I interviewed an interesting CEO of a Swedish start up called Mavenoid. Shahan Lilja is also a co-founder of this company leveraging Artificial Intelligence (AI) in the form of Statistical Machine Learning that tackles maintenance from an entirely different perspective.

(Note: I’m making up for going on vacation rather than going to Hannover by interviewing people I would have seen.)

Every company I’ve talked with for the past many years focuses on predictive or preventive maintenance.

But what happens when things break? A technician still must be sent to the scene in order to trouble shoot the problem. Perhaps the trouble is with a consumer product. The customer calls the company for help troubleshooting. The founders of Mavenoid saw this as an ideal opportunity for a Machine Learning application combined with perhaps a chat bot on the order of Siri or Alexa.

Lilja told me Mavenoid is the world’s leading platform for troubleshooting technical products, from dishwashers and robotic lawn mowers to trucks and cranes. It helps companies organize all of their troubleshooting knowledge, and make it come alive through an intelligent virtual agent. This virtual agent works much like a doctor for technical systems, narrowing down the possible solutions to the problem by asking diagnostic questions, and improves with each interaction. Mavenoid has some of the worlds largest companies as clients, e.g. 7 of the 20 largest manufacturing companies in the Nordics, and has quickly established itself as the future of technical support.

Finally, someone who goes beyond “buzz words” in order to define a strong use case for AI.

Mavenoid technology can be (and in fact is already) embedded within companies’ customer support services. I think this is something you all should definitely check out.

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