Four things a generic energy dashboard does not give you
MSEDCL-native tariff logic
Demand ratchet, TOD slabs and PF penalties are built in from day one, not bolted on later.
AI that works while you sleep
No dashboard to babysit. Models scan every meter 24×7 and surface ranked ₹ opportunities on their own.
Proof, not promises
Independent before/after M&V on every intervention, so the saving is defensible to your CFO or auditor.
Zero risk to start
Free 30-day energy health check. If we find nothing meaningful, you walk away at no cost.
If you cannot answer these, you are leaving ₹ on the table
Think of every factory as a leaking bucket, except the leak is electricity. Compressors run through tea breaks, machines idle between shifts, power is bought in the most expensive hour of the day, and demand crosses what you contracted. None of it shows up as a red flag. It adds up quietly inside one number on the bill.
Energy intelligence makes that invisible waste visible, and acts on it, using AI instead of a once-a-year manual audit.
From data to ₹ savings in 30 days
Your free assessment turns electricity bills and plant data into a verified savings roadmap, at zero risk.
Upload bills
Last 12 months of bills, contract demand and tariff category.
Tariff review
MSEDCL HT experts analyse demand, ratchet, TOD and PF.
Plant walk-through
Compressors, chillers, furnaces and pumps on site.
30-day monitoring
Meters connect over Modbus or MQTT; the live stream begins.
AI finds waste
Anomalies, idle loads, demand peaks and efficiency drops.
₹ savings report
Detailed ROI per action, before any investment.
A live view instead of a month-end surprise
Load, demand, power factor and cost refresh continuously. Tariff zones sit behind the load curve, so the team can see when expensive power is being bought. A dashed line shows the demand level that would raise the ratchet for the next eleven months.
- Live load, demand and power factor on every meter
- TOD zones and cost-to-date for today
- Real-time alerts on WhatsApp and email
- Equipment health scorecard
- Multi-site benchmarking for HQ
Every rupee of waste, ranked and ready to act on
The AI ranks opportunities by ₹ impact, confidence and ease of implementation, using your actual tariff. It tracks the MSEDCL demand-ratchet clause (75% of the highest of the preceding 11 months) automatically.
| Opportunity | Evidence | ₹ / month | Action | Effort |
|---|---|---|---|---|
| Compressor idle running | 2 hrs/shift · 3 units | ₹1.40 L | Auto shutdown | Low |
| Demand peak management | CD at 97% · ratchet risk | ₹2.10 L | Load sequencing | Low |
| Chiller COP degraded | Chiller-01 efficiency −9% | ₹0.80 L | PM inspection | Medium |
| TOD peak tariff exposure | Production shift 5–9 PM | ₹1.90 L | Shift batch loads | Low |
| Power factor penalty | PF 0.88, below threshold | ₹0.90 L | Capacitor bank | Medium |
| Total identified opportunity | ₹7.10 L | per month | ||
Sample: 850 kVA plant with an ₹18 L monthly bill. Illustrative figures.
Not a dashboard. A daily energy manager.
Every morning before the first shift, the plant head receives a brief: what changed, what it costs, what to do, and whether yesterday's fix actually saved money.
Start with what your plant needs today
Three tiers that grow with your energy maturity, from visibility to verified savings.
Know where your energy goes
Real-time visibility into consumption, demand, power factor and TOD.
- Modbus / MQTT meter integration
- Live energy dashboard
- Demand and peak monitoring
- Power factor tracking
- TOD analysis and alerts
- MSEDCL tariff intelligence
- PDF and WhatsApp reports
- Multi-meter, multi-site
Find where money is wasted
Everything in Visibility, plus AI that finds, ranks and values savings in ₹.
- AI anomaly detection
- Idle and ghost-load detection
- Demand prediction and ratchet guard
- Equipment efficiency scoring
- Savings Opportunity Engine
- ₹ impact per opportunity
- Recommendations with confidence
Prove your savings
Everything in Savings, plus measurement and verification.
- Baseline establishment (IPMVP)
- Before and after M&V
- Verified savings certification
- Monthly savings report
- Management KPI dashboard
- Multi-site benchmarking
- Sustainability and ESG reports
Don't just save energy. Prove you saved it.
Establish baseline
Consumption, demand and cost normalised for production and season.
Make the change
VFD, auto-shutdown, load sequencing, capacitor bank or chiller PM.
Monitor after
Same meters, same AI, every kWh and ₹ tracked.
Verified report
Monthly certified saving, % reduction and payback.
Illustrative example. Actual results depend on plant, tariff and practices.
A funding window that fits what we deliver
The Bureau of Energy Efficiency's ADEETIE scheme helps MSMEs adopt energy-efficient technology across 60 industrial clusters and 14 sectors, including foundry, forging, food processing, pharma, chemicals and textiles.
It covers energy audits, project planning, technology identification, monitoring, verification and financing support. Plantelligence's monitoring, AI savings identification and M&V reports map directly to its monitoring and verification requirements, making us a natural digital partner for auditors, ESCOs and MSMEs in the scheme.
60
industrial clusters
14
energy-intensive sectors
3 yrs
FY26 to FY28 window
What could your plant save?
Savings usually come from demand and TOD tariff management, idle and off-shift load, equipment efficiency and power-factor correction.
Indicative only. Assumes ₹9 per kWh and 0.71 kg CO₂ per kWh of grid power. A free 30-day health check replaces this with your real numbers.
Get my real numbersEnergy intelligence in plain terms
Do we need to replace equipment or install something complicated?
No. The approach is retrofit-first: your existing meters, bills and monitoring are the starting point. Where sensors are needed they sit alongside equipment, without a shutdown.
How is this different from an annual energy audit?
An audit is a photograph of one day. This is a continuous video that catches the drift between audits, when a bearing starts to wear or a setting quietly changes. It gives the auditor's judgement something to work with every day.
How does the AI know where the waste is?
It compares what should be happening with what is happening. If a machine normally draws a certain load during a shift and suddenly draws power at 2 a.m., that is a signal. Across every meter and every hour, it notices what a quarterly check cannot.
What savings are realistic in rupee terms?
Typically 7–20% of the energy bill depending on sector. For a plant spending lakhs a month, that often funds the project within the first year.
What is the typical payback?
Most fixes, such as stopping idle running, correcting power factor and re-timing loads away from peak hours, are operational, so payback is often within one or two billing cycles.
Find out what your plant is losing every month
Free 30-day energy health check. Our engineers show you the opportunity before you invest a rupee.