Protein alignment took 20 mins per result. Vector search now scans 5 billion sequences in <1 minute, linking DNA to cellular images.
A life sciences AI company developed a 210-billion parameter foundation model family to unify proteins, DNA, RNA, and scientific text into a single framework for drug development.
Protein structure prediction relied on alignment methods that took 10–20 minutes per result, making it impossible to scale to billions of sequences....
“If it’s not open source, there’s likely no room for such customizations, which doesn’t fit our scenarios.”
Life science AI foundation models for drug discovery and protein design.
Vector database platform for building and scaling AI applications.
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