Bidgely | AI-Powered Energy Analytics for Utilities

True Disaggregation

Appliance-Level Intelligence From Every Meter.

Get Solution Brief
Bidgely pioneered behind-the-meter load disaggregation, also known as Non-Intrusive Load Monitoring. We analyze real-time, AMI, and non-AMI meter data to identify appliance signatures using advanced AI and machine learning models — turning raw usage data into actionable intelligence for every customer, premise, and grid asset.
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100%
Built-in
16+
Patents
Zero
Sensors
ToU
Granularity
15%
Reduction in Residential Energy Consumption

How we're different

Not estimates. Not averages. True appliance-level intelligence.

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Built on real disaggregation, not billing data

Bidgely identifies what is happening behind the meter by detecting appliance-level signatures from usage data — not by relying on generic load shapes, customer surveys, or billing averages.

Works across AMI, non-AMI, and real-time data

UtilityAI uses real-time, AMI, and non-AMI meter data to reveal how customers actually use energy across major loads, devices, and usage patterns.

Proven across utility use cases

The same intelligence layer powers high-bill analysis, EV detection, TOU targeting, demand response, affordability programs, load research, grid planning, and SMB engagement.

How it works

Every appliance has a fingerprint.

From whole-home meter to 12 distinct appliance loads

Sample-level signatures, not monthly averages.

Bidgely uses meter data to detect the presence and use of 12 different appliance loads in homes — at the sample level, not the bill level. We can tell whether an electric heater was running during each 15-minute interval of the day, and how much energy it consumed in that interval.
  • 12 distinct appliance loads detected per home
  • 15-minute interval granularity from AMI data
  • Trained on ground truth from tens of thousands of homes
  • Built on early experience with 5-second high-frequency data
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Real-time, on-meter disaggregation

Detect EVs and major loads within minutes of plug-in.

A miniaturized version of our disaggregation application runs directly on the meter — analyzing high-frequency signals available only on the meter itself to produce on-off detection events. Unlike AMI disaggregation, these real-time events can have a proactive impact on load shifting, DR, and EV programs.
  • EV detection within minutes of plug-in
  • Real-time on-off events for load shifting and DR
  • Battle-tested across more than 15 countries
  • Worldwide portability — adapts to local weather, homes, and behavior
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Beyond Disaggregation

A launchpad for capabilities that go far beyond a load breakdown.

Bidgely's disaggregation engine is the foundation. The intelligence layered on top is what makes it actionable for every utility team.

Fuel Type
Detection

HVAC disaggregation algorithms detect the fuel type used by heating equipment — even with only electricity consumption data.

Equipment
Type

Classification models detect HVAC equipment types — heat pumps, variable-speed pool pumps, and other major loads — with high confidence.

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Inefficiency
Type

Identify whether a home's inefficiency is building-, equipment-, or behavior-related — so recommendations are pinpoint, not generic.

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Theft
Detection

AI algorithms leverage consumption patterns, current/voltage parameters, power factors, and meter events to flag tampering, bypass, and tariff misuse.

What you can build

One intelligence layer for every utility team.

Disaggregation is the foundation of UtilityAI. Every product and workflow starts with the same premise-level view of what is actually happening behind the meter.

For

Customer Experience and Call Center

  • A CSR sees which appliances drove a customer's bill increase before the customer finishes explaining the problem.
  • A customer receives a clear explanation of why their bill changed, grounded in their actual usage.
  • A high-bill alert identifies whether HVAC, EV charging, water heating, or another major load caused the spike.
  • A digital self-service experience helps customers understand usage without requiring a call.

