Spoonshoy applies artificial intelligence techniques—such as Natural Language Processing and Computer Vision—to extract structured insights from unstructured data. Their approach integrates principles from food science to identify and establish meaningful relationships between otherwise disconnected data points. The specific data sets used vary depending on the problem, application, or insight required.
One example of their use of domain expertise involves analyzing the physical and chemical properties of ingredients. By understanding how these elements interact within a recipe, Spoonshoy is able to generate insights that are both relevant and scientifically validated.
In addition to ingredient interactions, they also incorporate nutritional information, sensory data components, and food processing technologies to build comprehensive, actionable insights.
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