Platform
Polly
The Only AI-Ready Data Platform
Overview
Data Concierge
We filter out noise from existing scientific literature.
MODULES
Ingestion
Centralized Data Ingestion for AI Readiness
Harmonization Engine
Harmonize multi modal data into ML-ready formats.
Atlas
Structured Repository for Multi-modal Data
Insights
Gain Actionable Insights from Your Data
features
Security & Compliance
Ensure precise data management with our custom metadata curation.
Data Model
Schema for Multi-modal Data Storage
AI-Readiness
Optimizing Biomedical Data Processing and Standardization
Deployment
Deploy Your Data Ecosystem Anywhere
Managed Services
Data Concierge
We filter out noise from existing scientific literature.
Data Concierge
We filter out noise from existing scientific literature.
Processing at Scale
Streamline large-scale omics data analysis with speed, accuracy, and cost-efficiency.
Bioinformatics Pipeline Building
Build data processing pipelines customized to your data and analysis requirements.
ETL Pipeline Building
FAIR ETL pipelines tailored for efficient multi-modal data integration in life sciences.
Curation App
Build AI-ready, annotated datasets at scale
Metadata Curation
Ensure precise data management with our custom metadata curation.
Custom Apps and Dashboards
Develop Web-
apps & Dashboards to Analyze Harmonized Data
Data Quality Assessment
Ensure conformance, completeness, consistency, and plausibility.
Data Types
Data on Polly
Single-cell RNA-seq
Bulk RNA-seq
Microarray
Proteomics
Spatial Transcriptomics
Data on Polly
Single-cell RNA-seq
Bulk RNA-seq
Microarray
Proteomics
Spatial Transcriptomics
Single cell CITE-seq
EHR
Assay Data
Single cell ATAC-seq
Whole Slide Imaging
Target Identification
Rapidly identify and validate targets with harmonized multi-omics data.
Biomarker Discovery
Predict diagnostic or prognostic biomarkers by analyzing multi-omics data.
Meta-analysis
Integrate expression data to extract molecular signatures.
Signature Exploration
Identify indications related to a gene signature, or find drugs that reverse a disease signature.
Patient Stratification
Train ML Classifiers on Harmonized Data to segment patient cohorts.
Target Identification
Rapidly identify and validate targets with harmonized multi-omics data.
Biomarker Discovery
Predict diagnostic or prognostic biomarkers by analyzing multi-omics data.
Meta-analysis
Integrate expression data to extract molecular signatures.
Signature Exploration
Identify indications related to a gene signature, or find drugs that reverse a disease signature.
Patient Stratification
Train ML Classifiers on Harmonized Data to segment patient cohorts.
Foundation Models
AI-ready data and scalable harmonization for faster and more accurate predictions
Quick Links
case study
Elucidata x Hookipa: 7x Faster Insights In Translational Research
Blog
"Rarity Has an Inherent Value" - Single Cell Omics and Rare Cell Detection
Whitepaper
Leveraging ML for Cell Type Annotation
Solutions
Solutions
Custom solutions to get the most out your curated biomedical data.
Discovery
Build Custom Applications & Dashboards
Visualize and Analyze biomedical data with custom built web-applications and dashboards.
Target Identification
Rapidly identify and validate targets with harmonized multi-omics data.
Biomarker Discovery
Predict diagnostic or prognostic biomarkers by analyzing multi-omics data.
Signature Exploration
Identify indications related to a gene signature, or find drugs that reverse a disease signature.
Foundation Models
AI-ready data and scalable harmonization for faster and more accurate predictions
Clinical Research
In-house Data Harmonization
Curate, label, process, and manage data as per your specifications.
Public Data Harmonization
Use our data concierge service to find relevant public datasets more efficiently.
In-house Data Harmonization
Curate, label, process, and manage data as per your specifications.
Public Data Harmonization
Use our data concierge service to find relevant public datasets more efficiently.
Meta-analysis
Integrate expression data to extract molecular signatures.
Patient Stratification
Train ML Classifiers on Harmonized Data to segment patient cohorts.
Precision Diagnostics
Build Custom Applications & Dashboards
Visualize and Analyze biomedical data with custom built web-applications and dashboards.
Scale Diagnostics Workflows
Run production-ready diagnostics pipelines, at scale, on Polly’s cloud environment.
Core Facility
Build Custom Bioinformatics Pipelines
Build data processing pipelines customized to your data and analysis requirements.
