Profluent Bio vs DNAnexus
Side-by-side comparison of AI visibility scores, market position, and capabilities
AI protein design company released OpenCRISPR-1, the first gene editor designed entirely by AI; raised $35M developing novel enzymes, antibodies, and gene-editing tools by exploring protein sequence space beyond what evolution has produced.
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.
DNAnexus is the leading precision health data cloud, managing 65+ petabytes of biomedical data for 12,000+ users across 48 countries; $200M Series I led by Blackstone Growth; serves 7 of top 10 pharma and 8 of top 10 diagnostics companies.
About
DNAnexus is the category-defining cloud platform for precision health data management, analysis, and collaboration. Founded in 2009 and headquartered in Mountain View, California, DNAnexus provides a secure, scalable, and regulatory-compliant cloud environment where pharmaceutical companies, genomics labs, biobanks, health systems, and research institutions can store, analyze, and share multimodal biomedical data — including genomic sequences, clinical records, imaging, and real-world evidence. The platform is purpose-built for the data types, compliance requirements, and computational workloads unique to biomedical research and precision medicine development.
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