage exposes real constraints, real failure modes, and real performance tradeoffs. Research helps us turn those observations into better architectures, better workflows, and more reliable systems.
A lab for production AI systems
OpenMesh is not a pure research lab disconnected from real use, and it is not a pure product company that ignores deeper systems questions. We are building at the intersection of both. Our goal is to create infrastructure that is useful in production while also advancing how people think about inference, orchestration, grounding, and evaluation.
Inference routing
How tasks should be allocated across models, providers, and execution paths based on cost, latency, and quality.
Grounded inference
How AI systems should retrieve, use, and verify live external information as part of production workflows.
Harness engineering
How control layers around models should manage routing, memory, tools, evaluation, and execution reliability in real systems.
Evaluation systems
How to measure quality, groundedness, latency, cost efficiency, and workflow success in agentic inference.
Agentic infrastructure
How deployment, orchestration, grounding, and evaluation should work together as one coordinated platform.
Interested in researching with us?
We are interested in speaking with researchers, engineers, and early partners who care about the future of agentic inference systems.