Create an AI-ready corpus of large-scale multimodal data, enriched with relevant metadata, to train deep learning models using our scalable harmonization engine.
As large AI models gain traction in life sciences, the quality of biomedical data becomes a key differentiator between impactful and unreliable models. Public biomedical data is often scattered, inconsistently processed, and accompanied by variable-quality metadata, complicating the development of reliable biomedical models. Customized datasets are therefore crucial for effectively training, fine-tuning, and validating biomedical foundation models.
Custom curated biomedical datasets tailored to you research needs.
.svg)
Create AI-ready biomedical datasets with consistently processed data and harmonized metadata from public or in-house sources using our best-in-class pipelines.
Our scalable pipelines support diverse data types, streamlining the curation of multimodal datasets for training foundational models.
Accelerate downstream fine-tuning use cases for pre-trained biomedical foundation models.
Leverage our expertise in custom metadata curation to enrich your datasets with context and assess their representativeness before initiating training workflows.
Utilize comprehensive, standardized metadata for informed data selection, enhancing foundation model pre-training and optimizing downstream fine-tuning use cases.
Accelerate your transition from prototyping to production with our services.
Collaborate with us to build robust data stores, optimize and fine-tune models in the cloud, and effectively benchmark performance.
Integrate complex models into computational workflows, enabling you to start deriving value from your AI initiatives quickly.
Leverage our expertise in data-centric AI solutions within the biomedical space. We offer machine learning (ML) expertise in data preprocessing, selecting the best training strategies, and optimizing model architectures, enabling you to build high-quality models in a resource-efficient manner and within budget constraints.
Utilize our extensive experience in handling diverse data types to assemble domain-specific multimodal datasets tailored to meet all your model training needs.
Benefit from our MLOps, cloud infrastructure, and engineering expertise to seamlessly deploy models in the cloud and build an ecosystem of workflows, applications, and APIs, ensuring easy access and effective utilization of models across your organization.
.webp)
.svg)
.webp)
.svg)
.webp)
.webp)
.svg)
.svg)
.webp)
.webp)
%20(1).svg)
Tailor your research with flexible bioinformatics pipelines like STAR, Kallisto, and more, on Polly, achieving consistent, cost-effective data processing.
Customize the QC mechanisms, cut-offs, and log-fold thresholds used to guarantee superior data quality throughout the ETL process.
Request additional curation of metadata, cohorts, or comparisons within cohorts to streamline the search for biologically relevant signatures.
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’s AI-assisted curation automatically harmonizes all your data into ML-ready formats, in a fraction of the time.
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.
%20(1).svg)
%20(1).svg)
Our experts implement ~50 QA checks to perform batch effect correction, metadata validation, and remove technical artifacts & variations in every dataset.
The data normalization methods or QC metrics used on Polly are not a black box. Learn how each Bulk RNA-seq dataset was processed by downloading a detailed QA/QC report from Polly.
Perform gene, pathway, or metadata-based queries to find and explore the data you need.
Utilize interactive volcano plots, heatmaps, and more to visualize enriched genes and pathways.
Stream Polly harmonized Bulk RNA-seq datasets to your preferred tools for advanced analyses.
%20(1).svg)
.svg)
.svg)
.svg)
%201%20(1).svg)
%20(1).svg)
%201%20(1).svg)
.svg)
%201.svg){kind=icon}
.svg)
.svg)
