Liquid AI, Inc.
Build state-of-the-art, general-purpose AI systems that are capable, efficient, highly aligned, and trustworthy, with a focus on edge and on-device deployment.
Founding Story
Spun out of MIT CSAIL by four researchers to commercialize 'Liquid Neural Networks' – a new class of biology-inspired, efficient AI models that outperform Transformers in speed and efficiency for sequential data.
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Leadership
Founders
Ramin Hasani
CEO of Liquid AI. Previously a postdoc at MIT CSAIL and PhD from TU Wien. Co-inventor of Liquid Neural Networks.
Mathias Lechner
CTO of Liquid AI. Previously a postdoc at MIT CSAIL and PhD from IST Austria. Expert in robust machine learning.
Alexander Amini
CSO of Liquid AI. PhD from MIT and lead researcher at MIT CSAIL. Specialist in end-to-end learning and autonomous systems.
Daniela Rus
Co-founder. Director of MIT CSAIL and Professor of Electrical Engineering and CS at MIT. World-renowned robotics expert.
Executive Team
Ramin Hasani
Chief Executive Officer
Co-inventor of Liquid Neural Networks; MIT CSAIL researcher.
Mathias Lechner
Chief Technology Officer
MIT CSAIL researcher; expert in robust AI and robotics.
Business Model
Revenue Model
Enterprise licensing, API usage fees, and strategic partnerships. Offers on-premise and edge deployment options.
Pricing Tiers
Full access to AI model search and deployment for developers.
Costs for input and output tokens via API.
Priority support, scaling solutions, and on-premise deployment.
Target Markets
- Enterprise
- Biotechnology & Healthcare
- E-commerce & Retail
- Consumer Electronics
- Automotive & Robotics
- Education
- Drug discovery and pharmaceutical research
- Real-time e-commerce experiences
- Edge robotics and autonomous agents
- Vision-language processing in AR/VR
- Enterprise-grade private AI solutions
- AI-enhanced education
- Shopify
- Insilico Medicine
- Capgemini
- G42
History & Milestones
Launched LFM2-2.6B-MMAI scientific model in partnership with Insilico Medicine.
Released LFM2-24B-A2B for tool-calling agents on consumer hardware.
Released world's fastest open-source small foundation models (LFM2 family).
Launched LEAP (Liquid Edge AI Platform) and Apollo consumer app showcase.
Launched 'Nanos' - tiny foundation models (350M-2.6B) for on-device processing.
