Frost & Sullivan Applauds the Disruptive Value of Mtell’s Leading-edge Machine Learning Analytics Platform in the Oil & Gas Industry

By | May 18th, 2015|Awards, Machine Learning, Mtell Previse, Predictive Analytics, Predictive Maintenance, Press Release, Smart Machines|

The platform’s interoperability with in-house maintenance systems aids seamless changes and modifications of existing maintenance plans

MOUNTAIN VIEW, Calif. (May 19, 2015) – Based on its recent analysis of the big data and analytics market in the oil & gas (O&G) industry, Frost & Sullivan recognizes Mtell with […]

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Mtell Makes its Debut on the Inc. 5000 List

By | September 11th, 2014|Awards, Industrial Internet of Things, News, Predictive Analytics, Press Release, Reliabilty|

Mtell Ranked Number 1297 Fastest-Growing Private Company in the U.S.

SAN DIEGO (September 11, 2014) – Inc. magazine recently ranked Mtell number 1297 on the 2014 Inc. 5000 list (, which acknowledges the fastest-growing private companies in the U.S. The U.S. Census Bureau reports there are approximately 6 million […]

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Mtell Production-centered Maintenance

By | January 23rd, 2014|Machine Learning, Predictive Maintenance, Smart Machines|

In the last few decades, optimization of process operating conditions to create superior production and quality occupied the mindshare in process industries. In recent years, however, the focus has transitioned from superior production quality to maintenance and reliability, with machine uptime as the highest priority.

For example, an enterprise can only […]

When Did Machinery Monitoring Become Machine Learning? Is there a Difference?

By | October 7th, 2013|Anomaly Detection, Machine Learning, Predictive Analytics, Smart Machines|

In the 1980s, for very expensive equipment such as a single un-spared compressor in an ammonia plant, industrial manufacturing deployed machinery monitoring. The risk of huge production losses justified extraordinary expense. In such “experiments,” highly trained specialist engineers with state-of-the-art super-computers and expensive vibration sensors were dedicated full-time to one […]

How is Mtell Able to Transfer Learned Behaviors from One Machine to Another, While Some Claim all Machines are Unique?

By | September 4th, 2013|Machine Learning, Oil and Gas, Smart Machines|

Many potential customers begin Mtell engagements heavily skeptical about our claim of Transfer Learning capabilities. It’s true that older technology approaches must treat every machine as unique, but Mtell has pioneered modern techniques that contradict such deep-seated wisdom.

Machine Learning techniques are data-driven; using only pure data to learn baseline normal […]

Brilliant Machines go to School, but Mtell Smart Machines Graduate

By | August 23rd, 2013|Machine Learning, Smart Machines|

What is a brilliant machine, and what makes a machine smart? According to Moshe Vardi, a noted computer scientist at Rice University in Houston, “Everything that humans can do, a machine can do. Things are happening that look like science fiction.” No kidding!

Humans cannot process vast amounts of data like […]

How to be a Rock Star with the Industrial Internet

By | July 31st, 2013|Industrial Internet of Things, Smart Machines|

What is the Industrial Internet? Wikipedia defines it as “the integration of complex physical machinery with networked sensors and software… to ingest data from machines, analyze it (often in real-time), and use it to adjust operations.” There are some big names making claims and distinct futuristic videos, but what really […]

How does Mtell fit into the Maintenance Acronym Soup?

By | June 15th, 2013|Condition Monitoring, Predictive Maintenance, Smart Machines|

“It takes a courageous fool to say things that have not been said and to do things that have not been done.” ― Criss Jami, Venus in Arms

The core of the Mtell solution is machine learning-based condition monitoring; the fastest and most accurate available today. Mtell makes machines smart so […]