Browse press releases
The newest releases come first, each with its full text here and a link to its original. Try the filters to narrow them down.
- Circles.co53% of European Consumers Are Open to Switching Mobile Providers as Telco Loyalty Comes Under PressureNew Circles analysis finds price and network quality remain the foundations of retention, while bundles, rewards and personalization must prove their impact on customer loyalty — More than half (53%) of consumers across five of Europe's largest...
- Verizon Waives Charges for Hurricane Lowell, Prepares Network in Hawai'iCompanies: VerizonAt a glance
- 华工科技：华工正源100G SFP112光模块即将亮相CIOE 2026格隆汇9月5日｜华工科技子公司华工正源发布预告，将在CIOE2026现场动态展出100GSFP112光模块，面向5G-A/6G无线前传及高带宽以太网数据互连场景，提供全球最小封装的100G光模块方案。SFP112封装兼容SFP+MSA标准。对比传统QSFP28方案，相同面板空间可部署更多100G端口，功耗和成本更低，密度和总带宽提升显著。
- TECNOTECNO POVA 8 Pro 5G Tonino Lamborghini Limited Edition Launches: A Phone Delivering Italian Aesthetics and Spirit with Power and EnergyTECNO POVA 8 Pro 5G Tonino Lamborghini Limited Edition features iconic Tonino Lamborghini design languages, while upholding the POVA series' signature all-around performance from computing, imaging to — TECNO, the AI-driven innovative technology...
- Xunce Technology Launches TokenCloud, Redefining the Value of Computing Power Through Full-Chain AI Infrastructure and Securing a Leading Position in the Token Economy EraHONG KONG, Sept 3, 2026 - On September 3, Xunce Technology (3317.HK) officially launched the TokenCloud all-in-one AI model training and deployment computing power platform. As the hardware resources and infrastructure that facilitate the conversion of data resources into tokens, TokenCloud builds a four-tier, synergistic ecosystem based on heterogeneous computing devices, powered by mainstream algorithmic models, fueled by multi-source internal and external data, and serving vertical industry clients. It is dedicated to establishing a full-chain value pathway from data to tokens, enabling every piece of data to securely and efficiently unlock its intelligent value, and helping industries across the board transform data resources into genuine AI productivity. The launch of TokenCloud marks Xunce Technology’s formal establishment of a full-chain product closed-loop encompassing “computing power—data—tokens—models—applications.” This achievement signifies a leap from a “digital foundation” to an “AI productivity platform,” securing a strategic vantage point in the token economy era while providing the industry with a model for AI infrastructure that bridges the entire “data-to-token” value chain. Building a Scenario-Driven, End-to-End Closed Loop to Provide Out-of-the-Box AI Infrastructure As enterprise AI applications shift from “proof of technical feasibility” to “competition in engineering efficiency,” systemic challenges—such as computing power shortages, difficulties in model selection, hardware compatibility issues, challenges in optimized deployment, and significant security concerns—are becoming the biggest bottlenecks hindering AI implementation. TokenCloud was created precisely to address these pain points. Positioned as the core “hardware and energy foundation” at the upstream of the token industry chain, it adheres to the principle of “ensuring every unit of computing power precisely serves every enterprise AI scenario.” It has built a complete closed-loop process spanning “scenario identification → model selection → hardware matching → training optimization → secure delivery.” Based on business scenarios and tasks, it intelligently recommends the optimal model and matches it with the most suitable hardware. It then uses distillation optimization to enable lightweight, “specialized” models to achieve accelerated inference with high accuracy, all the way through to secure delivery. With each step seamlessly linked, it provides enterprise customers with out-of-the-box AI infrastructure. In terms of product design, TokenCloud adopts a “full-chain visualization” philosophy, integrating the previously disparate processes of model selection, computing power configuration, security management, and cost assessment in AI deployment into a unified decision-making platform. Comprising five core modules—solution selection, model distillation, data security management, computing power acceleration, and computing resource management—this platform shifts enterprise AI deployment from “rule-of-thumb” approaches to “data-driven decision-making.” It ensures that the return on investment for every computing power allocation is clearly quantifiable, achieving a dynamic balance among performance, cost, and security. Four Core Capabilities Build Competitive Barriers and Enable Deep Synergy Between Models and Computing Power The actual value of a token is determined by four key metrics: first-character latency, generation speed, concurrent processing capacity, and service stability. Through Hardware-Software Co-Optimization, TokenCloud enables the large-scale supply of high-quality tokens—ensuring that every piece of data unleashes its maximum token value through the optimal combination of models and hardware. Specifically, TokenCloud has established industry-leading technological barriers through four core capabilities: a heterogeneous hardware platform, Cloud-Edge Collaboration Architecture, model evaluation and optimization, and secure isolation: Heterogeneous Hardware Platform—Integrates diverse computing resources such as GPUs, NPUs, FPGAs, and CPUs to enable unified management and intelligent scheduling across architectures. It supports full-scenario coverage ranging from hundreds to tens of thousands of cards, abstracting underlying, disparate hardware resources into unified computing