Liquid AI
Efficient foundation models and deployment tools for private edge AI.
Available information varies by company and source.
Profile record updated:
Company facts
- Official name
- Liquid AI, Inc.
- Entity type
- COMPANY
- Founded
- 2023
- Headquarters
- United States
- Company size
- 50–200
- Market role
- B2B SaaS Provider
- Official website
- liquid.ai
What Liquid AI does
Liquid AI develops proprietary foundation models and an associated deployment stack for edge and private AI. It creates value by reducing the compute, memory, latency and cloud-connectivity requirements of multimodal AI workloads, enabling customers to select, evaluate, fine-tune, package and run models locally. Free developer tooling and public benchmarks broaden adoption, while bespoke model development, enterprise support and implementation services convert business customers into paid engagements.
Category differentiation
Liquid AI is a foundation-model and edge-AI deployment company, not an advertising-technology vendor or a cloud-only large-language-model API provider. It focuses on efficient local and private inference across constrained devices.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
Liquid AI, Inc. is a United States-based foundation-model company spun out of MIT CSAIL in 2023. It develops Liquid Foundation Models (LFMs), proprietary multimodal models engineered for efficient inference on phones, laptops, vehicles, wearables and other resource-constrained devices. Its product portfolio includes the LEAP edge-AI deployment platform, the Pipette open-source benchmarking platform and the Liquid Apollo local mobile AI application. The company serves enterprise technology teams, AI developers, device manufacturers, automotive companies and organisations requiring private or on-device AI. It monetises through enterprise model customisation, specialised technical expertise, deployment assistance and partnership-led implementation, while maintaining free access to LEAP core features and open access to Pipette.
Company news briefing
Briefing updated:
Liquid AI has advanced its technical ecosystem with the release of the open-source developer tool Pipette, complementing its ongoing European market expansion through a strategic partnership with Vago Solutions to deliver on-premise AI models utilising its alternative neural network architecture. These developments reinforce the company's focus on developer distribution, data protection compliance, and efficient edge computing solutions.
Business model & monetisation
Liquid AI uses a freemium-to-enterprise commercial model. LEAP offers core model search, model libraries, evaluation, fine-tuning tools, bundling and Edge SDK access at no cost. Paid revenue is generated through bespoke model support, proprietary-data customisation, specialised expertise, collaborative deployment assistance and white-glove enterprise implementation. Liquid Foundation Models are distributed through supported runtimes and the LEAP platform without a published self-service per-token pricing schedule. Pipette is open source and Liquid Apollo is a free consumer application.
- Bespoke model customisation and proprietary-data support
- Service Fee
- Enterprise deployment assistance and specialised implementation
- Service Fee
- LEAP enterprise platform commercialisation
- Software Subscription
- Free LEAP, Pipette and Apollo adoption products
Products & capabilities
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Products & market categories
Media Channel
Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
Liquid AI Enters German Market with Vago Solutions Partnership
AI · Recorded impact score: 2/5
US AI company Liquid AI, a 2023 MIT CSAIL spin-off valued at around $2.35 billion, has entered the German market through a development partnership with Vago Solutions GmbH, a specialized AI firm based in Hennef. The collaboration aims to build efficient AI models that companies and public authorities can run on their own infrastructure, on-premise instead of in the cloud. Liquid AI uses Liquid Neural Networks instead of transformer architectures, with open-source LFM2 and LFM2.5 models and the LEAP deployment platform. Vago, known for the German-language open-source model SauerkrautLM, will fine-tune and adapt the models to specific industries and domains. The companies did not disclose financial details or the scope of the cooperation. The partnership reflects growing demand for compact, specialized AI models for data-protection, compliance, cost and energy reasons in German-speaking markets.
- Liquid AI was founded in 2023 as a spin-off from MIT CSAIL and is based in Brookline, Massachusetts, with around 120 employees.
- Liquid AI raised a $250 million Series A led by AMD Ventures in late 2024, reaching a valuation of approximately $2.35 billion.
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Questions about Liquid AI
What is Liquid AI?
Liquid AI is a foundation-model company that develops efficient multimodal models and tools for local, edge and private AI deployment.
Who uses Liquid AI?
Enterprise technology teams, AI developers, device manufacturers, automotive companies and organisations deploying private on-device AI use its models and deployment tools.
How does Liquid AI make money?
It earns revenue through bespoke model customisation, specialised technical support, enterprise deployment assistance and implementation engagements.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
20 publicly documented primary sources and citations linked across the market graph.
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