12-20%
Typical electricity cost reduction
Process-intensive mid-market plants
Industries
Industries we serve
Purpose-built AI-powered energy intelligence for energy-intensive sectors - prescriptions with rupee impact, verified on your DISCOM bill.
15-25%
MD / demand charge reduction
From incomer meter + bill data
5
Industry verticals live
Automotive, cement, steel, pharma, chemical
How we fit your plant
Process context, not generic kWh dashboards
01
Baselines by shift, batch, and line
SEC and MD tracked against production context - pour times, batch windows, kWh/ton - not plant-wide averages that hide the leak.
02
Prescriptions your supervisors recognise
Shift-start staggering, holding schedule changes, dispatch governance - assigned roles and monthly ₹ impact.
03
Verified on the DISCOM bill
Closed-loop M&V so plant director and CFO see realised ₹, defensible for PAT and internal cost reviews.
Industry verticals
AI-powered energy intelligence by sector
Each vertical gets process-aware baselines, actionable prescriptions, and bill-verified savings. Built for plants with ₹20 lakh+ monthly electricity bills.
Automotive
AI-led energy control for automotive manufacturing
Automotive
AI-led energy control for automotive manufacturing
AI enables automotive manufacturers to control energy-intensive operations and utilities at scale, directly influencing cost stability, uptime, and long-term operational competitiveness.
Browse verticals
Select a vertical to explore
Five industry verticals with plant-floor playbooks. Hover to preview process segments where available.
Automotive overview
View all →AI-led energy control for automotive manufacturing
Proof & insights
Case studies & industry insights
Published outcomes and field notes from energy-intensive manufacturing, starting with automotive-adjacent process plants.
BlogBlog
Why advanced chemical plants need an energy decision layer, not another dashboard
Large batch chemical sites in India already run historians, EMS, and sustainability programs. The missing layer is governed decision layer leveraging AI .Stamped helps leadership close that gap.
Read: Why advanced chemical plants need an energy decision layer, not another dashboard →
BlogBlog
Why cement is not a generic "energy dashboard" problem
Cement leadership already tracks SEC and runs EnMS. What most plants lack is governed shift-level decisions- dispatch, MD, and mill SEC drift -verified in rupees when the DISCOM bill lands.
Read: Why cement is not a generic "energy dashboard" problem →
Field pilotCase study
Automotive & pump manufacturing: 18% SEC reduction
16 verified measures across compressors, furnaces, and shift-start sequencing, IPMVP-style M&V with ₹12-34L monthly energy savings (reference benchmark).
Read case study: 18% SEC reduction in auto component plant →Start with your plant
Not sure which vertical fits?
Discovery call: we map your meters, main loads, and bill pattern - and say honestly if a pilot makes sense.