Watershed provides a platform for biological data analysis that integrates secure data management, customizable workflows, and supercomputing resources to enable rapid, large-scale analyses across various omics disciplines. By offering a dedicated bioinformatics team and ready-to-use AI tools, Watershed enhances productivity and collaboration for researchers facing the challenges of complex data interpretation.
Funding
$18.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Analyzing biological data, especially large-scale omics data, presents challenges in secure data management, workflow customization, and access to sufficient computing resources. Researchers often struggle with complex data interpretation, hindering productivity and collaboration across disciplines.
Solution
Watershed is a biological data analysis platform that integrates secure data management, customizable workflows, and scalable supercomputing infrastructure to facilitate rapid, large-scale analyses across various omics disciplines. The platform supports diverse data types, from sequencing to mass spectrometry and high-content imaging. By providing a dedicated bioinformatics team and ready-to-use AI tools, Watershed empowers researchers to overcome data complexity, accelerate insights, and enhance collaboration. The platform's customizable user interface and template workflows enable users with varying levels of coding experience to generate publication-quality figures and implement new workflows.
Target Audience
Watershed is designed for cancer biologists, bioinformaticians, and other researchers in the life sciences who require a secure, scalable, and customizable platform for analyzing complex biological data.
Features
- Secure data management with unmatched security to protect patient data and intellectual property
- Customizable workflows that can be tailored to specific research needs
- Scalable infrastructure to handle large datasets and complex analyses
- Ready-to-use AI tools for enhanced data interpretation
- Dedicated bioinformatics team to support researchers
- Support for various omics disciplines, including genomics, epigenomics, transcriptomics, proteomics, multi-omics, population genetics, and microbiomes
- Customizable UI to facilitate collaboration
- GPU-enabled biocomputing to accelerate complex algorithms
- Integration with Geneformer for drug target discovery using network biology