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Our AI models were designed with one clear objective: be useful at the bench.
They are not black boxes that simply output an optimized sequence. Instead, they generate scientifically interpretable results that help you understand your antibody and its interaction with the antigen.
Combined with the expertise of our scientists, this interpretability enables the selection of biologically relevant variants that AI alone could not reliably identify.
Our AI platforms consistently shorten development timelines by up to 80% compared to traditional approaches. This acceleration is achieved through a comprehensive multi-parameter scoring system that evaluates stability, aggregation risk, expression potential, and more. Innovation is not about replacing biology with algorithms, it is about accelerating the right decisions with the right data.
The result? Better candidates, selected earlier, and more informed decision-making than with conventional workflows.
Our strength lies in the tight integration of AI and wet lab validation.
Predicted variants are experimentally tested, and the resulting data are reinjected into our models for successive AI/wet lab optimization rounds.
This iterative approach ensures antibodies that perform not only in silico, but also in your laboratory.