Transforms raw data from the factory floor into real-time insight
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?
Sight Machine Inc., the industry leader for manufacturing analytics, today introduced a major upgrade of the only end-to-end big data platform purpose-built for manufacturing.
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 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.
Sight Machine Inc., leading the digital transformation of manufacturing, today announced it has raised $13.5 million in Series B venture capital. The round is led by Chicago-based Jump Capital and includes GE Ventures, Two Roads Group and Pritzker Group Venture Capital.
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 Inc. today announced that Tier One automotive supplier Martinrea International Inc.’s division in Manchester, Mich., has selected Sight Machine to transform the way it uses manufacturing data from the factory floor.
While the manufacturing industry focuses on connecting the Industrial Internet of Things, Sight Machine is extracting and analyzing existing data locked away on the factory floor.
Sight Machine Inc., developer of the leading manufacturing analytics platform, today announced a major upgrade to its platform, adding systematic data conditioning and modeling technologies, powerful new analytical capabilities and automated tools to provision and implement the platform across distributed manufacturing operations.
Sight Machine, developer of the leading manufacturing analytics platform, today announced it has been named to Gartner Inc.’s list of “Cool Vendors in Manufacturing Operations” for 2015.
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.
Sight Machine uses computer vision and other software techniques to help factories and other physical environments improve their operations.
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.
[Sight Machine is named as "one to watch" by data scientist Pete Skomoroch]
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.
Jon has served on the management teams of several companies in pioneering industries, including Tesla Motors, SourceForge, and in its early years, Yahoo! Jon holds an A.B. from Princeton, a J.D. from the University of Michigan, and an MBA from Wharton.
Nathan co-founded Slashdot.org, worked 9 years as an architect for SourceForge.net, and has developed several other successful online communities. Nate also has worked in industrial controls. He holds an MS in Information Science from the University of Michigan and a BS in Computer Science from Hope College. See Nate talking about the future of manufacturing here: http://goo.gl/Bi3eEM
Adam has led business development, product development and sales in innovative industries for 15 years. An early employee at Yahoo, and a proud son of the Midwest, Adam excels at ensuring new technologies serve client needs.
Kurt co-founded Slashdot and has served as a professor at Michigan State in information management, economics, and policy. Kurt is an accomplished analytics programmer.
Patrick has more than 25 years experience in marketing, sales, and operations management at high growth technology companies, including Plex Systems, a cloud ERP provider, where he led marketing for 6 years. A Detroit native, Patrick has been working in manufacturing systems for more than 10 years.
Milton is a Silicon Valley native. He has led engineering teams and worked at many leading technology companies including Apple, IBM Research, Netscape, EA, as well as a number of exciting start ups.
Ryan has a background in medical imaging devices. His prior work includes robotic biotech inspection systems and real-time surgical navigation software. Ryan received a BS in Physics/CS from Illinois Wesleyan University and a PhD in Biomedical Engineering from Washington University in Saint Louis.
Brian has more than 20 years of manufacturing software sales, marketing and engineering experience. He has over a decade of successfully applying cloud software to manufacturing challenges within highly regulated industries. Brian’s previous experience includes roles at FANUC, and early sales and sales leadership at Plex Systems.