AI Startup Using Factory-Based Sensors to Avert Shutdowns

In a world reliant on the power of machines, breakdowns can be problematic, sometimes catastrophic. A system failure at an auto manufacturer can cost up to $1.3 million an hour. An offshore oil platform going offline can waste around $3.5 million a day. But technical failures don’t just drain money. They also risk the safety of employees, put customer relations on the line and can threaten the environment. To counter this, many firms implement predictive maintenance programs to detect equipment flaws before damage occurs. Traditional techniques rely on installing a large number of purpose-built sensors and measuring the performance of specific machines.