Sigenergy has opened a smart energy centre in Nantong, Jiangsu Province, China, and announced a series of developments in the company’s next phase of global growth.

The event brought together nearly 2000 guests from more than 50 countries and regions, including founders, CEOs and senior executives from distributors and installation partners worldwide.

The company unveiled its AI in All strategy, and introduced products covering residential, commercial, industrial and utility-scale applications.

The AI in All strategy positions artificial intelligence as a core capability embedded across products, software, manufacturing and energy management systems, transforming energy systems from simply operating to becoming intelligent, collaborative and continuously optimised.

“Sigenergy is committed to leading the global energy transition through AI-driven innovation,” said Tony Xu, CEO of Sigenergy. “Our focus is on harnessing AI to create smarter, more adaptive energy systems that set the standard for the industry.”

Sigenergy is embedding AI as a foundational layer across its technologies. At the product level, AI supports energy management, operational optimisation and dispatch control; through software, it enhances configuration, monitoring and strategy execution; and at the system level, it connects distributed devices and applications, enabling coordinated and intelligent operations across residential, commercial and utility-scale scenarios.

With the AI in All strategy, Sigenergy is translating AI innovation into tangible product capabilities and system intelligence, accelerating the development of smarter, more adaptive energy infrastructure worldwide.

Supporting the strategy is the Nantong smart energy centre, covering 136,000 square metres with an investment of RMB500m. The facility has an annual production capacity exceeding 300,000 inverters and battery packs. More than a factory, it serves as an integrated hub combining R&D, intelligent manufacturing, global delivery and energy management.

At the heart of Sigenergy’s manufacturing network, the centre features an integrated digital platform that lets operators monitor production in real time and coordinate processes across the facility. Manufacturing execution, warehouse management and energy management systems are interconnected, allowing material dispatch, equipment configuration, and production adjustments to be synchronised automatically.

AI-powered quality inspections replace manual sampling, while Sigenergy’s three-dimensional intelligent logistics system integrates overhead and ground material movement to boost efficiency.

This combination produces one battery pack every 15 seconds and one inverter every 21 seconds. The launch of the centre ensures Sigenergy’s original designs are realised at scale.

For the residential market, the company introduced the SigenStor NeoFor home energy system. Building on its signature modular architecture and circular light-ring design, the system combines a PV inverter, battery PCS, energy management system, gateway and battery pack into one platform. Designed for modern households, it delivers system integration, improved coordination across components and broader compatibility across different home energy scenarios, providing users with a more intelligent, streamlined and user-friendly energy experience.

For commercial and industrial applications, Sigenergy launched a 166kW PV inverter to deliver higher power density and improved system efficiency through power electronics technology. This provides enterprises with more efficient and reliable solar and storage integration.

In the utility-scale segment, Sigenergy (www.sigenergy.com) introduced a utility inverter for large-scale solar power plants. With a high-power-density architecture, it delivers up to 500kW output, supports 1650V DC input and 1000V AC systems, helping reduce system costs while improving overall power generation efficiency. AI capabilities improve short-term power generation forecasts by integrating equipment, site and weather data, enabling smarter dispatch planning and revenue optimisation.