Intelligent products deserve intelligence that lives inside them — fast, private, and always available. Our platform makes that possible, enabling your models to run directly on resource-constrained devices without disrupting system performance or requiring infrastructure changes.
We’re redefining where AI lives — moving it from cloud infrastructure into the products and systems that operate in the real world. Our mission is to make intelligence local, autonomous, and production-ready — even under constraint.
We deliver a runtime built to support that shift: optimized for embedded environments, safe for critical systems, and simple for teams to adopt. With us, developers stay in control — of the model, the experience, and the outcome.
We believe powerful AI should feel seamless — and fit the systems it serves.
Follow new releases, engineering breakthroughs, and examples of Local AI in action — all built to run closer to where your product lives.
Client-Side Inference, Reimagined: Llama 4 Scout Goes Local Deploying large AI models across devices is hard. Llama 4 Scout, which we showcase here, typically wouldn’t fit on client devices. But with...
GPUs are a cornerstone of modern AI workloads, driving both large-scale model training and real-time inference applications. However, achieving full utilization of these powerful accelerators remains...
We are thrilled to announce that VentureBeat has covered our latest $8M funding round, highlighting our mission to redefine AI inference at the edge. OpenInfer is building the first-ever Inference OS,...