Microsoft selects MachineSense
12/07/2018
Microsoft Corporation has announced that it has chosen US-based artificial intelligence (AI)-driven machine sensor and power analyser manufacturer MachineSense LLC to be part of its elite ScaleUp accelerator programme.MachineSense is one of only twelve start-ups picked for this round of the ScaleUp programme, which Microsoft initiated in February. The initiative plans to invest more than US$500 million (approximately £370 million) in the next two years to help start-ups with go-to-market strategies, technology and community building.
“We are delighted at this important validation of our products and business model,” said Conrad Bessemer, MachineSense Co-Founder. “What attracted Microsoft to MachineSense is the ability to provide a complete solution. The sensors send data to the cloud and MachineSense analytical software diagnoses the data and predicts failure chances of the equipment.”
“By choosing to make us one of their global partners in the Internet of Things (IoT), Microsoft has demonstrated its confidence in MachineSense as a company that is both market and product ready, especially in the Industrial IoT segment,” said James Zinski, CEO of MachineSense LLC.
MachineSense will be the first in the Azure Ecosystem to merge hardware, highly refined data statistics plus advanced first-party analytics that can be applied to a range of devices right out of the box, making MachineSense an attractive solution for Microsoft’s vertical sales teams. Microsoft has been pioneering advanced security systems for industrial devices and MachineSense will be the only predictive maintenance system to benefit from this platform to date, which will assure the highest level of data security and protection for industrial clients, backed not only by MachineSense, but also by Microsoft.
“MachineSense is the only company in its space that has the ability to run analytics fully, both at the edge and in the cloud,” said Dr Biplab Pal, MachineSense Co-Founder and Chief Technology Officer. “Our ability to extract hundreds of features from sensor signals such as vibration and current make us an attractive choice for Stream data, which third parties can use to build extra features in predictive/condition-based monitoring applications. It also makes us the best choice for third-party integration in Factory 4.0,” added Dr Pal.
