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Guide scientists in experimental design and decision-making; Decode complex biomedical data from literature; Enhance productivity in preclinical research; Generate innovative research ideas; Support drug discovery processes in pharma.
Raised $95 million in Series D funding; Serves major pharmaceutical companies; Focused on integrating internal and external data sources.