Meet the
Speed up the antibody discovery process through AI-driven antibody design, screening, and optimization, including de novo design, affinity maturation, and humanization across different formats. Combine generative modeling with binding and developability prediction to streamline lead selection and reduce the scale of wet lab screening.
IgG
VHH
ScFv
Bispecific
Use generative AI trained on real-world gene expression data from CHO, HEK293, E. coli, K. phaffii, S. cerevisiae and more to optimize codons, UTRs, promoters and terminators. Boost expression without the delays caused by protein yield bottlenecks and the cost of lengthy experimental cycles.
Identify disease-driving targets by simulating cellular responses across patient populations. Compare healthy and disease states, stratify responders and non-responders, and uncover cell-type-specific targets linked to treatment response.
Generative Al computational lab
Generated molecules are fully owned by customer
Continuously fine-tuned for improved performance
Fully hosted by Converge or deployed on customer cloud
Customer instance
Applications
