Side-by-side comparison of AI visibility scores, market position, and capabilities
Raised $250M Series A at $2B valuation (Dec 2024) led by AMD. LFM2-24B (Feb 2026): 24B knowledge density, 2.3B active params. Runs on 32GB RAM laptop. Non-transformer architecture.
Liquid AI is an MIT-spinout developing Liquid Foundation Models (LFMs) — AI models based on liquid neural network architecture rather than the transformer architecture that underpins virtually all major AI systems. The company raised $250 million in Series A financing at a $2 billion valuation in December 2024, led by AMD, which has strategic motivation to support non-NVIDIA-optimized model architectures. In February 2026, Liquid released LFM2-24B-A2B — a model with 24 billion parameters' worth of knowledge density that runs on only 2.3 billion active parameters, enabling deployment on a standard 32GB RAM laptop.
a2z Radiology AI raised $20M in 2025 for its whole-body AI that simultaneously screens for 24+ conditions across CT scans — from incidental cancers to cardiovascular risk — in a single automated read.
a2z Radiology AI has developed a whole-body CT analysis platform that simultaneously screens for over 24 medical conditions across a single CT scan, including incidental cancers, coronary artery disease, aortic aneurysm, bone density loss, and organ abnormalities. The AI acts as a second reader that radiologists can use to catch incidental findings that fall outside the primary reason for a scan — a major source of missed diagnoses.
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