Quickly turn complex clinical and multi-omics data into real-time, actionable insights to drive faster, more confident decisions—while reducing costs and delays
In today's research landscape, clinical data is vast, often fragmented and varied—ranging from electronic health records (EHRs) to omics and imaging data. Managing and making sense of this data can be overwhelming, often leading to delays and increased costs.
Data is often scattered across systems and studies.
Variability in formats, protocols, and terminologies stalls data integration across cohorts.
Researchers struggle to derive meaningful conclusions, delaying therapeutic breakthroughs.
Spot complex, combination-specific side effects
Discover early warning signals from expression & clinical data
Validate hypotheses using external clinical-grade evidence
Use public data to confirm biomarker reliability and speed up your research.
Find and evaluate relevant datasets faster
Unlock and clean external data for meta-analysis
Train ML Classifiers on Harmonized Data to segment patient cohorts.
Ensure data integrity and compliance while scaling your clinical workflows.
Clean, annotated, ready-to-use data
Search, analyze, predict with ease
Built-in compliance & reproducibility
R&D teams struggle to keep up with the deluge of data from assays and ongoing clinical trials. Polly harmonizes these disconnected datasets, connects phenotypic and molecular data, and accelerates time to analysis exponentially. Streamline the transition from targets to clinical development more effectively.