Side-by-side comparison of AI visibility scores, market position, and capabilities
$20M total raised. Trinity-Large-Thinking (400B param, Apache 2.0) launched April 2026 — hit #1 most-used open model on OpenRouter with 80.6B tokens/day peak. Led 33-day training run on 2048 NVIDIA B300 GPUs.
Arcee AI is a scrappy open-source model lab that bet nearly half its total funding on a single 33-day training run on 2,048 NVIDIA B300 Blackwell GPUs to train Trinity-Large-Thinking — a 400 billion parameter model released under Apache 2.0 license in April 2026. The model hit #1 on OpenRouter's most-used open model ranking and peaked at 80.6 billion tokens served per day — making it one of the most-used open-weight models from a non-Chinese AI lab.
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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