Liquid AI

Liquid AI is a foundation model company spun out of MIT that builds high-performance, efficient AI systems purpose-built for real-world environments. Their Liquid Foundation Models (LFMs) are architected from the ground up for on-device intelligence, delivering advanced capabilities directly to smartphones, laptops, vehicles, and embedded systems where compute is limited. Taking a first-principles approach rooted in dynamical systems, signal processing, and numerical linear algebra, Liquid designs models with unmatched structural control and efficiency. The LFM2 family supports text, audio, vision-language, and multimodal data across a range of parameter sizes.

• Liquid Foundation Models (LFMs): Purpose-built for efficiency and speed, LFMs run on GPUs, CPUs, and NPUs across wearables, robotics, phones, laptops, and cars — download via Hugging Face or LEAP.
• LEAP Platform: A developer platform for building, customizing, and deploying on-device AI in a single workflow — get started at leap.liquid.ai.
• Apollo App: A free private on-device AI chat app available on iOS and Android, letting users vibe-check small language models directly on their phone.
• Multimodal Support: LFM2 family covers text, audio (LFM2-Audio), vision-language (LFM2-VL), and retrieval (LFM2-ColBERT) modalities.
• Enterprise Solutions: Full-scale custom AI solutions tailored to business needs, hardware, and data — including white-glove support for designing and deploying end-to-end intelligence solutions.
• Startup Program: Selected startups gain access to the full tech stack and direct guidance from Liquid's engineering and product teams.
• Open Source Access: Core LFMs are free to use self-service via Hugging Face and LEAP, with commercial use available for companies under $10M in annual revenue.
• Edge & Hybrid Deployment: Models optimized for on-device, cloud, or hybrid deployment — enabling privacy-, low-latency, and security-critical applications everywhere.