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Bidgely

Bidgely is a US-based energy analytics software company that uses AI to disaggregate smart-meter data and deliver personalized energy insights to utilities and their customers.

Last updated October 30, 2026

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Overview

Bidgely is a privately held software company headquartered in Mountain View, California, that builds artificial-intelligence-driven energy analytics for the utility industry. Its core technology performs load disaggregation on smart-meter data — breaking a whole-home electricity signal into appliance-level components — so that utilities can understand how energy is actually consumed inside each household without installing additional hardware. On top of that analytics engine, Bidgely sells customer-engagement, energy-efficiency, demand-side management and grid-planning applications to electric and gas utilities. The company's product line spans residential and business customer portals, personalized energy reports and recommendations, home energy reports, electric-vehicle and rooftop-solar detection, low-income and vulnerable-customer targeting, and utility-side analytics for load forecasting and non-wires alternatives. Bidgely positions itself as a data-and-AI layer that helps utilities raise program participation, verify savings, and manage an increasingly distributed and electrified grid. Bidgely sells primarily on a business-to-business basis to regulated and deregulated utilities, often through multi-year software subscriptions, and has worked with utilities in North America, Europe and Asia-Pacific. It is venture-backed and privately held; it is not listed on a public exchange. The company competes with other utility analytics and customer-engagement vendors as well as with in-house utility data-science teams. Because Bidgely is a software vendor rather than a consumer brand, its public profile centers on utility case studies, industry conferences and product announcements rather than mass-market advertising.

History

Bidgely was founded in 2011 in California as a venture-backed startup focused on applying machine learning to energy data. Its founding premise was that the smart meters being rolled out by utilities generated far more information than utilities could use, and that software could infer which appliances were running inside a home from a single whole-home electricity signal. This technique, known as load disaggregation or non-intrusive load monitoring, became the technical foundation of the company. In its early years Bidgely built a residential energy-disaggregation engine and began piloting it with utilities, initially in North America. The company expanded from pure analytics into customer-facing applications, recognizing that utilities needed not only insight but a way to communicate that insight to households and drive participation in efficiency programs. This led to a product portfolio of customer portals, personalized energy reports and program-targeting tools. As the utility industry's priorities shifted toward electrification, distributed energy resources and grid flexibility, Bidgely extended its analytics to detect electric-vehicle charging and rooftop solar, to support low-income customer programs, and to provide utility-side load forecasting and planning insights. The company has marketed these capabilities internationally, including in Europe and Asia-Pacific, and has published utility case studies describing measured improvements in program participation and savings. Bidgely remains a privately held, venture-backed company and has not pursued a public listing. Its growth has tracked utility investment in data analytics and customer engagement rather than consumer marketing, and its brand is known mainly within the utility and energy-software industry.

  • 2011

    Bidgely founded in California as a venture-backed energy analytics startup.

  • Launched smart-meter load disaggregation analytics and began utility pilots in North America.

  • Expanded from analytics into customer-facing engagement portals and personalized energy reports.

  • Extended analytics to electric-vehicle and rooftop-solar detection and to utility-side grid planning.

Products and positioning

B2B AI and data analytics partner for utilities seeking appliance-level insight, customer engagement and verified energy savings from existing smart-meter data.

  • Energy disaggregation engine

    Machine-learning engine that breaks whole-home smart-meter data into appliance-level usage.

  • Utility customer engagement portal

    Personalized digital portal and reports that show households their energy use and savings opportunities.

  • EV and solar detection

    Analytics that infer electric-vehicle charging and rooftop solar from meter data.

  • Grid and load analytics

    Utility-side forecasting and planning insights built on disaggregated customer data.

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