OUR TECHNOLOGY
AIoS™ and MMR™ - advanced comprehensive diagnostic stack for infectious disease.
Credence Genomics combines AIoS™ artificial intelligence on sequencing and MMR™ machine modeling resistance uses deep tech integration of sequencing and machine learning to deliver reproducible, clinically actionable insights – this technology stack provides accurate pathogen identification, allowing for clinically informed actionable information to treat complex infections.
Metagenomic and machine learning for complete resolution.
Credence Genomics uses proprietary technology based on the principles of diversity indexing across site and sample representation. The technology considers the type of sample by location, and through a proprietary algorithm, and integrated machine learning differentiate the pathogen. A single technology stack from assay to analysis that eliminates any doubt.
From Complex Data to Clinical Clarity
Raw sequencing data is processed through proprietary bioinformatics pipelines and machine learning models designed to distinguish true pathogens from commensal organisms and contaminants. This layered analytical approach ensures results are not only accurate, but also clinically meaningful—delivering clarity when traditional diagnostics provide incomplete or ambiguous information.
The Credence Genomics Technology Stack
- Broad Coverage
- High Precision
- Rapid Turnaround
- Reproducible Results
- Clinical Relevance
Our Case Studies
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Built for Clinical and Operational Confidence
Credence Genomics technology is validated across wet-lab and dry-lab workflows, with multi-layered quality control embedded at every stage. This integrated approach supports consistent performance across sample types, clinical settings, and geographic regions—making the platform suitable for both routine diagnostics and high-acuity care environments.
Why the Credence Genomics tech stack ?
37,000 +
95%
18 hrs
100%
Our Process
How Credence Genomics Detection Kits Work
Clinical samples are processed using validated wet-lab protocols designed to preserve microbial DNA while minimizing contamination. This ensures consistent, high-quality input across diverse sample types.
Next-generation sequencing captures the full microbial landscape within each sample. Proprietary bioinformatics and machine learning algorithms identify pathogens while separating commensal organisms and contaminants.
Results are delivered in a clear, structured format—providing species-level identification and clinically relevant insights that support informed treatment decisions and faster patient care for your needs.