Energy markets
Analyzes live HT tariffs, ToD windows, billing-demand floors, coincidence peaks, and kWh or kVAh billing where they apply. It identifies load flexibility before the tariff window closes or a higher MD is set.
Platform
The intelligence layer on the stack you already run
Turns live plant, bill, and operator context into rupee-scored prescriptions for the floor, with evidence on the action. Read-only. No hardware retrofit.
First prescriptions in weeks, from meters and bills already on site.
Your working view
One plant picture. Ranked next actions. Operators in control.
See what is happening, decide what matters, and move the right action to the floor.
Plant graph
Consumption, assets, production context, tariffs, and operator inputs on one live view. Follow a demand peak back to the loads and shifts that caused it.
Alarms and prescriptions
Alarms show what changed. Prescriptions add what to do, who owns it, and rupee impact. Ranked, assigned on WhatsApp, with evidence on the dashboard.
Agents
When load, tariff, maintenance, and production conflict, agents assemble a feasible prescription. Operators accept, reject, or adjust. Chat is evidence-bound. No PLC writes.
Plant and economic models
Models built around the way your plant runs
These models use your plant baselines and DISCOM structure to rupee-score each move. Weather, humidity, and product specifications are operating constraints inside the move, not separate products.
Efficiency
Continuously identifies idle load, specific energy drift, utility waste, and equipment running outside the plant’s normal operating envelope. It separates avoidable energy from the load required to meet production.
Equipment
Detects changes in power draw, duty cycle, starts, trips, and operating patterns. It relates each deviation to energy cost, equipment condition, and process risk before ranking the next check or intervention.
Production context
Analyzes shift, batch, holding, utility timing, and dispatch commitments before recommending an energy move. Product specifications, storage limits, and production deadlines can block one option and force a feasible alternative.
Core capabilities
A technical stack built for live plant decisions
Stamped connects read-only to the systems and data you already have. It runs without a hardware retrofit and leaves plant control with your team.
StampedRead-only
Meters
SCADA
DISCOM bills
Tariff
ERP
Operators
Connect and normalise
Ingest meter streams, SCADA tags, bills, tariff schedules, ERP context, and operator inputs. Standardise timestamps, units, tag names, intervals, and data quality before analysis begins.
Common timeline
Assets
Feeders
Shifts
Batches
Tariffs
Context and time alignment
Link assets, feeders, utilities, shifts, batches, tariffs, and operating states on a common timeline. Preserve the relationships between what changed, where it changed, and what else was running at that moment.
Scored move
Stagger compressor 1 startup
Feasible · Shift B
₹ 0.6L / month
Shed HVAC blocked · production window
Rupee-scored against ToD and MD
Decision intelligence
Build plant-specific baselines, detect deviations, test operating scenarios, and apply tariff and process constraints. Estimate economic impact, reject infeasible moves, and rupee-score the options that remain.
Verified with evidence
Expected vs observed
Assign, verify, improve
Route an accepted action to its owner and track its status through closure. Compare expected and observed outcomes, attach supporting evidence, and retain every acceptance, rejection, adjustment, and result in the audit trail.
The operating loop
Connect to Improve
The same operating loop runs each time plant conditions change.
How does Stamped Energy connect to my existing plant systems?
How are prescriptions delivered to the plant floor team?
How are energy savings verified with evidence?
- 01 Connect
Bring live plant signals, bills, tariffs, and operating context into one read-only layer.
- 02 Observe
Track demand, energy use, equipment behaviour, and production state against the plant baseline.
- 03 Decide
Rupee-rank feasible moves by economic impact, effort, and operating risk.
- 04 Execute
Assign the accepted action to the person who can carry it out.
- 05 Verify
Compare expected vs observed outcomes in an ops-cleared ledger.
- 06 Improve
Calibrate baselines and ranking from decisions taken and outcomes verified. Human-gated.
The shift
Keep what runs the plant. Add what closes the action.
Stamped works with the data, systems, and operating knowledge already present at the site.
What you already have
- Incomer meters and sub-meter data
- SCADA tags and historian records
- ERP plans, shifts, batches, and dispatch context
- DISCOM bills, tariffs, and demand rules
- SOPs and people who understand the plant
What Stamped adds
- One time-aligned view of plant and economic context
- Plant-specific baselines for load, efficiency, and equipment
- Feasible actions ranked by expected rupee impact
- Clear owners, effort, timing, and supporting evidence
- A tracked record from prescription to verified outcome
Time to first action
First prescriptions in weeks
Start with one site, using the meters and bills already available.
1 Week 1-2
Meter and bill live
Connect the incomer, available sub-meters, and current DISCOM bills. Reconcile timestamps, units, tariffs, and billing demand. Establish the first live plant baseline.
2 Week 3-4
First assigned actions
Run the models against live operating conditions. Issue the first rupee-scored prescriptions with an owner, effort, timing, expected ₹ impact, and evidence. Plant teams accept, reject, or adjust each action before execution.