en.Wedoany.com Reported - Sigenergy (Shanghai) Co., Ltd. (referred to as Sigenergy) unveiled its AI in ALL global strategy and the all-domain energy AI agent SigenAgent, coinciding with the implementation of multiple national-level AI standards in China between May and June 2026. The company also jointly launched China's first energy intelligence grading system, EIL, with Frost & Sullivan. The enterprise's strategic advancement aligns with national AI standard development, driving the new energy industry from equipment intelligence to all-domain autonomous intelligence through technological innovation and standard reshaping.
As AI technology rapidly evolves in the energy sector, the lack of unified quantitative evaluation standards has become a prominent bottleneck hindering industry standardization and high-quality development. Sigenergy Chairman and CEO Xu Yingtong stated that over the past decade, photovoltaics have transformed power generation methods, and AI is now reshaping global energy consumption logic. Based on industry pain points and national AI standards, the company is establishing new competitive rules through AI agent technology and quantitative grading standards, addressing the gap in AI standardization evaluation for the energy sector.
Leveraging the 2026 new edition of national-level AI algorithm evaluation, trustworthy AI, and intelligence grading standards, Sigenergy's EIL system draws on the autonomous driving grading paradigm. Combining the energy industry's characteristics of high safety, high precision, and strong compliance, it transforms core evaluation indicators such as perception capability, autonomous decision-making, model interpretability, and operational robustness into quantitative assessment rules for the energy sector. The system aims to establish a universal evaluation standard that is benchmarkable, implementable, and iterable across the industry, shifting competition from concept hype to technological strength and user value.
On the technology implementation front, Sigenergy's debut all-domain energy AI agent SigenAgent aligns with national AI algorithm compliance, data governance, and trustworthy operation guidelines, achieving a transition from passive Q&A to active thinking, autonomous execution, and all-domain deployment. The system, based on four vertical AI agent matrices, covers the entire process from equipment commissioning and operation, intelligent scheduling, and power trading to system iteration, encompassing all scenarios such as home energy use, commercial and industrial energy storage, and power station operation. It establishes a self-operating closed loop where users set goals, AI thinks, and devices execute. Iterated with tens of millions of compliant scenario data points, it can adapt to different regional and power market rules.
The technical foundation of SigenAgent stems from Sigenergy's long-developed software-hardware integrated architecture. The company has built a three-layer core architecture comprising high-precision hardware perception, millisecond-level high-speed communication, and large-model cloud evolution. Through breakthroughs in "atomic operations" within the energy sector, Sigenergy has constructed an all-domain perception network for nodes such as power generation, energy storage, and grid connection, forming a complete industry energy flow Sankey diagram that enables fully quantified and visualized management of energy flow, loss, and dispatch.
Sigenergy covers over 80 countries and more than 200,000 grid-connected power stations, establishing an all-domain energy perception network spanning generation, storage, charging, load, and grid. The system can collect energy data in milliseconds and refresh globally in 10 seconds, with existing devices upgrading AI capabilities via remote OTA. At a cooperative power station in Sweden, AI dispatch adoption exceeds 70%, reducing user electricity bills by 70.3%. In Poland's high-frequency fluctuating electricity price scenarios, AI multi-dimensional dispatch helps users reduce electricity procurement costs by 50%, while increasing revenue from surplus photovoltaic electricity sales by 220% to 300%.
In the field of AI trust and security, Sigenergy aligns with GB/T 47507-2026 "Artificial Intelligence - Trustworthiness - General Principles" to establish full-chain security standards, mitigating risks such as large model hallucinations, device malfunctions, and data leaks. Xu Yingtong emphasized that the ultimate decision-making power in the energy system always belongs to users, ensuring uninterrupted operation even offline, with every kilowatt-hour of dispatch being traceable, transparent, and controllable. The company relies on six regional cloud nodes globally, complying with GDPR and data regulations in various countries, with data stored and processed locally, and possesses offline fallback capabilities.
Regarding the future direction of intelligent energy control, Xu Yingtong pointed out that bidirectional intelligent control of devices will become a core industry trend, with highly mature applications already achieved in home and off-grid commercial and industrial scenarios. In overseas settings such as mines in Chile, farms in Australia, and other locations, full-device managed services have been implemented. The core barrier for grid-level and city-level EMS source-grid-load-storage integrated dispatch lies in multi-party collaborative compliance mechanisms and industry standards. Sigenergy has initiated related research projects in Shanghai's Pudong area.
From an industry trend perspective, emerging brands like Dreame have taken the lead in deploying intelligent device interconnectivity, achieving full AI perception and control of terminal devices through built-in MCP protocols. Full-device intelligent integration will become the industry mainstream in the next one to two years. Sigenergy is developing new ecosystem products to bridge the ecological gap between load devices and energy storage systems. Additionally, the company is building a next-generation all-domain AI energy demonstration project in Nantong, achieving full-chain AI agent autonomous control from power generation and storage to consumption, expected to be officially operational next year.
Sigenergy adopts a development strategy of independent technology research, open standards, and ecosystem co-construction, transforming national-level AI general standards into implementable standards for the energy industry. By opening core technologies, sharing the EIL grading standard, and iterating all-domain solutions, the company lowers the barrier to smart energy use for users and empowers partners to improve quality and efficiency. Xu Yingtong stated that the company will continue to iterate the EIL system and SigenAgent capabilities, deeply aligning with national AI standardization and new power system construction requirements, driving the new energy industry from single-point breakthroughs in equipment intelligence toward a new paradigm of all-domain autonomy, security, trustworthiness, and value-controllable large-scale intelligence.
