Unified ingestion
Stamped
Unified graph
Connect
Start with meter + bill
Platform
Most plants already have meters and SCADA. The gap is analysis, root cause, and assigned fixes. Stamped delivers real-time intelligence on plant signals, detects waste and equipment issues, and guides operations on what to resolve, verified with evidence, then improved based on decisions taken.
Live interactive demo - click to explore the dashboard above.
The operating loop
01
Connect
Start with meter + bill
02
Observe
03
Decide
04
Execute
05
Verify
06
Improve
Unified ingestion
Stamped
Unified graph
Start with meter + bill
Production-normalized baseline
Anomaly: demand spike at shift start, 18% above baseline
Baselines that know your shifts
Prescription generated
What
Stagger compressor and press startup
Why
Simultaneous start caused MD spike
Impact
₹2.5-4L / month
Prescriptions in rupees
Action delivery & tracking
WhatsApp alert
Shift B · 06:42
New prescription assigned
Stagger Compressor 1 & Press Line 3 startup
Why: Simultaneous start caused MD spike at shift handover.
Impact: ₹2.5-4L / month potential savings
Owner: Plant Supervisor · Due: Today, 14:00
Tap to acknowledge →
Workflow status
WhatsApp to the floor
Potential vs. realized
Potential / month
₹4L
Realized / month
₹3.4L
Running ledger: ₹14L verified since deployment
Evidence before the next cycle
Followed vs ignored
Followed
Rx cleared
Strengthen pattern
Ignored
Reason coded
Retune or deprioritise
Improve
Calibrate thresholds and preferences, not “AI learning about you”
Next month's ranks refresh from cleared outcomes, human-gated
Improve based on decisions taken
Unified ingestion
Stamped
Unified graph
01
Start with meter + bill
Production-normalized baseline
Anomaly: demand spike at shift start, 18% above baseline
02
Baselines that know your shifts
Prescription generated
What
Stagger compressor and press startup
Why
Simultaneous start caused MD spike
Impact
₹2.5-4L / month
03
Prescriptions in rupees
Action delivery & tracking
WhatsApp alert
Shift B · 06:42
New prescription assigned
Stagger Compressor 1 & Press Line 3 startup
Why: Simultaneous start caused MD spike at shift handover.
Impact: ₹2.5-4L / month potential savings
Owner: Plant Supervisor · Due: Today, 14:00
Tap to acknowledge →
Workflow status
04
WhatsApp to the floor
Potential vs. realized
Potential / month
₹4L
Realized / month
₹3.4L
Running ledger: ₹14L verified since deployment
05
Evidence before the next cycle
Followed vs ignored
Followed
Rx cleared
Strengthen pattern
Ignored
Reason coded
Retune or deprioritise
Improve
Calibrate thresholds and preferences, not “AI learning about you”
Next month's ranks refresh from cleared outcomes, human-gated
06
Improve based on decisions taken
Core capabilities
Four platform layers - from universal ingestion through closed-loop governance - sized for SME manufacturers.
Captures signals from meters, SCADA, PLCs, and utility bills into a continuous, real-time pipeline - without hardware retrofits or changes to your control systems.
Organises disparate streams into a time-aligned graph that connects consumption, production, and cost for accurate analytics across your plant.
Prescription
Stagger Compressor 1 & Press Line 3 startup
Root cause · High effort · Shift B
Est. ₹3.5L / month
Domain-specific models detect anomalies, quantify impact in rupees, and generate prescriptions your plant team can act on - not another passive dashboard.
Verified savings
Potential → realized
Assigns actions, tracks execution via WhatsApp and dashboard, and verifies potential vs. realized savings so every opportunity converts into measurable value.
Deployment path
Week 1-2
Baselines and first MD / tariff prescriptions.
Week 3-4
Supervisor tasks on WhatsApp. Execution tracked.
Month 2
SCADA / PLC where available. SEC by process.
Month 3+
M&V complete. Numbers for plant head and CFO.
Next step
We estimate addressable waste and outline a pilot, only if the numbers justify it.