Liquid AI
Build efficient general-purpose AI at every scale.
Technology
How Liquid AI’s technology works — architecture, AI models, and technical capabilities.
What are Liquid AI's main features?
Key features of Liquid AI include device-native foundation models, rapid customization capabilities, and support for various deployment environments such as mobile, edge, and cloud. Models are designed for low latency and high efficiency, ensuring optimal performance across devices.
What type of AI does Liquid AI use?
Liquid AI utilizes Liquid Neural Networks, which are designed to operate efficiently on-device. This type of AI focuses on delivering high performance with minimal compute requirements, making it suitable for real-world applications across various industries.
How does Liquid AI work?
Liquid AI operates by building foundation models that run natively on devices, including phones, cars, and robots. These models are designed for efficient inference, enabling peak performance while maintaining low compute requirements, allowing for rapid customization and deployment in various environments.
What technology powers Liquid AI?
Liquid AI is powered by Liquid Neural Networks, a proprietary architecture that integrates dynamical systems and signal processing. This technology allows for efficient, multimodal architectures capable of running on various hardware, ensuring low latency and high performance.
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