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Energy & Utilities

Line inspections and PV analytics with fewer flights and faster findings.

Energy and utilities AI from Allerin is transmission line inspection, solar PV thermal monitoring and leak and flare monitoring from drone, helicopter and fixed thermal feeds, measured by inspection cycle time, recovered production and compliance reports filed.

Who is this for?

Transmission and distribution leads who own the patrol schedule, renewable asset managers who own the production number, and the compliance and safety teams who file the LDAR reports. It works with the drone providers and thermal cameras you already fly, and with SAP or Maximo on the back end.

What problem does it solve?

A full system patrol takes months because a person reviews every frame, and the frames that matter (corrosion, a hot connector, vegetation creeping into the clearance) are a fraction of a percent of the footage. On a solar site, an underperforming string hides inside an inverter total until the monthly production report, and by then the revenue is gone.

Leak monitoring has a regulator attached. The question is not whether the methane sensor fired but whether the report has the timestamp, the GPS point and the audit trail the LDAR rule asks for, and whether the alert that mattered was buried under the ones that did not.

How does it work?

GridAurex ingests drone and helicopter footage, finds corrosion, vegetation and hot spots, and puts them in route-based review queues ordered by priority; confirmed findings become EAM work orders with GPS coordinates. The model is trained on your historical footage first, so it learns your assets and not a generic catalogue.

HelioLytix maps hot spots and underperforming panels from thermal imagery to the string and the inverter, estimates the production impact, and orders maintenance by revenue loss rather than by panel count; the detection model runs at a 94 percent F1 score and hands findings to SolarEdge, Huawei and similar monitoring systems. ThermaSentinel detects methane and flare anomalies from thermal and OGI sensors, prioritizes by severity and regulatory risk, and writes the EPA and LDAR report with the timestamps, coordinates and audit trail already in it.

Precision depends on the sensor. Methane detection sits above 85 percent on good OGI resolution and lower on poor; we tune thresholds in the pilot and tell you the number for your sensors rather than the number from a brochure.

Quick wins

  • Line/tower/substation inspections (GridAurex)
  • Solar PV thermal anomaly detection (HelioLytix)
  • Leak/flare monitoring (ThermaSentinel)

Capabilities

  • CV
  • Analytics

Solutions for Energy & Utilities

  • ThermaSentinel

    Leak/flare monitoring with EPA/LDAR compliance

  • HelioLytix

    Solar PV thermal monitoring with IEC 62446-3 compliance

  • GridAurex

    Inspection footage, reviewed findings and maintenance records

  • VibraQore

    Predictive maintenance

What does it connect to?

  • Drone and helicopter platforms (DJI, senseFly and others), with standard TIFF and MP4 ingest
  • Thermal cameras (FLIR and others) for PV and leak detection
  • GIS for asset mapping and work orders
  • EAM and CMMS (SAP, Maximo) through REST APIs; solar monitoring systems (SolarEdge, Huawei)

How is it deployed, and how long does it take?

Everything can run on-prem with no cloud dependency, which is how critical infrastructure usually wants it; the data stays inside your network. Work orders are created automatically from anomaly severity and location, with the review queue in between so a person signs off before a crew is sent.

Proof of concept to pilot in 6 to 8 weeks for line inspections (starting from historical footage) and 4 to 6 weeks for solar PV (thermal baseline, first hot-spot report). Leak monitoring: 6 to 8 weeks to threshold tuning and the first compliance report.

Related products and services

Proven ROI

45% inspection time reduction
Regional utility using GridAurex for transmission line inspections
2-8% production recovery
Solar farm operators with HelioLytix identifying and prioritizing thermal anomalies for remediation

Frequently asked questions

Yes. GridAurex and HelioLytix integrate with major drone platforms and thermal cameras (FLIR, DJI, etc.). We ingest standard formats (TIFF, MP4, etc.).
We integrate with SAP, Maximo, and other EAM systems via REST APIs. Work orders are created automatically based on anomaly severity and location.
HelioLytix achieves 90-95% accuracy on hot-spot detection in solar PV. ThermaSentinel methane detection varies by sensor resolution but typically >85% precision.
Absolutely. All processing can run on-prem with no cloud dependency. Data stays within your infrastructure and control.
For line inspections: 6-8 weeks (PoC with historical footage). For solar PV: 4-6 weeks (thermal baseline, first hot-spot report).
ThermaSentinel generates automated reports aligned with EPA/LDAR requirements, including alert timestamps, GPS coordinates, and audit trails.

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