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Liquid deploys SLMs where they win: on-device, multimodal, and designed for your unique apps, data and hardware.
Consumer device makers face three main on-device AI gaps: powerful NPUs are underused due to fragmented hardware and tooling, OS-level assistants are taking control of the user experience and data, and most AI features stop at basic text instead of using sensors, audio, and context—leaving device experiences shallow and hard to differentiate.
One size doesn’t fit all. We work directly with your team to design, build and deploy the solution that’s right for your hardware, use case and data. So you get powerful, fast, efficient AI fit for your business.
We customize AI to your NPU and CPU, RAM, and power envelope—from AI PCs to smartphones and smart vacuums—so you can ship fast, private features like power summarization, offline assistants, and smart notifications without new silicon.
Liquid-tailored AI runs on-device and calls your APIs: opening apps, changing settings, orchestrating device features, and handing off to cloud LLMs only for complex reasoning, so your brand, not a third party, defines the assistant’s behavior and voice.
One AI family for text, audio, and vision powers laptop productivity, phone and watch assistants, and smart home/robot behaviors, listening, seeing, and acting consistently, whether it’s summarizing a document, understanding a spoken command, or reacting to what a camera sees.
