Zymergen was founded to pioneer an entirely new approach to these problems. By applying the latest advances in biology, automation, machine learning, and data architecture we have developed new, more efficient, more reliable ways to optimize microbes for industrial fermentation.
We take a data-driven approach, embrace the complexity of biology and treat strain optimization as a heuristically-guided search process. Zymergen has proven capability to work on the full range of microbes currently used for industrial production. Modern microbial engineering has focused on S. cerevisiae and E. coli, but our platform doesn’t limit us to these model microbes. We are truly host-agnostic, and have worked with a variety of gram positive bacteria, gram negative bacteria, yeast and filamentous fungi. Our platform allows us to improve the performance of nearly any strain used in existing commercial fermentation as well as develop new products.