For

Programs, Rates, and Customer Engagement

  • A program manager identifies which customers are most likely to benefit from efficiency, electrification, TOU, DR, or affordability programs.
  • A rate team models bill impact using real appliance-level usage instead of broad averages.
  • A marketing team targets customers based on actual behavior, not demographic proxies.
  • A DSM team measures program performance using verified changes in load.
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For

Grid Planning and Operations

  • A planner identifies where EVs, heat pumps, HVAC, solar, storage, and other DERs are already affecting the grid.
  • An operations team sees what load is stressing a transformer, feeder, or substation.
  • A grid planning team supports forecasts with actual premise-level load composition.
  • A utility evaluates non-wires alternatives using demand-side flexibility grounded in real usage.

Patented Technology

Protected by 16+ patents in disaggregation

Implementations safe from contention.

Bidgely's patented machine learning algorithms cover the full spectrum of behind-the-meter intelligence — from AMI disaggregation to EV detection to anomaly detection on disaggregated data.
  • Energy disaggregation techniques for AMI and smart-meter whole-house consumption data
  • Solar energy disaggregation for whole-house energy data
  • EV disaggregation techniques
  • Anomaly detection and bill comparison from disaggregated energy data
  • Low-frequency / non-smart-meter energy disaggregation techniques

Unlock True Behind-the-Meter Intelligence

Get Started

Resources

  • Webinar

    How FortisBC Transformed a Program Reset into AI-Driven Excellence

    FortisBC's efficiency program faced a familiar problem: it had the right intent, but was leaking money and reaching the wrong customers. Under pressure to deliver measurable outcomes, the team needed to move from fragmented execution to a scalable, efficient program strategy. On May 28, learn how FortisBC evolved from a ...
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  • Solution Brief

    Bidgely Edge Intelligence Platform

    Utilities face mounting pressure to detect emerging loads like EVs and behind-the-meter solar, and to scale analytics across millions of meters without growing cloud costs. AMI 2.0 introduces on-meter compute, enabling a new model for real-time intelligence at the grid edge. Bidgely's Distributed Intelligence platform deploys purpose-built software agents directly ...
    Read More
  • Video

    The Energy Advisor Pivot: Succeeding in the age of Volatility, with AI (copy)

    In this keynote, Nipun Jain explores how utilities can overcome the "Triple Squeeze" of hyper-volatility and new DER loads by pivoting toward an AI-driven advisor model. By transforming raw smart meter data into actionable intelligence, utilities can solve the paradox of green abundance where consumers often pay more despite negative ...
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  • Article

    Decarbonization: Six Utility Strategies

    Outlines how leveraging AI, customer-level data, and flexible loads can align operational reliability, policy objectives, and customer expectations.
    Read More
  • Video

    UtilityAI™ In-Depth: Bidgely - Itron Partnership Equips Utilities to Optimize AMI Data

    Explains how the combined strengths enable utilities to unlock new value from AMI deployments through edge intelligence and enterprise analytics.
    Read More
  • Video

    Building Resiliency: UtilityAI™ Across DSM, CX, EV, T&D, and DER

    The platform ensures a coordinated response to grid events by informing DSM targeting, empowering call centers, and directing marketing.
    Read More
  • Video

    AI-Powered Grid Planning at the Home Appliance Level

    AI-powered disaggregation provides planners with highly accurate inputs for grid models that support better asset planning and DER integration.
    Read More
  • Video

    Highlights: Becoming a Digital Utility (DistribuTECH Plus)

    Distills lessons emphasizing that modern utilities must be stakeholder-led and integrated, requiring cohesive digital transformation strategies for scalable outcomes.
    Read More
  • Article

    AI-Powered Smart Alerts: Dynamic Customer Engagement

    Deliver timely, personalized engagement that drives energy savings and program participation by reaching customers at the right moment.
    Read More
  • Article

    UtilityAI™ Lead Generation for Energy Retailers

    Bidgely's UtilityAI™ helps energy retailers in competitive markets prove value and diversify revenue by targeting customers with personalized offers.
    Read More

See what true disaggregation makes possible.

Disaggregation is the foundation of the UtilityAI Platform. One intelligence layer gives your customer, program, rate, and grid teams the appliance-level insight they need to act with precision.

Interactive Demo