Breakthrough Analytics for Energy, Chemicals, & Resources (ECR) Production

Now you can solve some of your most pressing challenges…

Equipment availability
and downtime

Sight Machine

Maximizing raw
material utilization

Identify Critical Breaks

Decreasing energy consumption
and carbon footprint

Breakthrough Analytics for Energy, Chemicals, and Resources (ECR) Production

…with insights hidden inside
your production data you can…

Breakthrough Analytics for Energy, Chemicals, and Resources (ECR) Production

Maintain uptime

Continuous asset health monitoring, anomaly detection, and predictive analytics.

Improve efficiency
and quality

Optimize process control through machine learning.

Minimize energy use

Recommend process configurations.

…to achieve real business impact.

PRODUCTION OPTIMIZATION:

Sight Machine

7% reduction

in cycle times

FINANCIAL IMPACT:

Sight Machine

Millions of $’s

per plant

Asian Paints used a Plant Digital Twin to Reduce Cycle Time

Sight Machine’s platform created a digital twin of the entire production process that captured the interdependencies in production process.

By applying analytics to the digital twin data, the team was able to optimize line performance to improve cycle time and output delivered by millions of dollars per plant.

 
Industry Snapshot:

Learn how Sight Machine addresses the challenges facing ECR manufacturers.

Case Study:

Now you can solve some of your most pressing challenges…

Stay informed by reading our latest blog posts.

Unprecedented Results:

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.

Downtime Root Cause Attribution — By addressing these bottleneck processes in Sight Machine, the bottler was able to identify $10M impact for all production lines.

Downtime Root Cause Attribution — By addressing these bottleneck processes in Sight Machine, the bottler was able to identify $10M impact for all production lines.

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.

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.

Downtime Root Cause Attribution — By addressing these bottleneck processes in Sight Machine, the bottler was able to identify $10M impact for all production lines.