Skip to main content

Liquid AI

Category: AI Infrastructure

Liquid AI develops efficient foundation models using liquid neural networks, enabling high-performance AI deployment on edge devices with minimal computational resources Liquid AI was founded in 2023. The company is led by Ramin Hasani. Based in Boston, United States. Team size: 51-200. Total funding raised: $287.6M. Latest round: Series A. Key investors include ["AMD (lead investor)","Samsung Catalyst Fund","OSS Capital","PagsGroup","Duke Capital Partners"].

Founded
2023
Headquarters
Boston, United States
Team size
51-200
Total funding
$287.6M

Value proposition

Delivers GPT-4o-class performance with 350M-2.6B parameter models that run entirely on-device, offering 3x training efficiency, zero cloud dependencies, and specialized task-specific optimization

Products and solutions

["Liquid Foundation Models (LFMs)","Liquid Nanos (350M-2.6B parameters)","LFM2 On-device Models","LEAP Edge AI Platform","Apollo Mobile App","Custom AI Solutions"]

Unique value

Pioneered liquid neural networks inspired by biological systems and dynamical systems theory, enabling real-time adaptive AI models that maintain high performance with minimal computational resources

Target customer

Enterprises requiring privacy-first, low-latency AI solutions across consumer electronics, automotive, healthcare, finance, and embedded systems

Industries served

["Consumer Electronics","Automotive","Healthcare","Finance","Embedded Systems","Robotics","E-commerce"]

Technology advantage

Non-transformer architecture based on liquid neural networks offers superior efficiency, real-time adaptability, and 3x training efficiency improvement over traditional models while maintaining GPT-4o-class performance on specialized tasks

How they differentiate

Liquid AI differentiates through liquid neural networks architecture, extreme efficiency (350M-2.6B parameters vs competitors' 100B+), on-device deployment capability, real-time adaptability, and specialized task-specific models (Nanos)

Main competitors

["OpenAI (GPT models)","Anthropic (Claude)","Google (Gemini)","Microsoft (Copilot)","Meta (Llama models)"]

Key partnerships

["AMD (strategic partner and lead investor)","Shopify (multi-year partnership for sub-20ms models)","Mercedes-Benz (multi-year partnership for embedded in-car intelligence)","Amazon Web Services (Bedrock marketplace)","Hugging Face (model distribution)","G42 (commercial partnership)","Capgemini (enterprise collaboration)"]

Notable customers

["Shopify (multi-year partnership)","AMD (strategic partnership)","Mercedes-Benz (multi-year partnership for in-car AI)","Various enterprise clients in consumer electronics and automotive sectors"]

Major milestones

["2023: Company founded by MIT CSAIL researchers","December 2024: Closed $250M Series A led by AMD at $2.3B valuation","July 2025: Released LFM2 - world's fastest on-device foundation models","September 2025: Launched Liquid Nanos with GPT-4o-class performance","November 2025: Announced multi-year partnership with Shopify","January 2026: Released LFM2.5 next-generation on-device models","February 2026: Launched LFM2-24B-A2B scaling up LFM2 architecture","April 2026: Announced multi-year partnership with Mercedes-Benz for embedded in-car intelligence"]

Growth metrics

Achieved $13.2M revenue (Nov 2025); expanded team to ~108 employees; launched LFM2, LFM2.5, and LFM2-24B-A2B models; partnership with Shopify for sub-20ms response times; multi-year partnership with Mercedes-Benz for in-car AI

Market positioning

Positioned as the leading edge-AI infrastructure company specializing in ultra-efficient, on-device foundation models for privacy-critical and low-latency applications

Geographic focus

Global with headquarters in Boston, Massachusetts, serving North American, European, and Asian markets through partnerships with AMD, Shopify, and cloud providers

Patents and IP

Proprietary liquid neural network architecture and training methodologies; specific patents not publicly disclosed

About Ramin Hasani

Co-founder and CEO of Liquid AI; previously Principal AI and Machine Learning Scientist at Vanguard Group and Research Affiliate at MIT CSAIL; PhD in Computer Science from Vienna University of Technology (TU Wien)

Official website: