Location
Headquarters: Cambridge, Massachusetts, United States, North America
Region: Massachusetts
Country: US
Continent: North America
About
Liquid AI develops highly efficient, general-purpose artificial intelligence models designed for real-world deployment across edge devices and cloud environments. The company emphasizes ultra-efficient multimodal Liquid Foundation Models (LFMs) that run on CPUs, GPUs, and NPUs, delivering privacy-preserving, low-latency, and secure AI for diverse applications. Their offerings include on-device AI capabilities with LEAP for customization and deployment, and Apollo for mobile AI experiences, targeting industries such as automotive, ecommerce, finance, and healthcare. Headquartered in Cambridge, Massachusetts, Liquid AI focuses on end-to-end AI solutions that can operate across devices and edge-to-cloud configurations.
Liquid AI develops efficient, general-purpose artificial intelligence models known as Liquid Foundation Models (LFMs) for deployment on edge devices and cloud environments. The company provides on-device AI capabilities and domain-specific solutions targeting industries such as automotive, finance, and healthcare. Its technology emphasizes energy-efficient architectures that operate across CPUs, G
Liquid AI, Inc.
2023
for_profit
active
Industries
Primary Industry: Business Services
Categories
Funding & Financials
Series A
287600000
under-1m
private
Investors
Founders
Alexander Amini
Daniela Rus
Mathias Lechner
Ramin Hasani
Leadership
Technology Stack
Products
Liquid Foundation Models (LFMs): A suite of AI models using liquid neural networks designed for efficient processing of complex, sequential, and multimodal data across various hardware environments.
LFM-1.3B: A small language foundation model optimized for embedded devices and narrow use cases, supporting fine-tuning.
LFM-3B: A mid-sized language foundation model for smartphones, balancing power and efficiency with fine-tuning capabilities.
LFM-7B: A high-performance language foundation model optimized for laptops and on-premise deployment with multilingual chat capabilities and fine-tuning support.
LFM-40B (A12B): An enterprise-scale language foundation model designed for high-throughput AI tasks on cloud and on-premise GPU deployments, optimized for zero-shot accuracy.
BioLFM: A specialized Liquid Foundation Model for biotech applications including protein engineering, molecular modeling, and drug discovery.
Funding rounds
Series A · $250M · (2024-12-13) · Lead: AMD Ventures
Seed · $37.5M · (2023-12-01) · Lead: OSS Capital L.P.,Stephen Pagliuca,The Pags Group
Seed · $5.6M · (2023-05-05) · Lead: OSS Capital L.P.