Use Cases

Built for the people who
answer for every kilowatt

Four roles, one platform — each gets their own dashboards, their own answers, and numbers they can defend.

Energy / Plant Manager

Ask your data where you’re wasting energy — get an answer in seconds

You know the audit findings are somewhere in the readings. Instead of exporting CSVs and building pivot tables, ask. The AI checks your meters against baselines and BEE/ASHRAE benchmarks and shows exactly which equipment drifts, when, and what it costs.

  • Equipment efficiency tracked continuously — compressors, chillers, lines — not once a year at audit time.
  • 66 ready-made analytics: consumption, power quality, OEE, water/steam/air.
  • Alerts when demand creeps toward contract limits — before penalties, not after.
Where can we save energy?
Top three opportunities this month: Compressor #2 idle-load running (610 kWh/wk), HVAC schedule vs. occupancy mismatch on Sundays, and PF penalty risk on Line 2 (0.87 avg). Full breakdown with costs below.
tablechartSQL
CO₂ emissions — quarter to datefrom meters
Scope from energy
312 t
vs target
-8%
Savings YTD
126 t
MarAprMayJunJulAug
Head of Sustainability / ESG

Carbon accounting straight from your meters, not spreadsheets

Quarterly reporting shouldn’t mean chasing plant teams for CSV exports. Nerqon computes CO₂ from the same live energy data your dashboards use — with configurable emission factors and savings calculations that hold up to scrutiny.

  • Emission tracking with configurable factors, plus water and waste sustainability metrics.
  • Scheduled PDF/Excel reports — your reporting pack generates itself, every period.
  • Targets tracked continuously, so year-end has no surprises.
IT / OT Manager

100% on-premise — even the AI runs on your server

Cloud analytics on an OT network is usually a non-starter — and rightly so. Nerqon is the tool you can actually approve: Docker containers inside your perimeter, LDAP/AD login, role-based access, audit logs, and an AI with hard read-only guarantees.

  • No data egress: no cloud APIs, no external AI calls, air-gapped operation supported.
  • AES-256 encrypted credentials, JWT auth, row-level security in the database.
  • Low integration effort: 25+ connectors with real handshake testing — deployed in under 15 minutes.
The security review, answered
Data leaves network?Never
AI model locationon-prem container
IdentityLDAP / AD + RBAC
Chatbot DB accessread-only, enforced
Audit trailfull logs
Internet at runtimenot required
Full security & deployment details
Cost forecast — next 30 daysProphet
Forecast cost
₹12.6 L
Peak demand
438 kW
Demand-charge risk
2 days
Operations Director / CFO

Catch anomalies before the bill arrives

Energy is one of the few large costs you can see coming — if you forecast it. Nerqon predicts consumption, cost and peak demand from your own history, flags demand-charge risk days in advance, and puts the ROI case in numbers.

  • 7–90 day forecasts of kWh, cost and peak demand with confidence bands.
  • Anomaly alerts on spend metrics — a misbehaving machine shows up in days, not on next month’s invoice.
  • Predictable software cost too: self-hosted license, no per-token AI fees, no usage meters.
Where It Fits

Anywhere energy is measured and paid for

Manufacturing Plants

Meters, PLCs and historians already speak Modbus/OPC-UA — connect them and see cost per line, shift and product.

Commercial Buildings

BACnet/IP connects your BMS; HVAC schedules meet occupancy reality, and tenants get defensible numbers.

Multi-Site Operations

Campuses, chains and clusters — row-level security gives each site its own view, leadership sees the whole picture.

Energy Auditors & Consultants

Stand up a client’s data in minutes, benchmark against BEE/ASHRAE, and hand over an EMS instead of a PDF.

Which of these is your job?

Tell us your role and your systems — we’ll shape the demo around the questions you actually have to answer.