No-Code Platform
Our cloud-based software requires no specialized bioinformatics knowledge, making it accessible to all researchers.
Cosmos-Hub represents a transformative solution for antimicrobial resistance testing, offering antimicrobial resistance detection with unmatched precision and speed to address the challenges of emerging drug resistant pathogens across clinical, environmental, and food sources.
Unlike slow-paced culture-based antimicrobial susceptibility testing or antibiotic susceptibility testing, Cosmos-Hub leverages advanced bioinformatic methods and metagenomic profiling for accurate and reliable test outcomes, all without requiring coding or specialized bioinformatics training.
Antimicrobial resistance (AMR) is recognized by the World Health Organization as a major public health threat, leading to millions of drug resistant infections and deaths each year. Current laboratory procedures can be inefficient, especially when clinical laboratories rely solely on disk diffusion tests or empiric therapy decisions based on standard minimum inhibitory concentration (MIC) values. These currently used methods may overlook novel resistance mechanisms or emerging antimicrobial resistant bacteria, undermining effective disease control, infection prevention, and patient therapy.
Swift, high-confidence AMR detection is crucial for hospitals and health and human services agencies to limit outbreaks, guide patient care, and reduce healthcare costs, all of which are central aspects of effective antimicrobial stewardship programs.
Our cloud-based software requires no specialized bioinformatics knowledge, making it accessible to all researchers.
Benefit from end-to-end profiling, statistics, storage, and AI interpretation.
Leverage AI-powered data interpretation with scientific referencing for deeper insights.
Enjoy AWS-based solutions with secure team sharing and multi-factor authentication.
Capable of handling 16S, shotgun metagenomics, ITS, and metabolomics analysis.
With Cosmos-Hub, researchers and microbiology laboratory specialists can:
Profile resistance genes and antimicrobial-class-based resistance profiles across various clinical specimens, including gram negative bacteria, carbapenemase producing bacteria, and yeast isolates implicated in bacterial or fungal infection.
Detect antimicrobial resistant infections and track drug resistant pathogens using host-agnostic, k-mer-based analysis for both bacterial pathogens and antimicrobial resistant fungi.
Differentiate shared vs. unique biomarkers of antibiotic resistance or antimicrobial susceptibility, providing comprehensive surveillance and informing effective patient outcomes.
With high-throughput, rapid turnaround (1–3 hours), and scalability for mixed sample types, Cosmos-Hub helps clinical laboratories and public health officials:
Confidence in Results
Gain high-confidence results with our advanced detection methods.
Comprehensive Surveillance
Track resistance genes using a host-agnostic framework.
Enhanced Comparison
Use the Atlas Database for meta-analysis and cohort comparisons.
|
Feature |
Cosmos-Hub |
Conventional Testing |
|
Strain-Level Detection |
Yes, high-precision molecular methods |
Rare; usually genus/species only |
|
Speed |
1–3 hours |
24–72 hours (culture-based) |
|
Analysis Type |
DNA-based, gene-level, host-agnostic |
Disk diffusion/MIC, phenotype only |
|
Bioinformatics Requirement |
None (no-code) |
High (if NGS/metagenomics used) |
|
Coverage |
Bacterial, fungal, mixed samples |
Often limited to known bacteria |
Powered by the Kepler™ infrastructure, this pipeline uses curated k-mer biomarkers from ResFinder and VFDB to detect antimicrobial resistance (AMR) genes and virulence factors (VFs) directly from raw reads without genome assembly. Its biomarker-based scoring and hierarchical classification enable accurate quantification across classes and genes.
This pipeline is ideal for AMR surveillance, diagnostic microbiology, and functional microbial profiling.
Cosmos-Hub sets the new gold standard for antimicrobial resistance testing—redefining how laboratories achieve fast, comprehensive, and actionable insights into antibiotic resistance, antimicrobial resistant infections, and patient care outcomes. Book a demo today to experience the future of AMR surveillance and laboratory workflow.
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Industry-leading bioinformatics pipelines thhat let you analyze different types of sequencing data for multiple applications.
Comparative analysis workflows that leverage your study metadata to create virtual cohorts and analyze them with the latest statistical tools and visualizations.
A study dashboards that provides integrated storage of raw data, profiling data, and study metadata for secure and easy access.
A curated database of over 40,000 microbiome samples, with metadata, that users can compare their samples against.
Cosmos-Hub's AI Co-Pilot, RITAi, supports the interpretation of results generated in the software by allowing researchers to make queries like when using their favorite GPT.
Cosmos-Hub is going multi-omics! In 2025, users will be able to import metabolomics data from any provider and conduct their analysis.
The platform integrates curated nucleotide sequences from ResFinder and classifies them into shared and unique biomarker attributes for maximum resolution.
Yes. Cosmos-Hub can detect resistance genes even in complex, polymicrobial datasets without host or species bias.
Absolutely. Abundance is estimated using weighted k-mer and coverage depth metrics to reflect gene prevalence.