Our Approach
Our proprietary, AI- and machine learning-guided discovery engine has yielded a portfolio of differentiated DNA editors capable of addressing more than 90% of the human genome.
Source From Nature
Employ sophisticated methods of curating metagenomic data
3 billion+ proteins indexed to date
AI/ML Optimization
High-throughput screening to identify and optimize editing technologies
AI/ML feedback loops used throughout discovery and optimization to improve speed/efficiency
Generate
New discoveries with novel properties
We have discovered 9 proprietary gene editors and 6x more nuclease families than are published in the literature
Engineering
Optimized engineering to significantly improve editing efficiency
Engineering has generated >30x improvement in editing efficiency from the wild type nuclease to achieve therapeutically relevant levels of editing efficiency