In drug discovery, critical portfolio decisions are often applied inconsistently across teams, with no shared framework or clear decision provenance. BioBox addresses this by connecting proprietary multi-modal data into a custom knowledge graph and enabling scientists to encode decision-making frameworks as executable reasoning models. Delivered through a collaborative ecosystem spanning the R&D workflow, BioBox makes scientific thinking repeatable and decisions traceable. Deployed across top-10 pharma companies, BioBox accelerates AI-driven scientific decision-making.
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