Sight Machine

Software : Data & Analytics : Asset Performance Management

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San Francisco, California, United States

VC-C; WestRock, Mercury Fund, Jump Capital, Tekfen Ventures, Future Energy Ventures

Making Plant Data Continuously Useful for Operations, IT, and Data Science. Sight Machine continuously transforms and analyzes all plant data so that you can focus on improving production.

Assembly Line

Sight Machine, NVIDIA Collaborate to Turbocharge Manufacturing Data Labeling

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Topics: manufacturing analytics

Organizations: Sight Machine, NVIDIA

The collaboration connects Sight Machine’s manufacturing data foundation with NVIDIA’s AI platform to break through the last bottleneck in the digital transformation of manufacturing – preparing raw factory data for analysis. Sight Machine’s manufacturing intelligence will guide NVIDIA machine learning software running on NVIDIA GPU hardware to process two or more orders of magnitude more data at the start of digital transformation projects.

Accelerating data labeling will enable Sight Machine to quickly onboard large enterprises with massive data lakes. It will automate and accelerate work and lead to even faster time to value. While similar automated data mapping technology is being developed for specific data sources or well documented systems, Sight Machine is the first to use data introspection to automatically map tags to models for a wide variety of plant floor systems.

Read more at Cision PR Newswire

2021 IW Best Plants Winner: IPG Tremonton Wraps Up a Repeat IW Best Plants Win

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Authors: Ryan Secard, Peter Fretty

Topics: digital transformation, manufacturing analytics

Vertical: Plastics and Rubber

Organizations: Intertape Polymer Group, Sight Machine

“If you wrapped it and just wound it straight, it would look like a record, with peaks and valleys,” says Richardson. So instead, the machines rotate horizontally, like two cans of pop on turntables. Initially, IPG used a gauge that indicated whether the film was too thick or too thin. “That was OK,” says Richardson, “but it didn’t get us the information we needed.”

Working with an outside company, IPG Tremonton upgraded the gauge to one that could quantify the thickness of the cut plastic in real time as the machine operates.

The benefits of the tinkering were twofold. First, the upgrade gave operators the ability to correct deviations on the fly. Second, “we found that we had some variations between a couple of our machines,” Richardson says. Using the new gauge on both machines revealed that one of them was producing film “a few percentage points thicker” than its twin. “We [were] basically giving away free product,” Richardson recalled. The new sensor gave IPG the information it needed to label film more accurately.

Read more at Industry Week

Strategic Analytics Help Intertape Polymer Shrink Inefficiencies

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Author: Peter Fretty

Topics: cloud computing, quality assurance

Vertical: Plastics and Rubber

Organizations: Intertape Polymer Group, Sight Machine

For Intertape Polymer Group (IPG), a global manufacturer of packaging and protective solutions for industrial and e-commerce applications, the digital transformation process has always been about embracing technology with a keen eye on extracting the overall business value. As such, IPG is currently at different levels of maturity across the portfolio of digital technology deployments, including additive manufacturing, AR/VR training, IoT-based predictive downtime and robotic process automation.

IPG has taken advantage of the unique data modeling capabilities of the Sight Machine platform, which continuously transforms all data types generated by factory equipment and manufacturing software into a robust data foundation for analyzing and modeling a plant’s machines, production processes and finished products.

Read more at IndustryWeek