De novo antibody design and AI-powered engineering
Our AI-driven solutions in multi-feature-based epitope-paratope engineering improve key attributes such as potency, binding affinity, stability, specificity and functionality for clinical readiness while minimizing developability risk. Leveraging computational models and multi-parametric analysis, we optimize and fine-tune antibody properties with a focus on precision, structural profiling, and atomic interaction insights.
Bypass traditional dicovery by targeting specific epitopes via de novo design, and drastically reduce development timelines.
Advanced multi-omics data integration
By integrating genomic, proteomic, and transcriptomic data, analytical data and literature we uncover key relationships and hidden characteristics about target and antibody down to the subsequence level.
