Sigenergy Launches AI Agent For Solar & Storage

Sigenergy, the China-headquartered energy storage system (ESS) provider, has launched SigenAgent, an artificial intelligence (AI)-based energy management platform (EMP) that it says automates the operation of solar and energy storage systems for residential and commercial users. 

Calling it the energy industry’s 1st all-domain AI agent, Sigenergy introduced the platform during its recent “AI in All” event. According to the company, SigenAgent continuously analyzes factors such as weather forecasts, electricity prices, energy demand and grid conditions to optimize system performance based on user-defined objectives.  

In simple words, user sets the goal, AI-powered SigenAgent handles the rest, underlines Sigenergy.   

“True AI is not just a chatbot companion,” said Tony Xu, founder and CEO of Sigenergy during the launch. “It is a partner that understands your goals, executes tasks on your behalf, and continuously learns over time.”  

Users can set goals such as lowering electricity costs or maintaining backup power availability, while the system determines and executes operational strategies.  

The SigenAgent platform comprises 4 core functions: Energy Manager, which automates system operation; System Doctor, which performs rapid diagnostics and fault analysis; Power Trader, which supports battery storage participation in electricity markets and virtual power plants; and Business Assistant, which provides operational insights through enterprise data analysis. 

Sigenergy said SigenAgent has been developed on top of its existing hardware and software ecosystem, which the company says supports more than 200,000 power stations globally. The AI capabilities will be made available to existing systems through over-the-air (OTA) software updates.  

The company said the platform incorporates several safeguards, including user approval requirements for critical system changes, localized data storage across 6 global data centers, and offline operating capabilities designed to maintain system functionality during network disruptions. 

Consumers can also use AI-generated charging and discharging decisions through a transparent user interface. SigenAgent is expected to integrate with messaging applications including WhatsApp and Telegram, allowing users to interact with energy systems through conversational commands.  

Frost & Sullivan recommends a 5-level classification system modeled on autonomous driving standards as a way to provide a common benchmark to assess the intelligence and autonomy of energy systems. It made the recommendation for this Energy Intelligence Level (EIL) framework in its 2026 AI-Powered New Energy White Paper, released during the Sigenergy event.   

According to Sigenergy, the framework is designed to support the industry's transition from device-level intelligence toward autonomous, system-wide energy optimization which is what SigenAgent provides. 

Addressing concerns around AI reliability, CEO Tony Xu said critical energy system operations are governed by Sigenergy's self-developed agent rather than large language models, with user approval required for key actions. He added that the platform is built on data collected through the company's hardware network and synchronized sensor infrastructure, while the latest version introduces dedicated AI agents that retain long-term user and system history to deliver personalized energy management. 

"What Sigenergy is delivering today is not just a product, or a tech upgrade—we are delivering a completely new energy lifestyle,” added Xu. “Users can optimize every kilowatt-hour without needing to understand complex technical details. Energy systems are shifting from passive hardware into active companions.” 

The management added that Sigenergy plans to launch a beta version of SigenAgent in Europe, particularly in markets with dynamic electricity pricing, before a broader rollout about a month later. He added that the platform has undergone extensive internal testing and has been designed to meet cybersecurity, privacy and regulatory requirements, including GDPR compliance in European and North American markets.