Juno Metabolomics utilizes chip-based mass spectrometry for efficient data generation, integrating this with cloud-based bioinformatics to produce standardized, reproducible metabolomics data. This approach enables instant sharing and seamless integration with clinical databases, addressing the need for reliable and accessible metabolomic analysis in precision medicine.
Funding
$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
Traditional metabolomics workflows involve complex sample preparation, expensive equipment, and specialized personnel, creating bottlenecks in research and clinical applications. The lack of standardized data formats and accessible bioinformatics tools hinders data sharing and integration with other clinical datasets.
Solution
Juno Metabolomics offers an integrated platform for streamlined metabolomics analysis, combining chip-based mass spectrometry with cloud-based bioinformatics. Their miniaturized "metabolomic chip" integrates sample separation and ionization, generating digitized data with built-in quality control. The cloud-based bioinformatics pipeline automates metabolite annotation, compiles lists of unknowns, and enables statistical analysis against a validated metabolite library. This integrated approach aims to provide reproducible, shareable metabolomics data for precision medicine applications.
Target Audience
The primary target audience includes researchers and clinicians in precision medicine seeking accessible and reliable metabolomics data.
Features
- Miniaturized chip-based mass spectrometry for automated data generation
- Integrated separation device and ion source within a single "metabolomic chip"
- Cloud-based bioinformatics for metabolite annotation and statistical analysis
- Validated library of metabolites maintained in the cloud system
- Automated data digitization and standardized methods
- Built-in quality control measures
- Capability to compile lists of common unknowns