Our Lean Bioengineering™ approach combines the power of Directed Evolution, CRISPR+, and Machine Learning to make biomanufacturing scalable, cost-effective, and safe.
GenoScaler™ identifies and recombines edits to create strains with the highest commercial potential. The resulting data sets power machine learning models that efficiently search through large sequence spaces to rapidly improve performance.
Testing large sets of genetic solutions for improved traits
Discovery of beneficial genetic changes that impact improvement
Combinatorial testing of beneficial genetic changes
Tests 1 – 10 integrated genomic edits at a time
Discovers few (1−2) beneficial edits at a time
Limited to adding 1 beneficial edit at a time
2 – 4 weeks/cycle is 4x faster than state-of-the-art
1,000x more cost effective at $0.10/variant
5 – 10x more efficient requiring only 0.5−3 FTE/project