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80% data is not readily accessible
Overhead cost of drug discovery
Complex calculations, manual processing
Proprietary and unstructured data
Lack of visualizations/analyzations
Product, data security and integrity
Inter disciplinary (biology, chemistry, biotechnology, bioinformatics)
Digital overlay (GEN Z talent)
ELN, LIMS, Registers & Studies
Access source & results data (chromatogram, peak tables, flow cytometric)
Data acquisition, parsing & ingestion
Structured & segmented (sample sets, projects, operators, studies, protocols)
Visualization & Analytics (structure search, comparisons, control charting, method viability)
Validated, secured and AI/ML modeling
50% Increase in throughput
50% Reduction in lead selection
(unstructured data)
(structured data)
(standard, API)
(Search, Research)
