Chromai develops high-performance intelligent liquid chromatography systems for precise separation and analysis of complex mixtures in medical diagnostics. Their technology enhances the accuracy and efficiency of diagnostic testing, addressing the need for reliable results in clinical settings.
Funding
$14.1M 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 liquid chromatography systems often lack the speed and resolution required for comprehensive analysis of complex biological samples in medical diagnostics. Inefficient separation and analysis can lead to inaccurate diagnostic results and delayed clinical decision-making.
Solution
Chromai develops intelligent liquid chromatography systems designed for high-performance separation and analysis of complex mixtures. Their technology enhances the accuracy and efficiency of diagnostic testing by integrating advanced fluidics, automated sample handling, and real-time data analysis. Chromai's systems enable precise quantification of biomarkers and metabolites, facilitating earlier and more accurate diagnoses. The platform's intelligent automation reduces manual steps, minimizes human error, and improves overall throughput in clinical laboratories.
Target Audience
The primary target audience includes clinical laboratories, hospitals, and diagnostic companies that require high-throughput, high-resolution liquid chromatography systems for medical diagnostics.
Features
- High-resolution separation columns optimized for complex biological matrices
- Integrated fluidics control for precise and reproducible eluent delivery
- Automated sample preparation and injection modules to minimize manual handling
- Real-time data acquisition and processing with advanced peak detection algorithms
- User-friendly software interface for method development, data analysis, and reporting
- Compact benchtop design for easy integration into existing laboratory workflows