Liquid AI
We build efficient general-purpose AI at every scale.
HQUS
Team Size104
Open Jobs44
Total Funding-
Latest FundraiseUnknown
We build efficient general-purpose AI at every scale.
Headquarters / Origin: MIT CSAIL spinoff based in Boston/Cambridge
Product focus: Efficient, low-latency foundation models (LFMs) and edge deployment platform (LEAP)
Notable funding: Raised $37.5M seed (Dec 2023) and $250M Series A (Dec 2024, led by AMD)
Founding team: Ramin Hasani, Mathias Lechner, Alexander Amini, Daniela Rus
Efficiency and deployment of foundation models for on-device and low-latency environments
2023
Artificial intelligence / Machine learning
$37.5M
Announced December 6, 2023
$250M
Announced December 13, 2024; reporting cited a post-money valuation of over $2 billion
“Mix of VC, corporate investors, and notable angels including OSS Capital, PagsGroup, Breyer Capital, Samsung Next, Bold Capital Partners, and individual angels such as Tom Preston-Werner and Naval Ravikant”
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Work With Us At Liquid, we’re not just building AI models—we’re redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can’t: on-device, at the edge, under real-time constraints. We’re not iterating on old ideas—we’re architecting what comes next.
We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments—your work will directly shape the frontier of intelligent systems.
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What You'll Gain
About Liquid AI Spun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started.