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PowerRunner

#28 of 63 in Energy Analytics Software

PowerRunner: Connects utility data to grid, asset-health, forecasting and revenue analytics. Ranked #28 of 63 in Energy Analytics Software by our editors (6.1/10); pricing: Pricing on request; best for utilities combining grid data and asset analytics.

6.1/10Editor score
PowerRunner6.1 Visit PowerRunner

At a glance

  • Editor score
    6.1 / 10
  • Pricing
    Pricing on request
  • Best for
    Utilities combining grid data and asset analytics
  • Generation analytics
    Yes
  • Founded
    2007
  • Facts checked
    29 Sep 2026
  • Where it wins

    • Combines operational and IT data, including smart meter and SCADA data
    • Covers grid, transformer, asset-failure and load analytics
    • Integrates with utility systems including DMS, ADMS, OMS and GIS
  • Where it doesn't

    • Pricing requires contacting sales
    • Designed for enterprise utility needs
    • Web is the only listed platform

Our verdict on PowerRunner

PowerRunner brings data management and analytics together for electric, gas and water utilities. It connects operational and IT data, including smart meter and SCADA feeds, and supports analysis of data quality, grid operations, asset health, forecasting and revenue. Its scope suits utility teams that want to work across operational data and business analysis rather than focus on a single analytics task. The published fit is enterprise, so smaller organizations or teams seeking a narrowly scoped tool may find its breadth and buyer profile a mismatch.

The analytics span grid conditions, assets and energy flows. PowerRunner can validate data completeness, identify missing reads and non-reporting assets, and monitor transformer loading and asset health. Grid capabilities include voltage, fault location, event and alarm analysis, and network model analytics. It also supports asset-failure prediction and operational, planning and scheduling predictions. ForRunner is described as the energy forecasting module; RevRunner covers load, supply and revenue analytics. This breadth is relevant to utilities looking to connect operational signals with planning and revenue analysis, though buyers should assess which modules address their specific workflows.

Integration fit is a central consideration: listed connections include smart meters, SCADA, DMS, ADMS, OMS, GIS, CIS and AVEVA PI System. Deployment options include cloud and self-hosted, while web is the listed platform. According to the vendor's pricing approach, prospective customers need to contact sales rather than select a published plan. That makes PowerRunner a better fit for enterprise utility buyers prepared to evaluate requirements and pricing directly with the vendor than for teams needing transparent, self-serve purchasing. Consider another option if web access or enterprise utility analytics does not match your environment or needs.

Your product? Our editors can test PowerRunner in depth and publish a review, labelled as paid · from $99/mo →

PowerRunner pricing

Plans Pricing on request No free plan — trial or paid only. Prices checked 29 Sep 2026.
See plans on powerrunner.com

PowerRunner fact sheet

Free planNot verified
Paid fromNot verified
Generation analyticsYes
Grid analyticsYes
Consumption analyticsYes
Predictive asset analyticsYes
Energy-market analyticsYes
Deployment optionsHybrid
DeploymentCloud, Self-hosted
PlatformsWeb
SupportEmail, Phone
Built forEnterprise (editorial estimate)
Integrations8 integrations: Smart meters, SCADA, DMS, ADMS, OMS, GIS …
PricingPricing on request
Websitepowerrunner.com
Facts checked29 Sep 2026

PowerRunner integrations

PowerRunner lists 8 integrations on its own site.

  • Smart meters
  • SCADA
  • DMS
  • ADMS
  • OMS
  • GIS
  • CIS
  • AVEVA PI System

Alternatives to PowerRunner

See all PowerRunner alternatives →

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Featured on iTechGuides

Featured on iTechGuides — PowerRunner 6.1/10

PowerRunner is listed in our Energy Analytics Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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