Paris-based French startup Inarix is working to create a more efficient food supply system by more accurately determining the quality and value of farmers’ produce. Inarix received an investment of 3.1 million euros. With the world’s population growing, food production and supply chain management on a global scale has become more complex.
Factors such as climate change, geopolitical issues, extreme weather events and rising inflation affect crop production and pose a major challenge for food producers. Therefore, every grain produced matters. We cannot allow food waste and processes need to be carried out in the most efficient way. Inarix, a French startup based in Paris, aims to address this challenge using AI-based technology.
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Agritech startup Inarix
Ankaa Ventures, Label Investment, Newfund, Alliance for Impact and Resilience and a team of business angels led by Francis Nappez, CEO of Hectar, funded the €3.1 million seed round of agritech startup Inarix. Founded in 2018 by Pierre Chapelle, Inarix has developed a mobile app that allows users to take a photo of their crop and receive crop quality results in real time. This data enables more informed decisions to be made about the value and quality of the crop so that appropriate measures can be taken in a timely manner.
“Basically what we’re doing is allowing you to use your smartphone as a laboratory. The feedback from our existing customers is that being able to get these kinds of results quickly and easily, without the use of large and complex machinery, is a huge convenience for our customers. So we’re excited to further develop our technology to give a wider reach to all players in the agricultural sector.”Pierre Chapelle, founder and CEO of Inarix
French Startup Inarix provides a multi-criteria crop analysis solution using artificial intelligence, performing time-consuming operations that would otherwise need to be done on several machines on a single fast smartphone. This Paris-based startup already has some of the leading players in the French grain industry serving as clients and is currently being used to identify two main crops, barley and soft wheat.