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Liquid AI is a cutting-edge platform developed by Liquid AI, Inc. that specializes in building efficient, general-purpose foundation AI models designed to operate natively on devices outside traditional data centers. It addresses challenges related to latency, privacy, and hardware constraints by enabling advanced intelligence on edge devices such as wearables, smartphones, laptops, cars, and robotics. The platform offers a range of lightweight, customizable foundation models (LFMs) that run efficiently on GPUs, CPUs, or NPUs, making AI accessible and performant across diverse real-world applications. Liquid AI supports enterprises, startups, and developers by providing tailored AI solutions, developer tools, and a community to build, specialize, and deploy AI models at scale. Its core capabilities include device-aware model architecture search, multi-modal AI models, and hybrid deployment options, fitting workflows that require secure, low-latency, and scalable AI integration.
4.7/5
High, efficient, and adaptable
Professional and developer-focused
To deliver efficient, scalable, and privacy-preserving AI models optimized for edge and hybrid deployments.
Compatible with a wide range of hardware platforms including GPUs, CPUs, NPUs, and integrates into enterprise, startup, and developer workflows.
Custom enterprise pricing with startup programs and developer access options
Features with the highest value for users are highlighted here.
Native device foundation models
Low-latency AI inference
Privacy-focused architecture
Cross-device compatibility
Customizable model sizes
Multi-modal AI capabilities
Efficient on-device deployment
Developer tools and community support
Enterprise AI teams
Startup founders
AI developers
Robotics engineers
Automotive AI specialists
Healthcare researchers
E-commerce teams
Consumer electronics developers
Data scientists
AI educators
Developer Access
Startup Program
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
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