Axion Ray brings intelligence to manufacturing to find issues before they cause trouble

Manufacturers face a dizzying array of potential problems around the machines they produce, and it’s challenging to track down issues. This isn’t just nice to know. It’s crucial information, often tracked manually today by human auditors in spreadsheets. In some cases, failing to understand when there is a faulty part could result in costly recalls, and in the most extreme cases, deaths and lawsuits.
Enter Axion Ray, an early stage startup that is using machine learning to track these issues in unstructured data to build a picture of potential problems before they get out of hand.

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