Liquid AI logo

Liquid AIDevelops efficient AI systems using liquid neural networks inspired by C. elegans.

4.5 (6)
Daniel NikulshynReviewed by Daniel Nikulshyn·Updated June 2026
Liquid Neural NetworksResearchEfficient AIBio-InspiredFoundation ModelsEdge AI

Overview

Liquid AI develops efficient AI systems using liquid neural networks inspired by C. elegans. They aim to bring general-purpose AI to every scale, with a focus on efficiency and deployability. Liquid AI offers its Liquid Foundation Models (LFMs), which can be fine-tuned and deployed on various runtimes. Their LEAP SDK allows for rapid customization and deployment of AI models. Their goal is to power intelligent devices and systems in different domains, such as phones, laptops, cars, and even space, while addressing latency, privacy, and hardware constraints. The company has partnered with other organizations, including Mercedes-Benz, to scale embedded intelligence. Liquid AI also explores the frontiers of AI research, publishing open papers on liquid neural networks, state-space models, and new training recipes. Their models are designed to run anywhere, from the edge to the cloud, and are optimized for rapid customization to achieve peak performance for specified use cases.

Key features

  • Liquid Foundation Models (LFMs)
  • LEAP SDK for rapid customization and deployment
  • Fine-tuning of AI models
  • Support for various runtimes
  • Integration with partner organizations

Pricing

Model
Contact for pricing
Category
AI Agent Development Platforms
Rating
4.5 / 5 (6)

Use cases

Efficient On-Device AI Models

Deploy compact liquid neural network models for edge devices where compute, memory, and power are constrained.

Adaptive Time-Series Modeling

Use liquid networks to analyze continuous, dynamic data streams thanks to their architecture inspired by C. elegans neurons.

Research into Bio-Inspired AI

Explore alternative neural architectures beyond traditional transformers for academic and applied AI research.

Pros & Cons

Pros

  • Efficient AI systems
  • Deployable on various runtimes
  • Rapid customization with LEAP SDK
  • Partnerships with organizations like Mercedes-Benz
  • Open research publications

Cons

  • Limited information on specific use cases
  • No clear information on pricing or pricing models

Battle record

Across 1 battle in the Pantheon.

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Reviews

4.5

Average from 6 ratings.

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Ahmed Saleh

Ahmed Saleh

Apr 11, 2026

Years in this space

I've evaluated a lot of these over the years. What stands out here is the integrations — handled better than most — and the value for money is strong. Pricing gets steep at scale is my one real gripe. Worth the time if this is your use case.

MB

Marcus Bell

Apr 5, 2026

Does the job

Pretty happy overall. The automation just works and it saves real time. The mobile experience lags can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Robert Ainsworth

Robert Ainsworth

Feb 2, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: the core workflow and the value for money is strong. On balance the feature set — especially the automation — justifies the 5 stars for our use case.

NP

Nadia Petrova

Dec 16, 2025

Does the job

Pretty happy overall. The dashboard just works and it saves real time. but no dealbreakers — I'd recommend it to a friend without hesitating.

Aaliyah Johnson

Aaliyah Johnson

Nov 3, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on the dashboard, and it is genuinely easy to set up caught me off guard. A few rough edges remain is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Liam O’Connor

Liam O’Connor

Oct 22, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on the API, and it is genuinely easy to set up caught me off guard. still, I'd recommend giving it a real trial.

Q&A

Does Liquid offer any self-service enterprise packages?

We do not currently offer a hosted API of our own. We offer certain models on playground (free with rate limits) and Openrouter (paid with higher limits). For businesses looking to further build self-service with our models, all of our models are available for direct download on Hugging Face. In addition, the majority of our models are offered for customization and deployment through our LEAP platform. If you would like customized support please get in touch with our sales team.

Asked by Kwabena Asante · Sep 22, 2025

What type of support does Liquid offer for its models and products?

Join our Discord, follow us on X and LinkedIn for announcements for more live training and support opportunities through our hackathons or ask me anything sessions. Or get in touch with us via our contact form, we do our best to respond promptly.

Asked by Ulrik Madsen · Sep 18, 2025

Can I use Liquid’s open source tools to create commercial products?

All organizations who wish to use LFMs for commercial should get in touch with our sales team to define terms. We offer custom pricing based on use case for businesses generating more than $10M per year in annual revenue. We offer exemptions for organizations that do not exceed $10M in annual revenue each year.

Asked by Wanjiru Kamau · Sep 11, 2025

Do you provide tools or a platform to specialize and deploy non-Liquid models?

Liquid provides everything you need to build edge AI applications, from model selection to inference, in one cohesive toolchain. With Liquid Edge AI Platform (LEAP), you easily find the best Liquid model for your task and constraints, customize it to your task, evaluate it, and test it instantly on your device.

Asked by Lorenzo Bianchi · Sep 5, 2025

Where can I learn more about Liquid Foundation Models?

Read more about our research on various aspects of LFMs on our Research page, and follow us on X and LinkedIn.

Asked by Odalys Reyes · Jul 26, 2025

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