The factories that process our food and beverages (newsflash: no, it doesn’t come straight from a farm) have to be kept very clean, or we’d all get very ill, to be blunt. Ensuring that usually entails deploying petri-dish-based microbiological monitoring, hardware and waiting for tests to return from labs. A new startup has plans to use deep-learning algorithms to speed up this process.
Spore.Bio is a French startup that has developed a new pathogen-detection methodology. It works by shining an optical light on surfaces where clean food has been, and doing the same with unclean food. It then compares the two datasets to detect when a surface is not clean.
Off the back of this solution, it’s now raised €8 million in pre-seed funding led by London’s LocalGlobe VC. Also participating was EmergingTech Ventures, No Label Ventures, Famille C (Clarins Family Office), Better Angle, Plug & Play Ventures, Entrepreneur First, Kima Ventures, Raise Sherpas, Fair Equity, Sharpstone Capital and angels.
FoodWorld 