Data as of Aug 25, 2026 · Based on 3,181,687 AI responses across 10,525 prompts · See how Parse measures this
Liquid AI builds and ships on-device, edge-native foundation models (LFMs) designed for latency and privacy, enabling on-device reasoning under 1GB. It provides the LEAP Liquid Edge AI Platform and runtimes (llama.cpp, MLX, ONNX, CoreML) to fine-tune, bake, and deploy LFMs across hardware for production use. LFMs are deployed across devices and industries—from phones and cars to space and finance—with partnerships including Mercedes-Benz, Insilico Medicine, and MacPaw, and are advanced by Liquid Labs frontier research.
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Sources
liquid.ai shapes more of what AI says about Liquid AI than any other source, at 45% of its citations.
interestingengineering.substack.com · mckinsey.com · medium.com · parse.gl
Excerpts where Liquid AI appeared in the AI's answer

Liquid AI: Produces smaller "Liquid Foundation Models" (LFMs) designed for on-device deployment
Excerpts where Liquid AI appeared in the AI's answer

Liquid AI builds Liquid Foundation Models (LFMs) . Instead of traditional Transformers, they utilize a different mathematical architecture