Predictability = Profitability.

Sudden machine failure and unplanned downtime costs industries more than 20% on efficiency and productivity losses. Indeed, Invensys suggests that over 25% of maintenance activity in factories performed is unnecessary, wastes billions and can introduce additional risks of failure. Industries such as aerospace and mining have adopted expensive niche condition motoring systems to support pre-emptive maintenance regimes.

Other industries simply adopt a wait-and-fix approach, locked out of possible solutions due to cost, complexity, long and costly deployment periods and unavailability.

Senseye is leveraging the technological advances in machine learning and the Internet of Things (IoT) to develop a new prognostic analytics software product for forecasting machine health. Unlike existing solutions, its patent-pending technology means the solution is not limited to a specific machine type or require a team of engineers or data scientists to interpret the data. Moreover, it requires minimal deployment or configuration and provide an immediate ‘time to first insight’.

Senseye make complex aerospace inspired technologies available to the broader market. Senseye is offered as Software as a Service (SaaS), available as a tiered offering: freemium, standard, advanced and enterprise version.