Senseye’s founders have come from the aerospace and defence industries, where they worked on complex condition-monitoring systems that are used to predict engine performance, component wear rates, safety failures and optimisation opportunities.
The company is developing an easy-to-use, Web-based tool that takes data from equipment, sensors and the environment and generates forecasts that will allow machine–users to understand the performance of their equipment better, and to predict sub-optimal conditions and maintenance issues. Senseye says that its tool uses a patent-pending analytics technology to deliver fast business insights, without the hard work and expense of other approaches.
“Accurate predictive software has been used for over 20 years in the defence industry,” says Senseye’s chief technology officer, Robert Russell. “Unfortunately, it’s expensive and complex and requires expert input.
“We’re changing that with Senseye, by giving the manufacturing and machines markets predictive technology that they can use without a background in engineering or data analytics, and for less than the cost of a small pump. This makes it particularly suitable for smaller businesses that have been previously priced out of such products.”
The technology is still being developed and Senseye is inviting interested manufacturers and machine-users to take part in a free trial to generate feedback that will be used to improve the product. Senseye is accepting applications to join the Web-based software trials on a first come-first served basis. The company is planning to release the product more widely later this year.