Discover our suite of Artificial Intelligence tools that enable the optimization of time and processes in formulating multiple products such as margarines, shortenings, and emulgeles while maintaining high standards of quality and sustainability.
Designed to uncover the intricate relationship between triglycerides and the fatty acids they comprise with the physical characteristics of fats and oils.
The first bar margarine designed by Jul-ia.
In this process, the AI selected an optimal combination of different fatty bases and predicted their physical properties to mimic those of a market bar.
Quantum computing-based system that significantly reduces error and minimizes prediction times for new blends of fats and oils.
Anthon/e facilitated the formulation of a new margarine in just a few seconds. Utilizing quantum computers, we implemented our own algorithms for optimizing the fat blend of this margarine.
Computer-aided design system for obtaining formulations of gelled emulsions that could mimic the functional rheological characteristics of shortenings and margarines with lower levels of saturated fats and calories.
To address the need for liquid margarines, we utilized James.ify In this application, the AI provided a design for an emulgel that mimics the rheology and sensory properties of market liquid margarines.
Somos una empresa con más de 75 años de experiencia en lípidos, grasas y aceites, ofreciendo soluciones a la medida para la fabricación de diversos productos en Estados Unidos, Colombia, México y Chile.