Overcoming key strain-engineering challenges, including genetic stability, optimize protein folding, silent mutations, and precise gene expression control, to enable robust, high-performance production strains

Predicting protein functionality early using AI-powered models to reduce downstream reformulation and application risk

Leverage novel fermenter monitoring approaches to link expression, yield, and purification efficiency with iterative strain development