Bidgely | AI-Powered Energy Analytics for Utilities
Agentic Automation Fabric

Pre-Built for Utilities. Configurable for Yours.

Poduction-ready agents for the workflows utilities run every day and the infrastructure to build any new agent you need, running on pre-trained utility models

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Agents that know what a meter means

Built on utility intelligence, not billing records

Every agent draws on the same pre-trained utility models that power the UtilityAI Platform. Appliance-level data, behavioral profiles, DER signals. Not CIS records. Not general-purpose AI.

Ready to deploy, not ready to configure

Prebuilt agents ship ready for production, not as templates that require months of configuration. Your teams can be running on day one of deployment.

Unlimited custom agents

When your workflows don’t fit a prebuilt agent, build your own. Every custom agent inherits the same utility intelligence, the same data environment, and the same governance posture as the rest of the platform.

HOW IT WORKS

From the meter to every workflow that matters

Every agent runs on the same pre-trained models and the same deployment your CIO already approved.

What Ships with the Platform

The agents your teams need most, ready on day one.

For Customer Experience, Call Center

  • High bill complaint analysis agent
  • Ink personalization agent
  • Program enrollment recommendation agent
  • Marketing campaign fact integration
  • Customer-facing chatbot

For Grid Planning and Operations

  • Transformer loading monitoring agent
  • Outage root cause analysis agent
  • Non-wire alternatives recommendation agent
  • Current-state DER analysis agent

For Regulatory and Rates

  • Integrated Resource Planning agent
  • Market potential studies agent
  • Cost and benefit analyzer for regulatory filings
  • Rate analysis and design agent

For Customer Experience and Call Center

  • High bill complaint analysis agent
  • IVR personalization agent
  • Program enrollment recommendation agent
  • Customer-facing energy assistant

One deployment. Every agent. Every team.

Runs inside your environment

Deploys on AWS, Azure, or GCP. Your data never leaves your infrastructure. Your security and governance policies apply to every agent, every workflow, and every output.

Integrates with the systems your teams already use

Prebuilt integrations with CRM, DERMS, ADMS, and BI platforms mean agents surface where your teams already work. No new interface to learn. No separate tool to adopt.

One approval covers every use case

Your CIO approves once. Every team gets access. Every new agent inherits the same data governance and security posture as the rest of the UtilityAI Platform.

Ready to see it in your environment?

Talk to an Expert

Resources

  • Webinar

    Recruiting for Grid Impact: Adaptive Targeting That Moves at the Speed of Change

    How do modern utilities find and recruit the right customers when load, adoption, and grid conditions are constantly changing? Program success today depends on precision recruitment and the ability to continuously adapt—refining who to engage, how to communicate value, and where to focus as real-world conditions evolve. NV Energy is ...
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  • Case Study

    Analytics Workbench Customer Snapshots

    Utilities are under pressure to deliver measurable outcomes across affordability, electrification, load flexibility, and customer experience. Bidgely's Analytics Workbench (AWB) gives teams a practical way to operationalize behind-the-meter intelligence, identify the right customers for the right programs, and prove impact with defensible results. This collection brings together customer snapshots from ...
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  • Case Study

    NV Energy’s Success with UtilityAI™ Platform

    Learn how NV Energy leverages AI-powered insights to design DSM programs that are efficient, cost-effective, and aligned with grid planning priorities.
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  • White Paper

    True Disaggregation: Why It Matters Now

    Learn how non-intrusive load monitoring (NILM) at the device level is the foundation for effective customer engagement and grid planning.
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  • Podcast

    How NV Energy Is Taking a Smarter, Holistic Approach to the Grid of the Future

    By understanding how and when customers use energy, NV Energy shifts demand to AM hours, delaying the need for expensive new power plants.
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  • Video

    Data-Driven Engagement Maximizes TOU Opt-In and Retention

    Essential for successful TOU programs, using disaggregation to personalize savings and provide targeted communication that guides load-shifting behavior.
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  • Video

    How NV Energy is Using EV Intelligence to Shape Future Strategy

    NV Energy shares how it uses Bidgely’s EV Intelligence and Analytics Workbench to identify high-impact EV customers, uncover load growth hotspots, and drive targeted recruitment strategies that support grid planning, TOU optimization, and long-term electrification strategy.
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  • Industry Analysis

    SEPA Insight Brief: AI for Transportation Electrification

    Electric vehicle adoption is rapidly accelerating, creating both challenges and opportunities for utilities. As transportation electrification grows, utilities are turning to AI to better detect EVs, understand charging behavior, and design more effective programs. This brief explores how AI—particularly deep learning applied to AMI data—can support EV planning and program ...
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  • Webinar

    Data-Driven Partnerships: Elevating Utility Operations with DaaS

    This insightful 30-minute "office hours" style webinar, part of the June Partner Ecosystem Series, explored the transformative potential of Disaggregation as a Service (DaaS) for utility partners and system integrators such as Kubra, ICF, and Black & Veatch. The session highlighted how DaaS serves as a cornerstone for enhancing customer ...
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  • Podcast

    EEI Podcast Powering the Future AI Grid Enhancements

    In this EEI podcast, Ameren Illinois President Lenny Singh and Bidgely CEO Abhay Gupta explore how utilities are adapting to rapid electrification and rising energy demand. The conversation highlights how AI-powered analytics and behind-the-meter disaggregation are enabling smarter infrastructure planning, improving reliability, and transforming customer engagement strategies.
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