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Liquid AI

Liquid AI develops Liquid Foundation Models (LFMs) based on continuous dynamical systems and adaptive neural network architectures originating from MIT CSAIL research. Designed as compute-efficient alternatives to traditional transformer models, LFMs process sequential multimodal streams—including text, audio, and sensor data—with minimal memory overhead across constrained hardware, edge devices, and enterprise hardware environments.

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Momentum
6Hooshware signal
Hype
42.8Hooshware signal
Reality
88.9Hooshware signal
Evidence confidence
98%Profile completeness signal

Momentum reflects recent attention and activity. Hype and Reality are calculated from recorded company evidence and recent activity.

6Momentum
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23News · 30d
9Social · 30d
2023Founded

Company intelligence

About Liquid AI

Liquid AI develops Liquid Foundation Models (LFMs) based on continuous dynamical systems and adaptive neural network architectures originating from MIT CSAIL research. Designed as compute-efficient alternatives to traditional transformer models, LFMs process sequential multimodal streams—including text, audio, and sensor data—with minimal memory overhead across constrained hardware, edge devices, and enterprise hardware environments.

Recorded facts

Company profile

Organization type
Efficient Foundation Models
Headquarters
Boston, MA, USA
Founded
2023-01-01
Founders
Ramin Hasani, Mathias Lechner, Alexander Amini, Daniela L. Rus
Last verified
2026-09-02
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