Polly

Polly is an AI-ready omics data platform developed by Elucidata, designed to help R&D teams in biopharma and life sciences scale their data science capabilities and transform heterogeneous biological data into harmonized, analysis-ready resources. The platform has been utilized by multiple biopharma partners to harmonize millions of datasets across a wide range of enterprise-grade drug discovery and development initiatives, delivering measurable outcomes such as 75% faster target matching, $330M in unlocked therapeutic opportunity, and $1.34M saved in compute costs.

Polly's cloud-based infrastructure processes over 35 TB of biomedical data every month, achieving 99% accuracy on data harmonization across 25+ unique biological data types, with 100% automation of internal ETL processes. The platform is purpose-built for teams working on drug discovery, clinical research, precision diagnostics, target identification, biomarker discovery, meta-analysis, and signature exploration.

Core Platform Capabilities

• Finds mission-critical datasets by filtering noise from scientific literature, matching indications to targets up to 75% faster with access to the right data.
• Delivers all datasets in a processed, metadata-annotated, and QA-verified format, with expert-driven prediction of data needs tailored to specific research goals.
• Harmonizes large volumes of public and in-house biomedical data using an LLM-powered harmonization engine, supporting 25+ omics, assay, and clinical data types.
• Allows customization of the processing pipeline, metadata fields annotated, and data models applied to fit unique analysis requirements.
• Centralizes data stored across heterogeneous organizational systems into a singular Atlas on Polly, promoting findability, analysis, and collaboration on data assets.
• Ensures historical data retains context and is findable, avoiding duplication and the need to regenerate data.
• Places experimental results in the context of the broader omics landscape for a complete view of disease biology.

Polly's Harmonization Engine

• Processes molecular measurements, links them to harmonized metadata, and transforms them into a Unified Data Model.
• Maps data with ontology-backed metadata at the dataset, sample/cell, and feature levels, achieving 99% accuracy and metadata completeness.
• Produces human-readable, searchable labels that are relevant to the disease biology being studied.
• Built on a customizable curation engine capable of transforming omics, assay, and clinical data into a high-quality, ML-ready resource.
• Supports ingestion and processing of over 35 TB of molecular data per month through purpose-built, scalable infrastructure with secure storage and real-time data processing.

Analysis and Integration Features

• Reduces time spent integrating diverse data types and formats, enabling teams to jump directly to analysis with harmonized, analysis-ready data.
• Supports investigation of studies at the dataset, sample, and feature levels through both code-based and native application interfaces.
• Streams harmonized data into existing analytical setups via APIs, enabling seamless integration with current workflows.
• Eliminates data silos through the platform's harmonization engine and Atlas module, saving over 1,000 hours annually.

Key Outcomes and Use Cases

• Identified 2+ targets in AML 75% faster using harmonized multi-omics data.
• Unlocked a $330M therapeutic opportunity through open-access microbiome data integration.
• Achieved $1.34M in compute cost savings and 100% automation of preclinical data management workflows.
• Supports use cases including target identification, biomarker discovery, meta-analysis, and signature exploration across discovery and clinical research stages.

Polly is deployed as a cloud platform with enterprise-grade security and compliance features, and supports roles across biologists, bioinformaticians, data custodians, and leadership teams. The platform also offers pipeline solutions, curation on demand, ML solutions, and custom data solution partnerships, with offices in San Francisco, Boston, New Delhi, and Bengaluru.