How Spoonshot's AI Works

We use AI techniques, like Natural Language Processing and Computer Vision, to build organized information from unstructured data. We do this by leveraging food science principles to establish relationships between these seemingly disconnected data points. Depending upon the problem statement, application or insight required, the appropriate data sets are employed.

Here is one example of the way in which we leverage food science domain knowledge. We process data relating to the physical and chemical properties of ingredients and understand how ingredient interactions impact a final recipe, to deliver insights that are strongly validated and highly relevant to your challenge.

Other elements we examine in building insights include nutritional data, certain components related to sensory data, and food processing technologies.