Device-native foundation models.

Advanced intelligence for processors outside of data centers. Built for the latency, privacy, and hardware constraints of the physical world.

Deployments

Phones, laptops, cars, space, e-commerce, financial services, bio, defence

Runtimes

llama.cpp, MLX, ONNX, CoreML, SGLang, vLLM

& more

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Press Release

Liquid AI and Mercedes-Benz partner to scale embedded in-car intelligence

Achieve peak performance by fine-tuning LFMs for your use case.

The power of model customization directly in your hands.

LFMs are designed for rapid customization to achieve peak performance for specified use cases at a footprint small enough to run locally on your chosen hardware. Our full-stack solution includes architecture, optimization, and deployment engines to accelerate the path from prototype to product.

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