Liquid AI

Liquid AI

Liquid AI

Liquid neural networks for efficient AI, compact, energy-efficient models from MIT research.

2023Active71Cambridge, United States

About

Liquid AI, founded by MIT CSAIL researchers including Daniela Rus (CSAIL Director), Ramin Hasani, Mathias Lechner, Alexander Amini. Liquid neural networks achieve strong performance with millions vs billions of parameters. Emerged from stealth Dec 2023 with $46.6M seed. Teams look it up for Artificial Intelligence, Foundation Models, Efficient ML.

Public companies they compete with
GOOGL
Google · Gemini

Liquid AI's efficient, device-native foundation models compete with larger models like Google's Gemini, particularly for edge AI applications and scenarios requiring lower latency and memory.

MSFT
Microsoft · Azure AI

Liquid AI's focus on efficient, on-device AI models provides an alternative to cloud-based AI services like Microsoft Azure AI, especially for businesses with data sovereignty or offline environment requirements.

Who they would sell to
BMW

BMW, as an automotive manufacturer, could utilize Liquid AI's efficient and device-native foundation models for autonomous driving systems and in-car AI applications, where low latency and on-device processing are critical.

Automotive
Samsung

Samsung, a major consumer electronics company, could integrate Liquid AI's compact and energy-efficient models into smartphones, wearables, and home appliances to enable advanced AI features directly on devices.

Consumer Electronics
Lockheed Martin

Lockheed Martin, operating in aerospace and defense, could leverage Liquid AI's models for applications in connectivity-limited environments like satellites and for national security use cases requiring data sovereignty and on-device proces

Aerospace and Defense
JPMorgan Chase

JPMorgan Chase could use Liquid AI's technology for financial fraud detection and other latency-critical applications where sensitive data needs to be processed on-device to meet privacy and regulatory requirements.

Financial Services
Siemens Healthineers

Siemens Healthineers could implement Liquid AI's efficient models for medical imaging analysis and on-device AI in healthcare equipment, addressing privacy concerns and enabling faster insights without relying on cloud infrastructure.

Healthcare Technology

Buyer fit inferred by StartupHub from what Liquid AI sells and public signals about each company. Only rows badged "already a customer" are confirmed relationships.

Scores
Measured, not editorial
Ahrefs DR
73/100

Strength of the site’s backlink profile, on Ahrefs’ 0-100 Domain Rating scale. Licensed third-party data, not our opinion.

Agent Readiness
48/100

How well an AI agent can read and use this site: structured data, clean markup, and whether key facts are reachable without running JavaScript. We scan the live site.

Site Speed
51/100

Google PageSpeed mobile performance for the company’s own site. Measured by Google, not by us.

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