Trusted by Industry Leaders
Energy Challenges in Chemical & Paints Manufacturing
Chemical and paint plants operate energy-critical batch and continuous processes where heat, mixing, and separation dominate consumption, requiring tight control to avoid excess energy use while maintaining safety and product stability.
10–20%
Share of energy in manufacturing cost
20–40%
Plant energy consumed by utilities
50–60%
Thermal Energy share complicate energy control
Actionable Energy Intelligence
The platform identifies and prescribes actions on where energy value typically sits across processes and utilities.
What You Gain
Energy stays within defined operating bands across continuous operations, with AI prescribing adjustments to prevent drift, reducing SEC by 8–12%.
AI identifies energy inefficiencies caused by conservative process over-design in heating, cooling, and purging, locking in 5–10% energy savings without impacting safety or throughput.
Small deviations are surfaced early, with AI recommending corrective actions before they compound into sustained losses.
Stable energy behavior improves run consistency and planning confidence, enabling 10–15% more predictable energy costs across shifts and units.
Case Studies
Enterprise Benchmark
Optimising Global Cross-Factory Production Through Energy Intelligence
Client & Context Jotun is a Norway-headquartered global manufacturer of decorative paints, marine coatings, protective coatings, and powder…
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Unit Economics
Stabilising Energy Intensity in Continuous Textile Manufacturing
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Asset Efficiency
From Energy Monitoring to Prescriptive Action at Enterprise Scale
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