ARTICLE
The Role of Machine Learning in ProfilePrint’s Technology
Jul 1, 2024
From Light to Insight: Pre-processing Spectral Data for Prediction
ProfilePrint leverages the power of Machine Learning (ML) to transform digital fingerprints into valuable inputs for informed decision-making, offering a revolutionary approach to food quality assessment.
Beyond the Single Molecule: ProfilePrint’s Toolbox for Sensory Prediction (and more!)
ProfilePrint’s proprietary Toolbox is pivotal in translating complex chemical data into meaningful insights. Sensory attributes like bitterness, mouthfeel, and umami often result from interactions between multiple chemical components at varying concentrations, making them difficult to predict by examining only a few compounds. By training AI on data provided by expert tasters, ProfilePrint’s Toolbox experiments with a vast library of algorithms to identify the most effective ones for predicting these sensory qualities accurately. The technology recognises patterns and correlations between molecular signatures and various quality attributes, enabling consistent and objective food quality assessments that overcome the limitations of human variability.
Furthermore, ProfilePrint utilises ML for additional applications, such as combinatorial optimisation to help users find the best blends that mimic a target sample, and anomaly detection to identify samples that may be anomalous or out of control during the manufacturing process.
Unlocking the Potential of Food Quality Assessment with ProfilePrint’s ML
In summary, ProfilePrint’s ML-driven approach to data processing and analysis enhances the accuracy, consistency, and efficiency of food quality assessments. By transforming complex molecular data into actionable insights, ProfilePrint significantly advances the agri-food industry, offering robust solutions for quality control and product development.
Watch the Video
See ProfilePrint in Action
Let’s discuss how our technology can help with your quality challenges.