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Energy Challenges in Steel Manufacturing
Steel production is inherently energy-intensive, with energy cost tightly coupled to profits. Even small deviations during operation quickly translate into higher energy losses and margin pressure.
30–40%
Share of energy in manufacturing cost
3–5%
Minor instability causes measurable energy loss
60–70%
Captive power energy Drives production margins
Actionable Energy Intelligence
The platform identifies and prescribes actions on where energy value typically sits across processes and utilities.
What You Gain
Prescriptive AI keeps furnaces and rolling processes within efficient operating windows, reducing avoidable energy loss during real production by 5–10%.
AI detects captive power generation inefficiencies early and prescribes corrections before small deviations escalate into sustained cost losses, reducing per-unit energy cost by almost 5%.
Actionable insights guide operators on what to adjust and when, reducing reliance on manual judgment and delayed interventions.
Continuous monitoring keeps SEC of large utilities such as pumps, compressors, cooling systems within efficient limits through prescriptive guidance, cutting unplanned utility downtime by 10–15%.
Case Studies
Asset Efficiency
From Energy Monitoring to Prescriptive Action at Enterprise Scale
Client & Context A leading Indian automotive and industrial conglomerate with operations spanning SUVs, commercial vehicles, tractors, engines,…
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Energy Mix
Governing Power Dispatch Decisions at Scale
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Renewable Efficiency
Protecting Renewable ROI at Enterprise Scale
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