units. Cloud-Edge Synergy Architecture—Establishes a hybrid deployment model combining “cloud computing power and on-premises computing power,” enabling elastic scaling to handle large-scale training and high-concurrency inference while ensuring that enterprises’ raw data remains within secure domains. This allows enterprises to enjoy cloud computing power while maintaining full data sovereignty at all times. Model Evaluation and Optimization System—Establishes a comprehensive evaluation framework covering foundational capabilities, scenario adaptation, engineering optimization, and ecosystem value. It supports task-specific distillation optimization, transferring the core capabilities of large models to lightweight scenario-specific models, thereby significantly reducing inference latency and hardware costs while maintaining high accuracy. Of particular importance is computing power acceleration—while chip computing power continues to rise, actual effective throughput remains far below theoretical peak values. Through end-to-end acceleration capabilities, TokenCloud significantly reduces first-token latency and enhances concurrent processing capacity, transforming acceleration cards from “waiting for computation” to “continuous computation.” This enables enterprises to support larger business volumes without additional hardware, achieving the optimal balance between accuracy, speed, cost, and deployment efficiency, and enabling the large-scale supply of high-quality tokens. Security Isolation Mechanism—We build a multi-layered security protection system where data visibility is tiered and data flow is fully traceable throughout its entire journey. Highly sensitive data is 100% locked within the enterprise’s local security domain, with a three-pronged approach combining multi-tenant isolation, encrypted transmission, and access control. Unlike simple computing power rental platforms or model service platforms on the market, TokenCloud achieves deep synergy between models and computing power—the platform centrally determines the degree of model distillation and the hardware for deployment, ensuring the optimal balance of accuracy, speed, cost, and efficiency. It provides enterprise customers with a comprehensive, one-stop service solution—from model selection and hardware matching to distillation optimization—covering the entire “computing power—data—Token—model—application” chain to accelerate the implementation of enterprise AI. Software and Hardware Synergy Closes the Full-Path Loop; Full-Stack AI Products Accelerate Industry Adoption The launch of TokenCloud has enabled Xunce Technology’s full-path product ecosystem to form a complete commercial loop. Previously, the company had introduced the world’s first TokenOS operating system; the two systems have clearly defined roles and operate in synergy. TokenOS focuses on data capabilities, transforming enterprises’ multi-source, heterogeneous data into standardized scenario-based Tokens in real time, thereby addressing the issue of “data usability.” TokenCloud focuses on model training and deployment, as well as “data + model” integration capabilities. It integrates computing power scheduling, model inference optimization, and the refinement, tuning, and orchestration of enterprise-level small models, bridging the entire chain from data ingestion to application deployment and providing hardware service support for Token generation. Through this synergy between software and hardware, combined with the underlying AIDP data resource processing service system and the top-level TokenRouters model outcomes service and scenario integration and exchange center, the two solutions together form a complete “computing power—data—Token—model—application” closed-loop ecosystem. This enables enterprises to significantly reduce deployment costs and improve matching efficiency through the synergy of computing power, data, and models. Xunce Technology has also undergone a comprehensive upgrade from an AI real-time data infrastructure service provider to an integrated AI-to-B infrastructure service provider. Furthermore, Xunce Technology has partnered with multiple domestic GPU manufacturers to focus on the integration of “computing power and data.” As the localization of the full AI stack enters the stage of systematic engineering optimization, TokenCloud has become a key hub connecting domestic heterogeneous computing power with enterprise AI applications, offering significant strategic value within the ecosystem. Currently, the company has expanded into eleven high-value industries, including finance, telecommunications, power, energy, high-end manufacturing, biomedicine, robotics training, commercial space, urban operations, the low-altitude economy, and smart vehicles. In the first half of 2026, the Token business model was successfully implemented in high-value scenarios such as biomedicine, energy dispatch, and industrial quality inspection, laying the groundwork for cross-industry replication. The ultimate goal of computing power is not to simply stack chips, but to ensure that every piece of data can be securely and efficiently converted into token value. As AI transitions from the “model competition” phase to the “deployment competition” phase, enterprises need not isolated computing power or isolated models, but rather an integrated infrastructure capable of combining computing power, data, and models to truly adapt to enterprise business scenarios. Positioned as an integrated AI infrastructure, TokenCloud enables computing power to serve models, models to serve scenarios, and scenarios to generate value, thereby laying a solid computing power foundation for the AI transformation of China’s myriad industries.
