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Build AI-ready, annotated datasets at scale using LLM-powered metadata annotation & subject matter experts.
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Elucidata’s human-in-the-loop annotation process accelerated cell type annotation by 2x, delivering 1.8 million single cells in record time to this therapeutics company.
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Life sciences R&D generates vast amounts of (pre)-clinical data annually and stores them in siloed repositories.
Metadata are often incomplete and lack standardized naming conventions.
Molecular identifiers across different platforms are inconsistent.
Manually labelling & standardizing these metadata could take months.
Proprietary tool with an intuitive GUI that allows domain experts to annotate datasets with harmonized metadata fields and review data structures. Apply metadata 10x faster than purely manual methods.
The tool offers a double-blind review of fields that validates LLM annotations, ensuring maximum accuracy.
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LLMs use named entity recognition to identify key metadata—like drugs, diseases, cell types, genes, and toxicity outcomes—and harmonize them with specific ontologies.
Curation experts can review this output and edit incorrect fields directly from an intuitive GUI.
Atleast 50+ QA/QC checks are applied to ensure high metadata accuracy and data integrity.
Every dataset is annotated with 30+ default metadata fields at the dataset, sample & feature level. New fields can be intgerated depending on your use case.
Curation models embedded into the tool for atleast 50+ fields that perform semi-automated annotation.
Models for a new field can be integrated within 2 weeks, using well-defined curation guidelines and configurations.
Deep curation unlocks AI/ML modeling, cohort creation & meta-analyses.
Ensure metadata consistency across projects by using our default ontologies or integrating your controlled vocabulary of choice.
In-built ontology validation covers key fields - disease, tissue, cell type, cell line, tissue, gene, strain, etc.
Custom ontology can be introduced into the platform within a week.
The metadata annotation tool offers an intuitive UI for users to add ontologically correct fields and ensures zero chances of error.
Sample & study level metadata annotation for omics, assay, clinical & unstructured data are supported on the platform.
Expanding to a new data type, ontology or a new field is possible within a week.
50+ curators can work simultaneously on individual projects using role based access controls.
Multiple ways to view data (dataset & sample level, tables or free-text) help experts understand and label it more efficiently.
"Curation platform has been utilized by trained experts over 3B+ data points in the last 5 years."
Curation models pre-built for metadata today.
Curators can annotate & review datasets at a time.
Datasets are curated weekly to deliver to customers.
Improvement in efficiency of curators with the tool.
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Your Journey to Unlocking Scientific Discoveries Begins Here.
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