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Target Discovery - Lessons from the Field
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Technology
Tech - Polly
Polly is Elucidata’s Multi-Modal Agentic Stack for Target Validation. Polly modules come together to form solutions to help you in various stages of target ID
Polly Modules
Data Concierge
We filter out noise from existing scientific literature.
Polly Scout
AI-powered discovery and prioritization of public biomedical datasets.
Knowledge Graph
Connects genes, diseases, drugs, and pathways in one queryable graph.
Atlas
Harmonizes multi-modal biomedical data into ML-ready formats.
Security & Compliance
Data governance and access controls for regulated R&D.
Polly Xtract
Turns unstructured documents into structured, analysis-ready data.
Co-Scientist
Agentic discovery workflows run in natural language over Polly data.
Deploy Your Data Anywhere
Cloud, on-premise, or hybrid deployment for your stack.
Data Modalities
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
Data-Centric Cross-Species Target Discovery...
Blog
How In Silico Perturbation Prediction Can Help De-Risk Target Discovery
Whitepaper
Predicting Novel Crosstalks in Oncology Using evidence-rich knowledge graphs
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
Solutions
Solutions
Elucidata co-builds a program-specific target decision solution that connects evidence & surfaces targets your team can act on.
About Us
Careers
Mission - Vision
Press & Media
Team
Data Harmonization
Normalize multi-omics datasets across sources into one analysis-ready layer.
Data Concierge
Dedicated team that ingests, curates, and maintains your biomedical data end to end.
Metadata Curation
Ontology-backed annotation that makes your datasets structured and AI-ready.
Data Quality Assessments
Audits that surface data gaps and quality issues before they affect analysis.
Bioinformatics Pipelines
Program-specific pipelines for transcriptomics, proteomics, and genomics workflows.
Custom Apps & Dashboards
Custom decision interfaces and dashboards co-built with your team on Polly.
Data Harmonization
Normalize multi-omics datasets across sources into one analysis-ready layer.
Data Concierge
Dedicated team that ingests, curates, and maintains your biomedical data end to end.
Metadata Curation
Ontology-backed annotation that makes your datasets structured and AI-ready.
Data Quality Assessments
Audits that surface data gaps and quality issues before they affect analysis.
Bioinformatics Pipelines
Program-specific pipelines for transcriptomics, proteomics, and genomics workflows.
Custom Apps & Dashboards
Custom decision interfaces and dashboards co-built with your team on Polly.
Quick Links
case study
Data-Centric Cross-Species Target Discovery...
R&D
Advance Precision Diagnostics With Polly
Blog
How In Silico Perturbation Prediction Can Help De-Risk Target Discovery
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
Our Mission
Publications
Team
Careers
Press & Media
Quick Links
Webinar
Evidence-Driven Target Discovery: Knowledge Graphs That Reconstruct Disease-State Transitions
Blog
How In Silico Perturbation Prediction Can Help De-Risk Target Discovery
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
Assets
Target Discovery: Lessons from the Field
Turing Test for Drug Discovery
Quick Links
Whitepaper
Predicting Novel Crosstalks in Oncology Using evidence-rich knowledge graphs
Solution Brief
Faster Insights on Omics Data Signatures with Polly Discover
dataset roundup
Multi-modal Obesity Datasets For Target ID and Validation
Resources
Spotlight
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Trending Assets
Generative AI Workflow Cuts Regulatory Reporting Time by 4X for Leading RNAi Therapeutics Company
Elucidata x Hookipa: 7x Faster Insights In Translational Research
Polly Delivers STAR Quality Data at High Throughput, 5x Lower Cost
AI-Powered Data Curation Slashes Research Costs by 70%
Oncology Leader Leverages Elucidata’s Drug Atlas to Drive Discovery
MAD-Lib: Library Optimization for Enhanced Metabolite Annotation Using Metabolic map-Aligned Data Library Application
01/
05
Polly-PeakML: A novel machine learning algorithm for metabolomics analysis
02/05
Uncovering the dark-matter of metabolomic space using a novel machine-learning algorithm for peak classification
03/05
PollyTM: A novel cloud-based platform for Metabolism labs
04/05
Automating qualitative and quantitative flux pipelines
05/05
Oncology Leader Leverages Elucidata’s Drug Atlas to Drive Discovery
Polly PeakML Speeds Up Insight Derivation from Untargeted Metabolomics
Accelerated Cancer Target ID by 75% with ML & Curated Data
Cloud Processing of Metabolomics Data
Accelerate Cell-Type Annotation of scRNA-seq Data
Predicting Patients Survivability with Liver Hepatocellular Carcinoma
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Blogs
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Documentation
Dataset Roundup
Solution Briefs
BORDER
ANIMATION
MAD-Lib: Library Optimization for Enhanced Metabolite Annotation Using Metabolic map-Aligned Data Library Application
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Polly-PeakML: A novel machine learning algorithm for metabolomics analysis
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Uncovering the dark-matter of metabolomic space using a novel machine-learning algorithm for peak classification
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PollyTM: A novel cloud-based platform for Metabolism labs
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Automating qualitative and quantitative flux pipelines
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Determining Pharmacokinetics of cysteamine using Polly TM QuantFit: An automated and rapid absolute quantification workflow
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Book A Demo
Enable R&D by Harnessing ML’s Potential for Biological Data.
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Other Resources
Blogs
Dataset Roundup
Documentation
Glossary
Solution Briefs
Webinars
Whitepapers
Evaluation of Novel Software Tools for Automating Metabolomic Flux, Kinetics and Pathway Mapping
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High-Throughput and Sensitive Data Independent Acquisition Workflow Differentiating Pre-Classified Healthy from Prediabetic and Diabetes Samples
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Rewired Metabolism of T-cells upon mTOR Inhibition: Development of an Integrated Omics Pipeline
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Network Optimization Technique for Finding Metabolic Insights from Publicly Available Omics Data
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Network Optimization Technique for Finding Metabolic Insights from Publicly Available Omics Data
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O-GlcNAc signaling orchestrates metabolic adaptation to fasting
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El-MAVEN: Robust mass spectrometry data processing engine for metabolomics
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Knowledge Graph Driven Insights and Drug Repurposing Opportunities For Neuroendocrine Prostate Cancer
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Fast-tracking Patient cohorts with multi-agent AI
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Live Demo: Drive Faster and Data-Backed Insights With Our AI-Powered Knowledge Graphs
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Achieve 75% Faster Data Insights with AI-Powered Knowledge Graphs: Discover How Polly KG Outpaces Existing Biomedical Knowledge Graphs
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How Elucidata Improved Task Accuracy from ~0.75 to ~0.80 with 95M Cells
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How EI-scGPT Outperforms industry-standard scGPT with ~7x Fewer Cells
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Discover how training models can accelerate pre-training by 2-8x and see how we've reduced data curation time from 300 to just 40 hours.
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