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Spore.Bio raises $23M to apply machine learning to microbiology testing

Recalls in the food and beverage industry due to contamination incidents can have catastrophic effects. Not only do companies have to pay fines and damages, but the impacts on the brand’s reputation can be long-lasting. That’s why Spore.Bio, a Paris-based deeptech startup, is trying to reinvent microbiology testing to avoid the next PR crisis in […] © 2024 TechCrunch. All rights reserved. For personal use only.



Spore.Bio, a Paris-based deep tech startup, has raised $23 million to revolutionize microbiology testing using machine learning. Traditional microbiology tests in the food and beverage industry take several days due to the need for off-site lab analysis, which can lead to delays and potential public relations crises. Spore.Bio's approach leverages a pre-trained deep learning algorithm to detect bacteria and pathogens in samples more efficiently. The startup aims to develop on-site testing machines for factories, enabling faster and more convenient microbiology testing. This innovation could significantly reduce delays and improve safety in the food industry.

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