Find the highest-value energy and resource opportunities.
Stamped Energy
Stamped Energy
Applied AI for verified industrial energy efficiency
From plant data to actionable decisions, measured savings, and verified energy performance.
Plant data → decisions → verified energy performance.
Support plant teams in implementing practical interventions.
Measure whether savings and intensity improvements actually occurred.
Not another energy dashboard. A decision-and-verification system for industrial efficiency.
Where Stamped creates value
Your plant already has signals. What is missing is one safe decision with an owner and a proof point.
On a forge to T6 to finishing campus, energy waste often sits in hot waiting, under-loaded cycles, thermal drift, and station handoffs. Stamped turns those moments into manufacturing decisions that protect quality and delivery.
Without Stamped
- Events stay in reports, meetings, or local knowledge
- Action may arrive late, or not at all
- Hard to prove whether the intervention worked
With Stamped
- One recommended action, with a clear owner
- Human feedback before the plant commits
- Close only when the agreed signal moves
Fewer avoidable hot waits
Empty furnaces and ready assets should not burn energy while the next station is not ready.
Recipes stay protected
We never recommend cutting soak, quench, Type III dwell, or powder cure. Live charges stay do-not-disturb.
Evidence for the owner
Every action carries a verification method: state clock, matched baseline, or agreed production signal.
How the technology works
Six steps from plant signal to verified decision, with human feedback in the loop.
Stamped does not replace production, quality, metallurgy, or electrical ownership. It recommends, waits for confirmation, and improves from what the plant tells it.
1
Observe
Read the plant signal: furnace state, charge readiness, handoff time, or matched energy intensity.
2
Understand
Compress the pattern into one issue worth acting on, not a wall of alerts.
3
Add context
Bring in recipe, delivery window, lot compatibility, and live-job constraints.
4
Decide
Recommend only what is safe: timing and loading moves, never recipe cuts.
5
Human feedback + assign
The plant confirms or corrects: planned stop, incompatible lot, wrong owner, or live-job conflict. Then the action is assigned.
6
Verify and improve
Close on evidence. Accepted, rejected, and corrected actions refine the next recommendation.
Human feedback examples: “this stop was planned,” “these lots are not compatible,” “send this to HT, not the setter,” or “do not move this start; the truck window is locked.”
Prescriptions 1 and 2 · heat treatment
Two decisions the plant can take without touching the recipe.
Flip each card for what we notice, how we verify, and the hard constraints.
Prescriptions 3 and 4 · drift and handoffs
Catch same-output energy drift. Stop ready assets from waiting hot on the next station.
Prescriptions 5 and 6 · continuity and Type III
Protect live work. Stop expensive finish power from running empty or under-loaded.
Flip each card for the decision, owner feedback, and verification.
How the plant receives the decision
One action on the phone. Human feedback before it becomes work.
The same empty-versus-charged decision, assigned to the owner who can act. Acknowledge, correct, or escalate before it becomes plant work. The card below is illustrative.
One action card. Human feedback. English or Hindi.
HT supervisor and production see one clear action: delay empty heat-up until the next charge is confirmed ready.
Acknowledge, Done, or Escalate. Corrections such as "charge not ready yet" or "JIT locked" refine the next recommendation.
Use the English / Hindi control inside the phone to show how the same action reaches the owner.
Illustrative workflow. Not measured Bhatia telemetry. No automatic furnace commands.
10:42
5G
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SE
Stamped Energy
online
Today · assigned action · 1/2
Rx · High
Align empty-furnace heat-up with the next confirmed charge.
Why: Empty furnace reached soak temperature before the next charge was confirmed. That is hot idle with no metallurgy in progress.
Impact: Cut avoidable hot wait; rupees after furnace meter or bill attribution
Owner: HT supervisor · production confirms charge readiness
Do: Shift empty-asset start later so temperature arrives with confirmed load readiness
Verify: Setpoint-to-charge minutes fall, or JIT reason is recorded
Due: Before the next empty heat-up
10:42
Stamped Energy
Inbox clear for this shift
+
Message
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Prescription 5 · energy-aware scheduling
Schedule flexible work with energy in the room - same tonnes, better peaks, clearer sustainability path.
Stamped coordinates known flexible windows across forge, T6, finishing, and CNC so coincidence and empty hot time fall. Same delivery locks. Same recipes. Production still owns the plan. You gain a practical lever for intensity and sustainability goals OEMs already ask about.
Energy-aware scheduling of flexible starts. Same tonnes. Same JIT. Better peaks and intensity.
Energy-aware production coordination
Flexible starts and empty thermal recovery should not stack peaks or buy empty hot time across forming, heat treatment, finish, and first-wave CNC. We help stagger the work the plant already knows is movable.
What can move
- Empty furnace heat-up
- Empty oven recovery
- Flexible CNC first-wave
- Empty-tank idle between proven empty cycles
Sustainability and intensity
Help the campus schedule so SEC / EnPI and responsible-growth targets move with real operations, not only with solar or hybrid supply. Sacred loads stay sacred: live soak, live hard coat, loaded powder cure, flagged JIT.
Same tonnes. Same recipes. Coordination of known windows, not a replacement scheduler. Rupees after your bill and clocks.
Practical next step
An offline working deployment on one line, or a demonstration on historical data.
No broad rollout ask today. Choose one operational line or one historical process dataset, test one safe decision with human feedback, and verify the result on a clock, meter, or agreed production signal.
Access to one line or historical state logs, a named HT and production owner, and clarity on which lots are flexible versus JIT-locked.
One practical prescription, an owner-visible workflow with human feedback, and evidence of whether the action helped.
A working walk with HT and electrical. Agree the first asset class, the falsifier, and whether we start live or from historical data.
Industry Energy Management on the stack you already run. Not another collector. Not automatic furnace commands.
stamped.work · Bhatia Alloy · Faridabad owner brief
An emerging frontier in industrial AI
Stamped Process
AI-assisted process engineering for better, faster, repeatable manufacturing decisions.
A second application of the Stamped philosophy: turn engineering knowledge into evidence-backed process decisions.
Engineering context
- Drawings and process documents
- Machine capability
- Tooling and fixtures
- Material and quality needs
- Production experience
AI-assisted reasoning
- Understand the operation
- Compare process alternatives
- Find missing information
- Evaluate tooling options
- Recommend the next decision
Manufacturing outcomes
- Lower cycle time
- Lower cost per accepted part
- Improved tool life
- Reusable engineering knowledge
Engineers retain high-value decisions. AI improves engineering quality, speed, and repeatability.
Early direction · Initial wedge: tooling and manufacturing configuration