Centralized Data Ingestion for AI Readiness

Ingest data seamlessly from cloud, FTP servers, or local sources into a centralized platform using APIs or GUI. With built-in validation, ensure high data quality coming in from public, in-house, and proprietary sources.

Problem

Fragmented data from multiple sources requires compliant ingestion system

Biomedical R&D generates vast amounts of data from various sources, creating fragmentation across public, in-house, and proprietary repositories.

01

Data is often inconsistent, lacking standardized formats and metadata.

02

Strict regulatory standards add complexity to data ingestion and processing.

03

Ensuring high-quality, validated data is difficult.

Solution

Ingest data from multiple sources with in-built validation

Advanced workflow orchestration seamlessly ingests diverse data types to build complex biomedical pipelines. Public, proprietary, or in-house data centralized into an AI-ready repository, hosted on Polly or your infrastructure. Our data concierge service identifies and prioritizes datasets aligned with your research goals, ensuring only the most relevant data is ingested to accelerate discovery.

How This Works?

5000+ Samples Ingested Weekly for 30+ Customers

Elucidata’s 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.

25+ Data Modalities supported

Supports 25+ data modalities ranging from clinical data (EHR, RWE, clinical notes, etc) , Assay data (Cell-viability assays, Mass-spectrometry, multi-omics, GWAS, etc) and imaging data (H&E slides, IHC slides, MRI, CT, etc) across public as well as restricted data sources.

Effortless Data Importers

Effortlessly import data from diverse sources like S3 and Basespace, streamlining your workflow.

Craft your pipelines in your choice of language—Polly Pipelines supports Nextflow, Polly Workflow Language (PWL) and snakemake. By leveraging Spot instances, our infrastructure reduces expenses by as much as 70%.

Real-Time Data Update and Synchronization

Ensures the knowledge base remains up-to-date with the latest data from publications, clinical trials, and experimental findings.

Ingested data to be immediately compatible with AI and machine learning applications, facilitating downstream analytics and insights.

Technology That You Can Trust

Efficient data ingestion fuels innovation and discovery in biomedical research industry.

35 TB

of diverse data processed monthly across multiple data types.

50+

QA/QC checks ensure quality and completeness.

200+

Experts dedicated to review and to ensure top-quality quality datasets at a time.

~3 weeks

To onboard new pipelines, customized to usecase and to integrate multi-modal biological data.

Trusted by World's Leading Biopharma R&D Teams

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