JIAXING, China, May 11, 2026 /PRNewswire/ -- APsystems (SH.688348), a leading provider of distributed PV and energy storage solutions, has released its 2025 ESG Sustainability Report – the company's third consecutive annual disclosure. The report details progress across environmental, social, and governance dimensions, with a renewed focus on governance upgrades, AI empowerment, and low-carbon impact.
"In the global energy transition, APsystems remains at the forefront of the era, with the mission to "Drive a zero-carbon future and make smart energy accessible to everyone," said Dr. Ling Zhimin, Chairman and CEO of APsystems. "We will continue to embrace technological change, expand our global footprint, and embed ESG principles deeply into operations – striving to become the safest and most efficient clean energy converter."
Deepening its commitment to ESG, APsystems upgraded its ESG governance to a four-tier integrated framework, creating a closed-loop decision-making and oversight mechanism. The company identified 19 core ESG topics for 2025 – including digital transformation as a new priority. It also reinforced business ethics, internal controls, and compliance through regular training and end-to-end risk management. As a result, APsystems received multiple ESG awards, including "Model Sustainable Development Enterprise" and "ESG Model Listed Company".
Aligned with IFRS S2, APsystems conducted climate scenario assessments and standardized GHG management. All contract manufacturers are ISO 14001 certified. With cumulative MLPE shipments exceeding 7.5 GW across 168 countries and regions, the company has enabled nearly 9.5 TWh of clean energy generation, avoiding approximately 12 million tons of CO₂ emissions.
R&D remains a top priority: over 50% of APsystems' workforce is in R&D, holding more than 230 IP rights including over 100 invention patents. The company advances three business segments –plug in solar& storage, residential, and C&I solar-storage. Landmark projects include the 25 MW Nanjing International Expo Center (China's largest single-capacity microinverter power station) and a 100 MW / 400 MWh energy storage power station located in Shenzhou, China. Certified under ISO 9001, ISO 27001, and with a closed-loop customer service system achieving 80%+ satisfaction across all regions, APsystems ensures stable quality, data security, and a resilient, localized supply chain.
Focusing on AI-driven digital transformation, APsystems leverages AI across its solar &storage product lines to build a smart energy ecosystem. Key digital launches include "BESS AI" for home energy management, "AP Designer" for power station design, and the "Blue Ocean Navigation" energy internet platform, and the "APbot" smart customer service robot, along with enterprise-wide data platforms, have improved operational efficiency, data compliance, and equipment traceability.
Upholding a people-centric approach, APsystems prioritizes employee care and development, achieving 94.14% employee satisfaction, 100% training coverage. In 2025, APsystems donated over RMB 2.39 million in public welfare supplies – including more than 8,000 solar lamps and 1,800 portable power stations.
In 2026, APsystems will continue to integrate solar &storage as its core growth driver, guided by ESG principles, to advance global green energy solutions and co-build a zero-carbon future with all stakeholders.
*For the complete 2025 ESG Sustainability Report, please click here.
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APsystems Releases 2025 ESG Report: Strengthening Governance and Driving Innovation with AI
HONG KONG, May 11, 2026 /PRNewswire/ -- As AI agents rapidly evolve from experimental tools into productivity systems, AnySearch, a next-generation AI search product purpose-built for AI agents and enterprise AI systems, has officially launched, offering AI agents unified access to high-quality information.
Unlike traditional search engines or AI search products built primarily around public web content, AnySearch is founded on a fundamentally different premise: much of the information most valuable to AI agents is not publicly searchable.
A significant portion of high-value data does not reside on the open web, but within authenticated professional systems such as industry databases, real-time financial terminals, code repositories, academic platforms, and structured API services. As AI agents begin handling increasingly sophisticated tasks — including research and analysis, software development, and security audits — efficiently connecting to and accessing high-quality, fragmented data across multiple sources has become a key challenge for the next stage of AI application development.
The AnySearch team said, "Traditional search engines can only access a small fraction of the internet. But AI agents need far more than webpages — they require secure, reliable, structured, and real-time information that can support reliable reasoning and execution."
To address this challenge, AnySearch aggregates extensive vertical data sources spanning finance, legal, academic research, cybersecurity, energy, and corporate intelligence, among other specialized domains. Through a single unified API, AI agents can directly retrieve accurate, structured results without requiring developers to manage dozens of disparate data interfaces. AnySearch natively supports Skill, MCP, and API connectivity, enabling seamless integration into AI agents, enterprise systems, and automated workflows.
The product is now available across multiple developer ecosystems, including GitHub, skills.sh, ClawHub, SkillHub, and Glama, with users currently receiving 1,000 free API calls per day.
As momentum in the AI search space continues to build, AnySearch is pursuing a distinct path from traditional search engines such as Google, focusing on high-precision, structured search capabilities purpose-built for AI agents.
According to internal benchmark evaluations across Frames, FreshQA, and WebWalkerQA, AnySearch delivered stronger results than public-web-based AI search products in both answer accuracy and execution efficiency. In complex real-world scenarios — including code retrieval, security analysis, real-time business decision-making, and industry research — agents integrated with AnySearch also demonstrated stronger capabilities in information seeking and task completion. Rather than sifting through vast amounts of unstructured web content, AnySearch intelligently routes queries to the most relevant specialized data sources and returns accurate, concise, and execution-ready results.
A growing number of industry observers believe AI is fundamentally reshaping the underlying logic of search. For decades, search engines have focused on helping people access webpages and information. As AI agents become more active across the digital ecosystem, the next generation of search infrastructure will focus on enabling AI systems to better understand the world and autonomously complete tasks.
From this perspective, AnySearch is not positioning itself as just another AI search product, but as a new form of infrastructure for the AI era.
Learn more about AnySearch:
Website: https://www.anysearch.com/
Github: https://github.com/anysearch-ai
X: https://x.com/AnySearchAI
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AnySearch Launches as Search Infrastructure Built for AI Agents
