This Sapio Sciences white paper explains how fragmented lab data across multiple ELNs and LIMS hinders scientific progress by leaving data unfindable, inaccessible, and lacking context. Traditional warehouses and lakes fail scientists because they store data but don’t make it actionable. The proposed solution, Sapio Scientific Data Cloud, unifies enterprise-wide data through automated parsing, syncing, and knowledge graphs. Designed for scientists, not coders, it enables contextual searches, FAIR data management, and built-in analytics for bioinformatics, flow cytometry, and AI-driven insights. The platform turns raw data into usable intelligence, driving faster, more informed R&D decisions.

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