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Liquid AI is an artificial intelligence company that builds fast, efficient reasoning models designed to run directly on devices like phones and edge chips rather than in remote data centers.
3 stories, first covered on Oct 7, 2026.
Liquid AI develops open-weight AI models built for speed and efficiency on edge hardware. Its models are designed to run directly on devices such as smartphones, laptops, and edge chips instead of relying on distant cloud servers.
In October 2026 the company released a 24-billion-parameter reasoning model that it says runs 1.7 times faster than competing models on edge hardware. The same month, Liquid AI also made its d1 Decision Models available as open-weight models. These two models are multimodal, meaning they can process different types of input such as text and images. They are specifically built for routing tasks and real-time decisions and return answers with zero output tokens, which allows them to respond extremely quickly.
Liquid AI emerged from stealth in December 2023, positioning itself around building a new generation of AI models from first principles with a focus on efficiency. In December 2024 the company raised $250 million in funding to scale its work on capable and efficient general-purpose AI.
The company is still relatively new compared with established AI labs, but its emphasis on edge-speed performance and open-weight model releases has drawn attention in the developer community.
Liquid AI is known for building fast, efficient AI models that can run directly on edge devices such as phones and chips, rather than requiring connection to large cloud data centers.
The d1 Decision Model is a multimodal open-weight model built specifically for real-time routing and decision tasks. It is designed to return answers with zero output tokens, making it significantly faster than standard generative reasoning models for classification and routing workloads.
Liquid AI raised $250 million in funding, announced in December 2024, to support the development and scaling of its general-purpose AI models.
New modelsLiquid AI Unveils d1-ultra Decision Model Ranking 1 on AI BenchmarkHerald of AI
The new model reads text and images to answer questions with probabilities instead of generating text, cutting costs for developers.
New modelsLiquid AI releases open-weight model built for fast on-device agentsHerald of AI
The new 24-billion-parameter reasoning model runs 1.7 times faster than rivals on edge hardware.
How it worksLiquid AI Opens Up d1 Decision Models for Real-Time, Edge AI ChoicesHerald of AI
Two new open-weight multimodal decision models return answers with zero output tokens — built for speed and routing tasks on everything from servers to edge chips.