Polly helps R&D teams in scaling their data science and making heterogeneous biological data 'AI-ready'. The platform has been utilized by multiple biopharma partners to harmonize millions of datasets across a variety of enterprise-grade drug discovery and development initiatives.
Filter out noise from existing scientific literature and find mission critical datasets. Match indications to targets 75% faster with access to the right data.
Our experts predict your data needs and deliver data tailored to your research.
All datasets are provided in a processed, metadata annotated and QA-ed format on Polly.
Transform large amounts of public or in-house biomedical data with Polly’s LLM-powered harmonization engine.
Customize the pipeline used, metadata fields annotated or data model applied to fit unique analysis needs.
Scale data harmonization to 25+ omics, assay and clinical data types.
Cut down time spent on integrating an array of data types and formats. Jump straight to analysis with harmonized, analysis-ready data.
Investigate studies at the dataset, sample and feature levels through code or native applications.
Stream Polly's Harmonized Data into your existing analytical setup with APIs.
Centralize data stored in heterogenous systems within your organization on a singular Atlas on Polly. Promote easy findability, analysis and collaboration on data assets.
Ensure even historical data has context and is findable. Avoid duplication and having to regenerate data.
Put you experimental results in context of the wider omics landscape for a complete view of disease biology.
Polly's powerful harmonization engine processes measurements, links to harmonized metadata and transforms them into a Unified Data Model.
Mapped with ontology-backed metadata at dataset, sample / cell, and feature levels. 99% accuracy and metadata completeness. All labels are human-readable, searchable, and relevant to the disease biology being studied.
Built on a powerful, customizable curation engine that transforms various kinds of omics, assay and clinical data into a high-quality, ML-ready resource. Customize the pipeline in which your data is processed, metadata harmonized or data model applied.
Harmonizing molecular data requires unprecedented scale in terms of technology and the computational power required. Polly ingests and processes over 35 TBs of molecular data every month. Our purpose-built infrastructure ensures secure storage and real-time data processing, enabling swift analysis for faster target discoveries.
Polly helps R&D teams in scaling their data science and making heterogeneous biological data 'AI-ready'. The platform has been utilized by multiple biopharma partners to harmonize millions of datasets across a variety of enterprise-grade drug discovery initiatives.
Biomedical data harmonized every month
Accuracy on Data Harmonization
Unique biological data types transformed
Automation of internal ETL processes