A Southampton-founded predictive maintenance software company, now owned by Siemens, whose AI warns factories when machines are likely to fail.
Senseye makes software that predicts when industrial machines are likely to need maintenance. It collects data from machines, from maintenance records and from the people who look after the equipment, and uses artificial intelligence to estimate the future health of each machine and point out what needs human attention. The company says its approach can cut unplanned downtime by up to 50 per cent and raise maintenance staff productivity by up to 30 per cent. It is designed for maintenance teams and does not need users to be data scientists. It is sold as a subscription service.
Senseye was founded in 2014 in Southampton. Simon Kampa has been chief executive. In June 2022 it was acquired by Siemens for an undisclosed amount, and it became a wholly owned UK subsidiary of Siemens Holdings, placed within Siemens Digital Industries in the customer services business unit. We found no formal mission statement. The nearest statement is that its offering aims to manage and reduce unplanned downtime and improve productivity and sustainability, including by extending the life of machines and cutting waste.
The UK presence is clear: it is a UK company founded in Southampton and acquired as a UK subsidiary, and Southampton City Council reported the sale as news about a Southampton software firm. Its customers have included firms in automotive, food and drink, mining and metals, heavy industry and energy, including, according to one report, several Fortune 500 manufacturers. Brian Holliday, managing director of Siemens Digital Industries UK and Ireland, said the acquisition "seriously bolsters our digital technology and service offer to industry", and Simon Kampa said that together they could multiply the potential of Senseye's predictive technology.
We did not find details of Senseye's culture, headcount or current office after the acquisition, and the pages we read were written around the 2022 sale, so any student should check how the business is described now. Because it is part of Siemens, it is likely that the technology is now sold under Siemens' own digital industries portfolio, and roles may appear on Siemens' own listings.
Predictive maintenance is a good example of how data skills change factories. Instead of fixing a machine after it breaks, or servicing it by the calendar, teams can act when the data shows a problem is developing. Jobs in this area include software engineers, data scientists, engineers who understand how motors, pumps and bearings behave, and customer teams who help factories set up the system. If you enjoy maths, computing and engineering, this is a field where all three come together.
Website: www.senseye.io
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