12–20%
Off your monthly electricity bill
Process-intensive die casting, forging, heat treatment
Prescriptive energy intelligence for manufacturers
AI Energy IntelligenceTurn Data Into Verified Savings
Connect existing plant data. Get rupee-denominated prescriptions. Verify savings on your next bill.
Process-intensive manufacturing
Prescriptions tied to furnaces, compressors, and shift-start demand, verified on your next bill.
For plant heads, owners, and electrical HODs
- Connects to incomer meters and existing SCADA. No hardware retrofit.
- Actions on WhatsApp to supervisors who can execute tomorrow morning
- Pilot first. One verified saving on the bill before annual commitment.
Typical recovery ranges
Numbers that must appear on the bill, not in a slide deck
Benchmark ranges from comparable plants. Your pilot replaces these with verified figures.
15–25%
Off maximum demand charges
Often from incomer meter + bill data alone, no capex
10–20%
Non-production energy flagged
Idle loads, holding furnaces, leak air within 90 days
3–6 mo
Subscription paid back from savings
Target payback once prescriptions are executed
Why the bill keeps winning
You have the data. Nobody closes the loop.
01
SCADA, PLCs, and bills never meet
Incomer kW, furnace states, and shift schedules sit in separate systems, so nobody sees the same picture when the MD spikes at 07:15.
02
The bill arrives after the waste is gone
You know shift-start overlap costs money. Without a rupee figure tied to Compressor 1 and Furnace 2, it stays a gut feel, not a maintenance ticket.
03
Good ideas die before the next bill
Stagger startups, fix holding schedules: discussed in meetings, never tracked, never checked against what the incomer meter actually did.
The closed loop
Connect → find the leak → assign the fix → check the bill
Same cycle every month: your existing infrastructure in, rupee prescriptions out, savings verified when the DISCOM bill lands.
01 · Connect
Incomer meter, utility bills, then SCADA and PLCs you already run. No retrofit program.
02 · Observe
Baselines by shift, batch, and tariff window, so a spike on Monday 07:15 is tied to production, not guesswork.
03 · Decide
Specific actions: what to change, why the data shows it, who owns it, monthly ₹ if done.
04 · Execute
Work items on WhatsApp to supervisors. Open → done. Nothing buried in a report.
05 · Verify
Post-action consumption vs baseline. Running ledger: verified ₹ saved since go-live.
Full walkthrough with plant diagram on How it works.
Not a dashboard
This is what your maintenance team gets, not a kWh chart
Same format your maintenance supervisor receives on WhatsApp, asset, reason, owner, monthly rupee impact.
Sample prescription
Open- What
- Stagger Compressor 1 and Press Line 3 startup by 10 minutes each shift
- Why
- Incomer demand hit 1,240 kVA at 07:15 Monday. Both assets ramped together with zero production load.
- Who
- Electrical maintenance / shift supervisor
- Effort
- Scheduling change only. No capital spend.
- Impact
- ₹38,000/month at current tariff and shift pattern
- When
- Before next billing cycle. MD resets monthly.
How it works
Five steps from your existing meters to verified ₹ on the bill
01
Connect what you already run
Incomer + bills first. SCADA, PLCs, and production data as available.
02
Baseline normal for your plant
SEC and demand by shift, process, and product mix, not generic benchmarks.
03
Flag deviations in rupees
MD spikes, holding loads, idle compressors, tariff misalignment, quantified monthly.
04
Assign fixes to your team
What, why, who, effort, ₹ impact tracked until done.
05
Confirm on the next bill
Potential vs realised savings. Defensible for plant head and OEM audits.
Your processes
Die casting, forging, heat treatment, rubber: where utility cost hits margin
Starting with auto component suppliers in the NCR belt. Same approach applies wherever furnaces, compressors, and shift-start sequencing drive the bill.
Why Stamped
Enterprise EMS tools were not built for your plant size
Tells your team what to do tomorrow
Not "energy is high." Instead: stagger Furnace 2 by 10 minutes, assign to electrical maintenance, ₹1.2L/month.
Pilot before annual commitment
Low-fee pilot or pay-as-you-save on first verified month. You see ₹ on the bill before you scale spend.
Uses infrastructure you already paid for
Incomer meter, SCADA, PLCs, CNCs connected without a hardware retrofit program.
Reaches supervisors on WhatsApp
Prescriptions go to people who can act, not a screen only the plant head opens once a month.
On the shop floor
Actions reach supervisors, not another login
Your electrical and maintenance teams get what to fix, why the data shows it, and how many rupees are on the line. Plant head sees what closed and what saved.
Furnace holding, shift-start overlap, compressor unload: the patterns your bill already hints at
Who builds this
Electrical engineering depth. Prescriptions in rupees, not slides.
Founded by an IIT Roorkee electrical engineering graduate with research in energy systems. Built for plant heads who need verified outcomes on the DISCOM bill, not another monitoring layer.
Proof & insights
Case studies & industry insights
Published outcomes and field notes from energy-intensive manufacturing, starting with automotive-adjacent process plants.
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 more →BlogBlog
Why shift-start kills die casting margins
Furnace pre-heat overlap, holding loads, and the MD spike your incomer meter sees every morning.
Read more →BlogBlog
Weekend furnace holding: the silent cost
How batch heat treatment plants lose 15–25% of furnace energy with no parts scheduled.
Read more →Verify energy savings before you commit
Begin with a pilot on your existing meters and plant data. We quantify outcomes in rupees and confirm them on your next electricity bill before annual subscription.