Harnessing the power of synthetic chemistry and AI to reimagine mRNA therapeutics
RNA therapeutics are an emerging class of modalities that act in a software-like manner. These molecules are by nature digital, discrete, and highly specific. Their chemical topology naturally lends itself to combinatorial searches and AI algorithms, which become particularly powerful and predictive when combined with cost-effective DNA synthesis and sequencing technologies.
Our platform leverages massively-parallel processes to map the chemical space and reveal the structure-activity relationship (SAR) of RNA molecules. Employing big data, we optimize every component of RNA molecules, including their safety, efficiency, and duration of effect.
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