Efficient foundation models built for real-world, on-device AI
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Liquid AI develops next-generation foundation models called Liquid Foundation Models (LFMs), engineered for speed, efficiency, and deployment beyond the cloud. Unlike traditional transformer-based AI, its models are designed from first principles to operate in compute-constrained environments such as edge devices and embedded systems. The platform supports multimodal data processing—including text, audio, video, and time-series—while maintaining a small memory footprint and real-time responsiveness. Liquid AI also provides tools like LEAP for model customization and deployment, along with enterprise solutions tailored to specific industries. With a strong focus on privacy, latency, and scalability, the company enables AI to run directly where data is generated.
AI Engineers, Enterprise IT Teams, Embedded Systems Developers, Robotics Teams, Automotive & IoT Companies
Massachusetts, USA
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