Unlock the power of biomedical research through scalable infrastructure and cutting-edge multimodal data analytics. Deliver precise, actionable insights that advance patient care and improve treatment efficacy.
Scalable infrastructure with high-quality, multimodal data analytics.
Automated data preprocessing and transformation.
Harmonized data integration using standards like CDISC, SEND and SDTM.
Interactive dashboards for intuitive analysis and exploration.
Automatic preprocessing, annotation, and statistical analysis run at scale.
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Preprocess the data for analysis with cleaning, enrichment, and standardization process. We refine and prepare your data, making it reliable and optimized for advanced research and curation.
Maintain complete transparency with access to both raw and derived data. Our platform ensures traceability throughout the data lifecycle, providing reproducibility for reliable research outcomes.
Preprocessed data is expertly refined through advanced curation infrastructure for optimal quality and analysis readiness.
Our system harmonizes data using consistent standards like CDISC SEND, SDTM, and ADAM, ensuring proper mapping and structured organization for integration and analysis.
Integrate scATAC with other omics data types (e.g., transcriptomics, genomics) to gain a more comprehensive understanding of cellular processes.
Experts and harmonization engine efficiently support diverse data types, from imaging to omics.
Multimodal approach simplifies data interpretation, providing a deeper, more nuanced understanding of drug-target mechanisms and treatment responses.
Extract and integrate insights from free text and imaging features, driving data-driven understanding of complex datasets for analysis and discovery.
Harmonization Engine and unified data model facilitates in-depth exploration of multiple assay outputs over time.
Effortlessly explore and analyze data using intuitive interfaces on Shiny apps, Spotfire apps, or your in-house infrastructure.
Custom-built for your specific use cases and maintained by trained software developers, ensuring smooth performance and optimal functionality for all your data needs.
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Request extra metadata fields, use custom ontologies, or annotate cell types with your preferred marker database.
Consistently process, annotate, and QC single-cell data using scientifically validated Polly pipelines to ensure data interoperability.
Seamlessly integrate Polly into your existing infrastructure! Automate ingestion of in-house data from your data storage (ELN, S3 bucket, CROs, and more) into a central Atlas on Polly.
Focus on discovery, not data wrangling! Polly automatically cleans, harmonizes, and structures your in-house single-cell datasets, ensuring they adhere to your custom schema.
Integrate multi-modal datasets into one central Atlas to unveil hidden patterns, and expedite research breakthroughs.
Effortlessly manage and analyze TBs of both in-house and public single-cell data on Polly's secure cloud.
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All single-cell datasets delivered by Polly undergo ~50 QA checks to ensure quality and provenance.
Assess the intrinsic quality of the data (genes, cells, measurements) with comprehensive QA reports detailing the processing methodology.
Avail unrestricted data connectivity and consumption between Polly and your preferred analysis environments. Use APIs to stream harmonized data on Polly to external tools and applications.
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Analyze abnormalities in vital signs, laboratory tests, and adverse events using curated data to understand drug interactions at the molecular level. Gain insights into the drug’s effects on physiological parameters and potential side effects, supporting mechanism-of-action studies and safety evaluations.
Leverage biomarker data to monitor and assess changes in specific patient cohorts, allowing for tailored treatments based on individual responses. Improve drug development by focusing on patient-specific responses to enhance treatment efficacy through personalized approaches.
Evaluate potential adverse effects, including cancer and genetic disorders, to ensure compounds are safe for human use. Identify dose-limiting toxicities and genetic risks, essential for developing safe drugs and meeting regulatory standards.
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Integrate complex preclinical and clinical data to identify the most effective drug, indication, and dosage.
Accelerate insight generation through deep domain knowledge and diverse data modalities.
Data processing and scientific reporting of metabolomics data are crucial but also tedious. Polly’s range of applications helped our team in accelerating these processes significantly and effectively.
Extremely impressed by Polly and its power to digest and integrate large datasets. The unique partnership that we have allows us to work hand-in-hand with software engineers and scientists to rapidly develop novel hypotheses that we can test in the lab.
We really were pleasantly surprised because this tool [El-MAVEN] is really useful in fast analysis of tracer data. It allows us to really look at a broad set of targets so you are not limited anymore for data analysis. A data analyst of mine stepped up to me and said, "I can do now in 3 hours what used to take 4 days.
Data analysis is the biggest bottleneck for metabolomics research. Elucidata has worked directly with us to streamline our analysis pipeline, accelerating the pace of our research.
We were looking for public data on a tight deadline to make decisions on our back up targets for solid tumors. Elucidata was able to understand our relevance criteria, identify, and deliver high-quality harmonized data ahead of schedule. We are really happy with their deliveries and this partnership.
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