World-class technology to enable world-class manufacturing
Connect, unify and label all of your factory data
Restructure data from multiple plant sources
Benchmark, monitor, and improve productivity
Drive operational improvements across your enterprise applications
Delivering value to the entire organization.
Solving manufacturing’s biggest challenges.
Artificial intelligence & machine learning.
New trends and insights from the world’s leading team of technologists, manufacturing experts, and entrepreneurs who, above all, are focused on findings to make factories—and the world—continuously better.
Assessing Your Data’s Readiness We engage daily with global manufacturers looking to better use production and related data to predict
Customize and schedule automated manufacturing dashboards and seamlessly share reports. Eliminate manual reporting with a continuously automated solution.
Manufacturing Data Collection. Every year, NASA’s Hubble space telescope creates 10 TB of data. By comparison, the average factory creates 1 TB of data every day.
Sight Machine will be exhibiting within the booth of our partner Microsoft at Hannover Messe. Join us!
Automated Data Labeling (ADL) Uses Machine Learning Software and GPU Hardware to Automate High-Volume Data Preparation.
In this Q&A manufacturing data leaders discuss the challenges and opportunities of Chemical Industry Digital Transformation.
Sight Machine has been working with Microsoft to bring similar quick-turnaround solutions to manufacturers around the globe.
Digital transformation failures are all too common in manufacturing, with failed deployments, costly projects or initiatives not adopted.
With OEE Insight From Sight Machine, Metals Company Fixes 5% Scrap Rate. Overall Equipment Effectiveness (OEE) may be the gold standard for measuring manufacturing productivity.
Sight Machine’s experts designed a digital model of the dairy plant’s entire production process.
The platform gathers data from various manufacturing sources—ERP, MES, historians—and standardizes it into a single data foundation.
We model data because we want to see the reality we otherwise can’t know. Through this process we are able to enable massive scale and depth.
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