Bidgely | AI-Powered Energy Analytics for Utilities
GenAI Fabric

Any LLM, Grounded in Utility Intelligence

Generic LLMs answer general questions, but cannot explain a high bill with appliance-level precision, identify what's loading a transformer, or forecast DER impact on a feeder. Bidgely GenAI connects any LLM to pre-trained utility models and real AMI data. Every answer is accurate enough to act on.

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Not another AI layer on top of billing data

Built on appliance-level intelligence, not billing records

Our GenAI leverages disaggregation, DER propensity scores, load forecasts, and behavioral profiles—not just billing data. The result is deep answers to questions such as “Why is my bill high this month?”

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Works with any AI platform your organization uses

No need to replace your existing AI investments. Connect Copilot, Claude, ChatGPT, Glean, or any AI platform. No custom integration required.

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Your Infrastructure, Your Rules

Run on Bidgely's cloud or deploy inside your own infrastructure. Your security policies and governance controls apply to every query and every answer.

HOW IT WORKS

One MCP Server. Every LLM.

The GenAI Fabric uses Model Context Protocol (MCP) to expose your utility intelligence to any LLM in your environment.

Your LLMs

HOW IT WORKS

UtilityAI GenAI Fabric

Appliance-Level Disaggregation
DER Propensity Scores
Load Forecasts
Behavioral profiles

Utility Data

AMI / Smart Meter Data
CIS Customer Data
Grid & Feeder Data
DER / Solar Data

Works with your stack

Snowflake Databricks AWS Marketplace Azure Marketplace Google Cloud Marketplace Copilot Claude

Generic LLM vs. Grounded in Utility Data

Generic LLM

Connects any LLM in your environment to the utility intelligence your meters already generate. One MCP server. Every LLM your organization already uses.

  • MCP Server
    Exposes your utility models and data to any LLM in your environment
  • LLM Connectors
    Microsoft Copilot, Claude, ChatGPT, and Glean

Bidgely GenAI

Production-ready agents for the workflows your teams run every day, and the infrastructure to build any agent your utility needs.

  • Prebuilt Agents
    Ready-to-deploy for high bill analysis, transformer monitoring, and more
  • Custom Agents
    Build unlimited agents tailored to your utility workflows

WHAT YOU CAN BUILD

Grounded answers for every team

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

For Customer Experience and Call Center

  • A CSR asks why a customer's bill spiked and gets an appliance-level breakdown instantly, while still on the call
  • Customers ask why their bills have gone up and get common-sense explanations grounded in their actual usage
  • A CSR asks which rate plan would save a specific customer money and gets a recommendation based on real-world use
  • A manager asks about program enrollment trends across customer segments in real time
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For Grid Planning and Operations

  • A planner asks which feeders are most exposed to EV load growth over the next three years
  • An engineer asks about transformer loading history without writing a line of code
  • An analyst asks for a summary of DER penetration by substation across the entire service territory
  • The operations team asks about outage patterns correlated with load and equipment age

For Regulatory and Rates

  • A rate analyst asks for appliance-level elasticity data to inform rate design without a manual data pull
  • An analyst asks about energy burden by premises to identify income-qualified customers for affordability programs
  • A regulatory team builds an interactive cost-benefit analysis for a filing by querying program and load data
  • An analyst asks for Integrated Resource Planning (IRP) scenario inputs without waiting on a data team

Ready to see it in your environment?

Talk to an Expert

Resources

  • Video

    ETS26 Fireside Chat Video with PSEG-LI and Bidgely

    AI is now now a priority across the utility industry, but moving from experimentation to operational value requires more than model accuracy. In this ETS26 fireside chat, leaders from Bidgely and PSEG Long Island discuss how utilities are evaluating AI before deployment, including data ownership, model transparency, accountability, security, and ...
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  • Solution Brief

    Behind the Summer Peak: Inefficient Appliances, Behavioural Load, and the Case for Precision Targeting

    Learn how UtilityAI Pro™ transforms smart meter and AMI data into actionable, appliance-level intelligence that powers customer engagement, grid planning and operational efficiency. This technical brief explores the AI and machine learning innovations behind Bidgely’s UtilityAI platform, including disaggregation, asset detection and predictive analytics that help utilities accelerate electrification, optimize ...
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  • Solution Brief

    UtilityAI Pro Solution Brief

    UtilityAI Pro brings Bidgely's trusted UtilityAI engine into your preferred cloud, giving technology leaders utility-specific AI models trained on AMI, customer, and grid data. Built for AWS, Azure, Google Cloud, Databricks, and Snowflake, it helps teams strengthen forecasting, personalize customer programs, and uncover DER and non-wires opportunities with 10X greater ...
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  • Podcast

    How Data and AI Are Transforming Customer Engagement

    PSEG Long Island's Lou DeBrino and Bidgely's Ted Nielsen join EEI's Electric Perspectives to explore how utilities are turning smart meter data into actionable customer insights. Learn how AI-powered appliance intelligence helps utilities explain bills more clearly, deliver personalized energy guidance, support time-of-day rates, and equip customer service teams with ...
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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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  • 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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  • 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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  • 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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  • 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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  • Solution Brief

    DER Grid Planning Info Sheet

    Bidgely DER Grid Planning applies patented AI disaggregation to meter data to give utilities true behind-the-meter visibility into DER adoption, appliance usage, and demand patterns. With an 8760 temporal view of demand, asset capacity forecasting, and scenario modeling, utilities can uncover grid hot spots earlier, optimize Non-Wires Alternatives, and plan ...
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Frequently asked questions