Proprietary algorithms and deep neural network models enable the computational design of enzymes, generating millions of candidates.

Application of an additional suite of algorithms to adapt enzymes for high-throughput DNA assembly, enabling the creation of billions of DNA sequences coded specifically for the designed enzymes.

Experimental, high-throughput screening and advanced analytical methods can test billions of sequence changes in a single experiment to evaluate and identify the best candidates.

The output of each round serves as an additional data set used to train the next generation of algorithms, continuously improving and optimizing our technology platform for even better enzyme design and production.