We create high fidelity and analytics grade digital cells that can be used to answer critical R&D questions and make predictions to inform preclinical screens and target identification activities.
Firstly, omics data is ingested, curated and harmonised into an analytics grade format from: public structured datasets, CRO pdfs, literature and in-house proprietary data.
Next the magic happens, a user can interact with the no-code platform to ask questions like "which siRNAs should I screen that will be most likely to be therapeutic hits".
The tool uses the data and AI recommendation systems to make suggestions, which lead to success rate increases of 6X when tested in the lab.
CEO, Co-founder
CTO, Co-founder
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