Trusted by Industry Leaders
Energy Challenges in Heavy Industry
Energy-intensive plants such as die casting, forging, heat treatment, and molding operate process-heavy equipment where energy quantum and energy cost directly expose thin margins. Limited real-time visibility at furnace, machine, and utility levels makes per-piece cost control difficult and allows inefficiencies to persist across shifts and assets.
30–40%
Share of energy in total manufacturing cost
60–70%
Energy consumed by common utilities and shared services
5–15%
Per-piece cost variation driven by energy quantum and cost
Actionable Energy Intelligence
The platform identifies and prescribes actions on where energy value typically sits across processes and utilities.
What You Gain
Real-time selection of the most efficient energy source mix reduces overall energy cost by ~5%, directly protecting thin margins.
Live energy-to-output analytics convert consumption into per-piece cost signals, with AI directives to control variability across machines, shifts, and batches.
Continuous temperature-profile analysis surfaces insulation and thermal deterioration early, preventing silent energy losses.
Stage-wise SEC control and individual utility performance monitoring generate actionable alerts, improving reliability and preventing efficiency drift.
Case Studies
Unit Economics
Stabilising Energy Intensity in Continuous Textile Manufacturing
Client & Context Raymonds , A long-established Indian textile and lifestyle manufacturing group operates fully integrated textile businesses…
Know More
Asset Efficiency
From Energy Monitoring to Prescriptive Action at Enterprise Scale
Know More
Renewable Efficiency
Protecting Renewable ROI at Enterprise Scale
Know More
