Top 10 IoT startups to watch this year
Computer Business Review
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April 19, 2017
IoT is growing at a tremendous rate, and it seems that every device is connected these days, but which are the startups to look out for?
Business Processes Are Learning to Hack Themselves
Harvard Business Review
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June 27, 2016
A company called Sight Machine has developed machine-learning analytics to solve a variety of problems in complex assembly lines. The software can spot hidden problems in existing processes and optimize quality in products.
Sight Machine Names Syed Hoda as Chief Marketing Officer
Business Wire
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May 20, 2016
Sight Machine Inc., the industry leader for manufacturing analytics, today announced it has named Syed Hoda as its chief marketing officer. Hoda has more than two decades of experience in bringing advanced technologies to market for both startups and industry giants.
GE Backs Sight Machine In Manufacturing Big Data Push
Investor's Business Daily
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March 22, 2016
General Electric‘s (GE) startup-collaboration division, GE Ventures, is among those that have invested $13.5 million in manufacturing analytics company Sight Machine, part of the industrial conglomerate’s efforts to extract more data from machines on the factory floor.
Sight Machine Announces Major Expansion With New Detroit-Area Office, Senior Staff Hires
Business Wire
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Nov. 5, 2014
Sight Machine Inc., whose cloud-based manufacturing intelligence solution helps manufacturers tackle critical quality and operations challenges, today announced it has opened an office in Troy, Michigan, giving it a strong presence in the heart of the Detroit automotive manufacturing community. Sight Machine also announced it has hired two senior technology executives with deep experience in cloud-based software for manufacturing.
The next industrial revolution
Radar
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Oct. 28, 2014
Sight Machine uses computer vision and other software techniques to help factories and other physical environments improve their operations.
Manufacturers Struggle to Turn Data Into Insight
Forbes
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Oct. 15, 2014
In the words of one engineer we know, manufacturing is “DRIP”—data rich, information poor. Manufacturers generate data across massive, distributed operations, but the data lives in silos. Until we can make use of the data we already have, collecting ever more data just buries us deeper.
How the Industrial Internet is bridging the Rust Belt and Silicon Valley
Gigaom
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Oct. 25, 2013
After [Sight Machine's] system identifies whether units moving across the assembly pass or fail inspection, it stores and the images in the cloud and generates data based on the units’ dimensions, time stamps and other points. Users can then access that data from their desktops, analyzing everything from time-series data on the whole line to how many standard deviations an individual unit’s dimensions were from the ideal. It doesn’t matter what algorithms are programmed into the camera’s processor — or even if the camera has an embedded processor — because all the work is done elsewhere.