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A digitized food quality solution for instant data-driven production decisions1-10 Employees
  • Early Stage
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A digitized food quality solution for instant data-driven production decisions
Our solution is a software solution for quality control in the food industry. Food companies use our software to access or build quality models, for quality decisions including food authentication, fraud detection, ingredient composition and final product specification. These models are Machine Learning based representations of the physical and chemical identity of a food product and enable digital evaluation of new samples.

We're building on NIR technology, by interfacing with many different equipment models and manufacturers thanks to a hardware agnostic approach, unique in the sector. Our solution builds on the state of the art, for increased utility and reduction in price of this technology.

We have built a critical mass of models in certain sectors of the industry already thanks to our parent company, Blendhub. We continue to grow rapidly into new sectors through collaboration with Model Creators, who generate revenue for capturing data and building models of new food products.
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Jacob Kristensen Illán
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CS @City University London. Generalist with skills in connecting business needs with technical teams. Passionate about food. E-comm, consumer mobile app exp.
Carl Watson
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Goodhabitz for personal growth and wellbeing

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