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Landis+Gyr Edge Intelligence

Landis+Gyr Edge Intelligence and Orchestration is a grid-data software suite from energy technology company Landis+Gyr. It uses AI and machine learning to turn data from AMI meters, grid sensors, and distributed energy resources into real-time insight for utilities, covering grid monitoring, DER integration, and personalized customer energy data.

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Landis+Gyr Edge Intelligence screenshot
Landis+Gyr Edge Intelligence screenshot

Landis+Gyr Edge Intelligence and Orchestration is a software suite from Landis+Gyr, an energy technology company best known for smart meters and grid devices. Rather than more hardware, this product line addresses what utilities do with the data those devices already generate: it collects the continuous stream from AMI systems, grid sensors, DERs, and customer devices, and turns it into insight utilities can act on.

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The suite combines AI- and ML-powered analytics with embedded edge processing and cloud-native applications, so some analysis happens close to where the data is generated and some happens in the cloud, instead of routing everything through one central system. The goal is to replace siloed systems with a connected flow: data validated at the edge feeds up into enterprise-level decisions, and it works across a utility's existing AMI investment rather than requiring new meters.

Its "apps" cover grid location awareness, transformer loading, voltage and power-quality monitoring, and personalized energy insights delivered to end customers. Landis+Gyr also runs an open App Ecosystem so utilities and partners can build and deploy their own purpose-built grid apps on top of the platform, drawing on more than 20 years of edge-intelligence work. A separate product, the Revelo Platform, is described as a grid sensor with waveform data technology and built-in edge computing, for utilities that want more granular real-time sampling and analysis.

The suite is built for electric utilities and grid operators looking to get more value out of existing smart-meter deployments, particularly around situational awareness, power quality, revenue protection, and integrating distributed energy resources like solar and batteries. Landis+Gyr frames the goal as an adaptive, future-ready intelligence layer: as utilities add more sensors and DERs to the grid, the suite is meant to keep scaling with that data rather than needing a separate system for every new source, and to extend value to consumers as well as internal grid operations teams.

Landis+Gyr does not publish pricing or self-serve access for this suite. The site invites interested utilities to talk with its team about deployment options and fit rather than sign up directly, and treats the engagement as a solution evaluation rather than a straightforward software purchase.

  • CategoryMachine Learning Platforms
  • Pricing ModelContact sales
  • DeploymentCloud
  • PlatformsWeb

  • AI- and ML-powered analytics that process grid data at the edge and in the cloud

  • Grid location awareness and transformer loading apps for operational monitoring

  • Voltage and power-quality monitoring across the distribution network

  • Personalized energy insights delivered to utility customers

  • An open App Ecosystem for utilities and partners to build their own grid apps

  • Revelo Platform grid sensor with waveform data technology and built-in edge computing

  • Works with a utility's existing AMI meter investment rather than requiring new hardware

  • Supports DER integration and optimization for solar, batteries, and other distributed resources

  1. Review the challenge and solution: read how the suite addresses AMI, grid sensor, and DER data on the Edge Intelligence and Orchestration page

  2. Check the App Ecosystem: see which pre-built grid apps, such as location awareness or power-quality monitoring, fit your utility

  3. Contact Landis+Gyr: use the site's "Interested in this Solution" option to start a conversation with the team

  4. Evaluate fit and deployment: work with Landis+Gyr to assess how the suite integrates with your existing AMI and grid sensor deployment

  5. Deploy edge and cloud apps: roll out the analytics utility-wide, extending the value of existing meter and sensor investments

  • Grid monitoring
  • DER integration
  • Customer energy insights
  • Custom grid apps

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