A core facility automated spatial metabolomics analysis with a Polly pipeline.
Proprietary instrument formats, poor annotation and manual processes slowed throughput and caused QC reruns. Elucidata deployed an automated Polly pipeline with standardized ingestion, LLM-based harmonization with a QA layer and spatial analytics. The page reports 3x shorter data-to-insight time, 100+ samples per week, under 5 minutes per sample, over 90% fewer QC reruns and about 6x less manual prep.
Elucidata is a biomedical data company whose Polly platform harmonizes and curates omics and clinical data for AI-driven target discovery.
This sits in the Data Providers stage of the AI use-case lifecycle: Named examples from the real-world-data, claims and competitive-intelligence providers pharma AI systems are trained on, benchmarked against, or run inside of.
Published by Elucidata on its own site — read the original case study on elucidata.io ↗
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