AI-driven R&D Needs Data Products

Life sciences R&D generates vast amounts of (pre)-clinical data annually and stores them in siloed repositories.

Data is often hard to access, lacks structure & cannot be reused.

Making multi-modal data interoperable is not scalable.

Manually wrangling this data deluge can be time-consuming & costly.

Solution

Build Data Products at Scale with Harmonization Engine

This scalable, modular & customizable technology supports some of the largest data initiatives in Biopharma today. Highest standards of curation are ensured across terabytes of data. Each dataset is harmonized with ontology-backed metadata, processed with scientifically validated pipelines, and undergoes nearly 50 rigorous QC checks to achieve gold-standard quality.

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How This Works?

5000+ Samples Ingested Weekly for 30+ Customers

The Harmonization Engine connects with disparate sources (CROs, cloud storage, public repositories) to ingest TBs of data into a single platform. Built-in validation rules ensure data quality, so you can trust the data you’re working with.

26+ clinical, omics & assay data types can be ingested and pre-processed with the Harmonization Engine.

4X Lower Processing Costs than Industry Average

A fully optimized cloud infrastructure is utilized to process raw data (VCF, FastQ, etc.) with production-ready bioinformatics pipelines.

At an average cost of $0.01 per GB—four times lower than the industry standard and 50% faster—costs can be further reduced by up to 10x through parallel processing and intelligent orchestration.

50+ Curation Models Built for Metadata Annotation

Custom LLMs (BERT, GPT) accelerate metadata extraction from source publications using named entity recognition. This metadata is standardized with chosen ontologies and annotated at the dataset, sample, and feature levels.

Model-assisted curation is 10x faster than manual methods, with pre-built models for over 50 fields. Custom models can be developed within two weeks.

99% Accurate Data Delivered

Over 60 trained QA associates utilize Elucidata's human-in-the-loop curation tool to systematically validate values, annotations, ontologies, and data structures.

99% accurate data that is granular, transparent, custom, and ready for AI/ML is delivered.