Bidgely Redefines Energy AI in 2025: From Machine Learning to Agentic AI

LOS ALTOS, Calif.--(BUSINESS WIRE)--Jan 8, 2026--

Bidgely solidified its position as the premier provider of machine learning (ML) and artificial intelligence (AI) solutions for the utility industry in 2025, driven by the evolution of its journey from foundational ML to generative AI (GenAI) to future-forward agentic AI. By expanding its intellectual property and launching a first-of-its-kind vertical AI platform that integrates directly into existing utility data environments, Bidgely has transformed how more than 35 energy providers across the U.S., India, Middle East and Europe manage the energy transition.

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“The utility sector is moving past the experimentation phase of AI,” said Abhay Gupta, CEO of Bidgely. “In 2025, we focused on delivering technology that allows utilities to build, buy or partner on a single AI platform. Whether it’s optimizing the grid or powering customer-facing GenAI agents, our goal is to help utilities achieve the outcomes they value most: resilience, affordability and decarbonization.”

Defining the Next-Gen Grid with Advanced AI

Bidgely’s technological evolution has journeyed from data observation to autonomous grid management. While foundational ML first decoded raw energy data into consumer insights, predictive AI advanced the company’s platform by forecasting insights like grid stress and infrastructure faults. The journey then moved into generative AI, utilizing large language models to transform complex data into conversational "Energy Assistant" tools. Looking beyond 2025, this path culminates in agentic AI, where autonomous agents transition from delivering insights to executing real-time actions without manual intervention.

Following the strategic acquisition of Grid4C, Bidgely now holds over 16 utility-focused AI data science patents. This "AI moat" includes advanced appliance fault detection, diagnostics and high-resolution load forecasting to ensure every layer of Bidgely AI is protected by world-class innovation.

UtilityAI Pro: The Industry’s "Any Cloud, Any Hyperscaler" AI Solution

Bidgely also redefined the AI landscape in 2025 by launching UtilityAI Pro —the industry’s first vertical AI platform that seamlessly integrates with a utility’s preferred data environment (i.e. AWS, Snowflake, Databricks). UtilityAI Pro enhances a utility’s existing investments in AI-powered agents and copilots and serves as a unified foundation where utilities can build their own custom models, buy off-the-shelf Bidgely solutions or integrate third-party partner applications all within the same platform.

One major Southwest U.S. investor-owned utility (IOU) is partnering with Bidgely for “UtilityAI Pro” to maximize its return on recent investments in advanced metering infrastructure (AMI) and cloud technology. By deploying Bidgely’s patented machine learning models directly within the utility’s secure cloud environment, the solution ensures data privacy while providing deep intelligence on appliance usage, electric vehicle charging, and distributed energy resources. This foundational data layer enabled the utility to develop custom AI agents and integrate insights into grid planning and customer engagement tools, targeting a five to ten times ROI through optimized demand-side management, deferred infrastructure upgrades and enhanced revenue protection.

Celebrating AI Excellence

In 2025, Bidgely’s AI-first philosophy earned numerous accolades, including 2025 Top Product of the Year from Environment+Energy Leader for its use of GenAI to simulate impact of electric vehicles on the grid with 98 percent accuracy. The company also retained its long-standing position atop Guidehouse Research’s Home Energy Management (HEMS) Leaderboard, recognized specifically for its strategy in making AI "interactive and automated."

Additionally, Bidgely’s ML and AI-based solutions collectively helped save 1.5 TWh of energy from gas, electric, dual fuel and water customers around the world.

To learn more about how utilities can deploy Bidgely’s AI to strategically support their technology investments, listen to the “Scaling AI in the Energy Industry” Electric Perspectives podcast episode featuring Arizona Public Service’s (APS) Michelle Ferrara and Bidgely’s Karthik Moorthy.

