Mtelligence announced the first machine learning platform with turnkey integration to all leading operations and maintenance systems used in manufacturing.

Known as mVision, the technology was developed by a team of data mining experts boasting over a decade of experience applying machine learning techniques to the largest commercial and military data warehouses in the world.

mVision also includes pre-built adapters for maintenance, automation and condition monitoring systems. All these features convert all data into the MIMOSA open standard data model, which is a mature open standard for modeling asset, maintenance and condition monitoring data.

Mtelligence notes that even though manufacturers spend a large portion of their budget on maintenance and plant automation systems, they are still faced by challenges such as equipment failure, wasteful energy usage and reduced product quality.

By applying a combination of supervised and unsupervised learning techniques, mVision is able to determine predictors of equipment failure and then continuously monitors its clients.

"Machine learning hasn't hit mainstream in manufacturing, in part due to the effort required to build an accurate model and get the data needed to train the system," said Alex Bates, Mtelligence chief technology officer. "Meanwhile, plant engineers and maintenance managers have been struggling to make sense of the mountains of data coming from various software packages. mVision enables customers to convert this data into profit."

"I am genuinely excited to see the Mtelligence team continuing to add more capabilities to their offerings and to make those capabilities available via a SaaS model leveraging the MIMOSA standards,” said Alan Johnston (News - Alert), president of the MIMOSA Foundation, in a statement. “Innovative startups like Mtelligence will be an important part of helping lead the way to gaining more value from new generations of technology and new paradigms such as machine learning. As long-term members of MIMOSA, Mtelligence has realized the value proposition of leveraging MIMOSA standards to enable them to focus more of their resources on adding value to their clients."