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AI enters the food lab: The rise of predictive ingredient development
Artificial intelligence has moved beyond brainstorming and into the working infrastructure of F&B innovation. Ingredient suppliers, product developers, and major brands are using specialized systems to organize research, model formulations, predict ingredient behavior, interpret consumer signals, and reduce physical trials before commercialization. Before reaching the bench, developers can use AI to eliminate obvious dead ends, compare competing constraints, and decide which formulations are worth testing.Hans Brand, applications director at Revyve, showcases three sauces formulated with the company’s functional yeast protein, including burger, mayonnaise, and cheese sauces. He explains how the clean label ingredient can replace egg while maintaining stability and sensory qualities. Revyve says the approach can significantly reduce sauce formulation costs while removing supply chain volatility from the equation.
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