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.
AI and Machine Learning for manufacturing.
“By standardizing unstructured plant data on Sight Machine’s industrial data platform and combining it with machine-level electricity consumption information, LS ELECTRIC is able to optimize both energy use and production, leading to a 20% reduction in power use on some manufacturing lines.”
Assessing Your Data’s Readiness We engage daily with global manufacturers looking to better use production and related data to predict
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.
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.
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.
Why manufacturing and production teams struggle to communicate challenges to design teams to convince them to change the design.
Why manufacturing and production teams struggle to communicate challenges to design teams to convince them to change the design.
Manufacturing and operations executives now must be able to access and visualize critical data about their plant operations remotely – anytime, anywhere.
Over the past decade, productivity improvement has stagnated as many manufacturers reach a limit on the benefit of traditional continuous improvement.Now, as the shop floor becomes digital, a whole new world of data and insights are unlocking CI to reignite manufacturing productivity.
Over the past decade, productivity improvement has stagnated as many manufacturers reach a limit on the benefit of traditional continuous improvement.Now, as the shop floor becomes digital, a whole new world of data and insights are unlocking CI to reignite manufacturing productivity.
Over the past decade, productivity improvement has stagnated as many manufacturers reach a limit on the benefit of traditional continuous improvement.Now, as the shop floor becomes digital, a whole new world of data and insights are unlocking CI to reignite manufacturing productivity.
Over the past decade, productivity improvement has stagnated as many manufacturers reach a limit on the benefit of traditional continuous improvement.Now, as the shop floor becomes digital, a whole new world of data and insights are unlocking CI to reignite manufacturing productivity.
Over the past decade, productivity improvement has stagnated as many manufacturers reach a limit on the benefit of traditional continuous improvement.Now, as the shop floor becomes digital, a whole new world of data and insights are unlocking CI to reignite manufacturing productivity.
Over the past decade, productivity improvement has stagnated as many manufacturers reach a limit on the benefit of traditional continuous improvement.Now, as the shop floor becomes digital, a whole new world of data and insights are unlocking CI to reignite manufacturing productivity.
In manufacturing, obtaining insights from production data can deliver transformational improvements in efficiency and quality. In fact, IDC predicts that
This is an necessary category.
This is an non-necessary category.