We have developed an innovative approach based on the integration of Nuclear Magnetic Resonance (NMR) and Artificial Intelligence (AI). For that, we identify characteristic patterns of each product through the AI-based modelling of acquired NMR spectra, thus generating a reference simulated spectrum that collects its differential characteristics, in other words, the digital fingerprint of each product.

Besides, we create predictive feedable models capable of classifying samples, certify products (trademark, origin, Designation of Origin…), identifying contaminants (toxins, additives, antibiotics, pesticides…) and controlling traceability (from raw material to packed/bottled product).