Scitrix provides an AI-powered platform that accelerates chemical analysis using advanced NMR spectroscopy. Their technology generates detailed 3D analyte structures and enables real-time quantification of chemical mixtures, improving decision-making for researchers and quality control professionals.
Funding
Funding not disclosed
Founders
Product
Problem
Chemical analysis of complex matrices often involves significant costs and time investment, posing a challenge for efficient and scalable solutions. Traditional Nuclear Magnetic Resonance (NMR) spectroscopy, while powerful, can be resource-intensive and require specialized expertise for data interpretation.
Solution
Scitrix develops advanced NMR technologies designed to deliver fast and accurate results for chemical analysis, making timely decisions accessible. Their platform integrates artificial intelligence and machine learning algorithms to process raw NMR data, generating detailed 3D analyte structures and enabling real-time quantification of mixtures. This approach aims to democratize access to sophisticated analytical capabilities, enhancing quality control and decision-making processes across various industries.
Target Audience
The primary target audience includes researchers, chemists, and quality control professionals in the chemical industry, pharmaceutical sector, and academic institutions who require efficient and accurate molecular structure elucidation and quantification.
Features
- AI-powered platform for processing NMR data, including advanced machine learning techniques and sophisticated data correlation algorithms.
- Generation of detailed 3D analyte structures from NMR data.
- Real-time quantification of chemical mixtures.
- Development of computational tools that serve as benchmarks in the scientific community.
- Integration with Gaussian output files for NMR/NBO calculations.
- Python-based program (ML-JDP4) for computing ML-J-DP4 probabilities.
- DP4+App software for performing parameterized DP4+, MM-DP4+, and Custom-DP4+ calculations with a graphical user interface.