About Bidgely

Bidgely is an AI-powered SaaS Company accelerating a clean energy future by enabling energy companies and consumers to make data-driven energy-related decisions. Powered by our unique patented technology, Bidgely's UtilityAI™ Platform transforms multiple dimensions of customer data - such as energy consumption, demographics, and interactions - into deeply accurate and actionable consumer energy insights. We leverage these insights to empower each customer with personalized recommendations, tailored to their individual personality and lifestyle, usage attributes, behavioral patterns, purchase propensity, and beyond. From a distributed energy resources (DER) and grid edge perspective, Bidgely is advancing smart meter innovation with data-driven solutions for solar PVs, electric vehicle (EV) detection, EV behavioral load shifting and managed charging, energy theft, short-term load forecasting, grid analytics, and time of use (TOU) rate designs. Bidgely’s UtilityAI™ energy analytics provides deep visibility into generation and consumption for better peak load shaping and grid planning, and delivers targeted recommendations for new value-added products and services. With roots in Silicon Valley, Bidgely has over 16 energy patents, $75M+ in funding, retains 30+ data scientists, and brings a passion for AI to utilities serving residential and commercial customers around the world. For more information, please visit www.bidgely.com or the Bidgely blog at bidgely.com/blog.

Bidgely expands its intellectual property and launches first-of-its-kind vertical AI platform in its journey foundational ML to GenAI to agentic AI.

WASHINGTON (AP) — Lawmakers worried about the existential risk posed by new artificial intelligence products demanded information from OpenAI on Thursday with separate queries that underscored growing concerns in Washington about the technology's potential to elude human control.

Sen. Josh Hawley, R-Mo., launched an investigation Thursday into OpenAI for its artificial intelligence system hacking into another AI company on its own. He is seeking more details about the attack on AI startup Hugging Face, which was disclosed by OpenAI in July, and leads a Senate subcommittee with jurisdiction over disaster management.

“The American people deserve to know the details of what went on in the Hugging Face incident and other incidents of AI models going rogue,” Hawley said in a letter to Sam Altman, OpenAI's chief executive officer. “This investigation will seek those answers.”

Meanwhile, Democratic Sen. Chris Van Hollen of Maryland called on Altman to immediately grant federal cybersecurity agencies access to information that would allow them to assess the safety and risks of OpenAI's models. Van Hollen cited the Hugging Face attack in his request.

In response to the senators' inquiries, OpenAI spokesperson Nate Evans said the Hugging Face incident was an important moment for AI safety and a warning about the risks that could come with increasingly capable AI.

“We conducted an extensive investigation and published a detailed report on what happened, what we learned, and how we’re strengthening our security and alignment practices,” Evans said in an emailed statement.

Lawmakers also appear to be responding to concerns raised this week when an Anthropic researcher said he is resigning from the company over concerns that the artificial intelligence firm and its competitors are not acting responsibly in AI development.

Jacob Coxon, who said he spent three years doing research at both Anthropic and OpenAI, said Tuesday on the social platform X that the two AI companies are more focused on beating each other and global competitors than they are on safety.

Questions about the future of artificial intelligence come as Congress has long been reluctant to regulate the technology industry. Lawmakers in both parties agree that more guardrails are needed across the board, but even narrow attempts at regulation of have fallen apart over the years.

A bipartisan working group on artificial intelligence, formed by then-Senate Majority Leader Chuck Schumer, released a report in 2024 recommending that the U.S. spend at least $32 billion over the next three years to develop artificial intelligence and implement safeguards around it, but Congress has done little to follow up. Similarly, a bipartisan bill on internet safety for children has repeatedly stalled.

Sen. Bernie Sanders, an independent from Vermont, announced this week he would be introducing a bill that would ban the development and deployment of “superintelligent AI” and pause advanced AI development until a federal regulator has established safety rules. Rep. Greg Casar, D-Texas, will sponsor the House version.

“The leaders of the major AI companies publicly acknowledge that they do not fully understand the technology and that it is escaping their control," Sanders said. “It is irresponsible for society to allow them to move forward and make these products even more advanced.”

Associated Press reporter Mary Clare Jalonick contributed to this report.

FILE - Sen. Josh Hawley, R-Mo., speaks during a Senate Committee on the Judiciary Subcommittee on Privacy, Technology, and the Law hearing on Capitol Hill in Washington, Feb. 10, 2026. (AP Photo/Nathan Howard, File)