Overview
Build data processing pipelines customized to your data and analysis requirements.
Automate Data Processing & Management
Drive Operational Excellence in Your Core Facility with Streamlined Data Management
Quick Links
case study
Elucidata x Hookipa: 7x Faster Insights In Translational Research
R&D
Advance Precision Diagnostics With Polly
BLog
Scaling Data Pipelines for High-throughput Bioinformatics
Who We Serve
Who We Serve?
Discover tailored solutions for life sciences based on your unique requirements - Achieve faster R&D outcomes, unlock cost and time efficiencies, break data silos or scale cloud infrastructure for growth!
Early Stage R&D
Harmonized data with a full suite of IND-enabling solutions for accelerating R&D.
Precision Medicine Diagnostics
Scalable and secure data processing cloud infrastructure to set up your diagnostic R&D workflows for commercial growth and global expansion.
Research Informatics
End-to-end data ecosystem aided with technology, processes and experts to break data silos and drive successful AI initiatives in BioPharma.
Translational Research
Translational teams bridge the gap between scientific discoveries and clinical applications, accelerating the journey from bench to bedside.
Early Stage R&D
Harmonized data with a full suite of IND-enabling solutions for accelerating R&D.
Precision Medicine Diagnostics
Scalable and secure data processing cloud infrastructure to set up your diagnostic R&D workflows for commercial growth and global expansion.
Research Informatics
End-to-end data ecosystem aided with technology, processes and experts to break data silos and drive successful AI initiatives in BioPharma.
Translational Research
Translational teams bridge the gap between scientific discoveries and clinical applications, accelerating the journey from bench to bedside.
Quick Links
Blog
Building Biomedical Data & ML-ops Platform: From Collection to Discoveries
CASE STUDY
Optimizing Diagnostics: Elucidata Doubles (2X) Sample to Report Speed
Company
Company
At Elucidata, we are committed to building a TechBio company for the future that will transform drug discovery by integrating different forms of biomedical data.
About Us
Careers
Mission - Vision
Press & Media
Team
Leadership
Customers
Mission - Vision
Press & Media
Team
Careers
Quick Links
Webinar
DataFAIR 2023: Data Quality- The Cornerstone of Effective Generative AI in Drug Discovery
Blog
Elucidata Leading Innovation in Biotech - A Fast Company Recognition
Resources
Elucidata Resources
Explore our product updates, industry insights and customer stories through our blogs, case-studies, webinars, white papers, videos and more.
Blogs
Case Studies
Datasets at a Glance
Glossary
Solution Briefs
Webinars
Whitepapers
Blogs
Case Studies
Datasets at a Glance
Glossary
Solution Briefs
Webinars
Whitepapers
Events
Data Modalities
Quick Links
Whitepaper
Leveraging ML for Cell Type Annotation
Solution Brief
Faster Insights on Omics Data Signatures with Polly Discover
dataset roundup
Multi-modal Obesity Datasets For Target ID and Validation
Resources
Spotlight
Upcoming
Events
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Upcoming Webinar -
Accelerate Diagnostic Product Development with Scalable & Accurate AI-Ready Clinical Data Pipelines
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[Upcoming Webinar]
Scaling High-Quality Data Processing: Achieve 4x Cost Reduction for Foundation Models
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CASE STUDY
Predicting Patients Survivability with Liver Hepatocellular Carcinoma
Key Highlights
Hepatocellular cancer has a high mortality rate but making a prognosis is challenging.
Predicting the survival outcomes of liver cancer patients using a single type of biomedical molecular data is challenging.
Multi-omics data from Liver OmixAtlas data can be integrated to train ML models for predicting patient survivability.
Our ML model, trained on integrated multi-omics data, could predict liver cancer patient survivability with a high level of precision.
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All Case Studies
Data Interoperability as a Service: 6X Faster Clinico-Genomic Data Integration & Analysis with Polly
Read More
Elucidata Cuts 95% Manual Scientist Effort in Protein Production Workflows
Read More
Predicting Spatially Resolved Gene Expression from Histopathology Images
Read More
500 Hours Of Data Wrangling Saved While Ensuring Superior Data Quality
Read More
80% Faster Data Management & 50% Fewer Data Queries for Academic Core Facilities
Read More
Six Months to Success: Accelerating AML Target-indication Assessment With Advanced Knowledge Graphs
Read More
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