Profluent Bio vs a2z Radiology AI

Side-by-side comparison of AI visibility scores, market position, and capabilities

Profluent Bio

EmergingBiotechnology

AI Protein Design

Profluent uses AI to design novel proteins and gene editors, including the first AI-created CRISPR system designed entirely from scratch.

About

Profluent Bio is an AI protein design company founded in 2022 by former Meta AI researcher Ali Madani, raising $35M in seed and Series A funding. The company trains large generative models on biological sequence data to design novel proteins with specific structural and functional properties, analogous to how large language models generate text. Profluent made scientific history in 2024 by publishing OpenCRISPR-1, the first gene editor designed entirely by AI rather than adapted from natural organisms, which the company released open source for non-commercial research. The platform enables design of novel enzymes, antibodies, and gene-editing tools by exploring protein sequence space far beyond what evolution has produced. Profluent works with pharmaceutical and agricultural biotechnology companies that need custom protein tools for research and therapeutic development. The company represents a fundamental advance in moving protein engineering from directed evolution and rational design toward generative AI-driven discovery.

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a2z Radiology AI

EmergingEnterprise AI

Medical Imaging AI

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.

About

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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