By using an open substrate, we’ve created a massive, low-cost reaction surface that delivers many billions of reads while avoiding costly flow cells and complicated fluidics
We've combined the speed, efficiency, and read lengths of natural nucleotides with the accuracy and scalability of endpoint detection
Efficient reagent use, reduced crosstalk, and ultra high-speed scanning are achieved with spinning circular wafers.
Deploying machine learning across terabases of context allows us to deliver highly reproducible and accurate results
We’re working with some of the world’s leading scientists to demonstrate what is possible when constraints are removed
To date we have raised over $600M from leading investors who share our vision
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