Now you can solve some of your most pressing challenges…
…with insights hidden inside
your production data…
…to achieve real business impact.
Discover how a global Paper and Packaging company uses our platform to improve quality, customer satisfaction, and reduce energy use.
This manufacturer had an increase in customer complaints and no way to determine what was causing them. They also had high energy costs and a mandate to be more sustainable.
Utilizing the Sight Machine platform, they were first able to tie complaints in its customer systems with production data on the line to determine what SKUs or batches resulted in lower quality and higher complaints. They also used the platform to provide visibility into energy meter data and integrated this with step speed and machine data for specific orders or batches. This provided an unprecedented view into energy costs.
Unlock Business Insights Hidden in Your Data. With the One Platform that Can Actually Do it.
The Sight Machine platform is an analytics breakthrough that harnesses AI and machine learning to acquire, blend, and contextualize all your data — and model it into an in-depth digital twin of your entire production process. Sophisticated analytics are then applied to deliver actionable insights.
Changing Changeovers for Maximum Efficiency, Minimal Scrap.
The Sight Machine platform puts an end to on-the-fly guesstimates and excessive changeover-related scrap.
For each paper grade, our AI-driven software analyzes historical run data, correlates relevant environmental and materials input, and supplies recommended settings to ensure the highest quality, complete with upper and lower control limits.
Preventing Downtime Before It Happens.
Sight Machine algorithms assess recent sheet-break event data for your selected paper grade — figuratively every input from every relevant machine.
Parameters are automatically ranked in order of variance ten minutes before the break, pinpointing downtime causation plus actionable measures to prevent recurrence.
All without guesswork, manual data pulls, or the need for meticulous, time-intensive human analysis.
Eliminating Problems at the Root.
The Sight Machine platform analyzes workflow events such as dryer steam pressure swings for defined time intervals in the context of recorded outages, to identify parameters correlated with downtime.
No data wrangling required: the platform presents all data in whatever view, matrix, and context you specify.
Days or weeks of tedious numerical analysis are condensed into a few minutes of straightforward visual scrutiny.