- Xunce Technology Launches TokenCloud, Redefining the Value of Computing Power Through Full-Chain AI Infrastructure and Securing a Leading Position in the Token Economy EraHONG KONG, Sept 3, 2026 - On September 3, Xunce Technology (3317.HK) officially launched the TokenCloud all-in-one AI model training and deployment computing power platform. As the hardware resources and infrastructure that facilitate the conversion of data resources into tokens, TokenCloud builds a four-tier, synergistic ecosystem based on heterogeneous computing devices, powered by mainstream algorithmic models, fueled by multi-source internal and external data, and serving vertical industry clients. It is dedicated to establishing a full-chain value pathway from data to tokens, enabling every piece of data to securely and efficiently unlock its intelligent value, and helping industries across the board transform data resources into genuine AI productivity. The launch of TokenCloud marks Xunce Technology’s formal establishment of a full-chain product closed-loop encompassing “computing power—data—tokens—models—applications.” This achievement signifies a leap from a “digital foundation” to an “AI productivity platform,” securing a strategic vantage point in the token economy era while providing the industry with a model for AI infrastructure that bridges the entire “data-to-token” value chain. Building a Scenario-Driven, End-to-End Closed Loop to Provide Out-of-the-Box AI Infrastructure As enterprise AI applications shift from “proof of technical feasibility” to “competition in engineering efficiency,” systemic challenges—such as computing power shortages, difficulties in model selection, hardware compatibility issues, challenges in optimized deployment, and significant security concerns—are becoming the biggest bottlenecks hindering AI implementation. TokenCloud was created precisely to address these pain points. Positioned as the core “hardware and energy foundation” at the upstream of the token industry chain, it adheres to the principle of “ensuring every unit of computing power precisely serves every enterprise AI scenario.” It has built a complete closed-loop process spanning “scenario identification → model selection → hardware matching → training optimization → secure delivery.” Based on business scenarios and tasks, it intelligently recommends the optimal model and matches it with the most suitable hardware. It then uses distillation optimization to enable lightweight, “specialized” models to achieve accelerated inference with high accuracy, all the way through to secure delivery. With each step seamlessly linked, it provides enterprise customers with out-of-the-box AI infrastructure. In terms of product design, TokenCloud adopts a “full-chain visualization” philosophy, integrating the previously disparate processes of model selection, computing power configuration, security management, and cost assessment in AI deployment into a unified decision-making platform. Comprising five core modules—solution selection, model distillation, data security management, computing power acceleration, and computing resource management—this platform shifts enterprise AI deployment from “rule-of-thumb” approaches to “data-driven decision-making.” It ensures that the return on investment for every computing power allocation is clearly quantifiable, achieving a dynamic balance among performance, cost, and security. Four Core Capabilities Build Competitive Barriers and Enable Deep Synergy Between Models and Computing Power The actual value of a token is determined by four key metrics: first-character latency, generation speed, concurrent processing capacity, and service stability. Through Hardware-Software Co-Optimization, TokenCloud enables the large-scale supply of high-quality tokens—ensuring that every piece of data unleashes its maximum token value through the optimal combination of models and hardware. Specifically, TokenCloud has established industry-leading technological barriers through four core capabilities: a heterogeneous hardware platform, Cloud-Edge Collaboration Architecture, model evaluation and optimization, and secure isolation: Heterogeneous Hardware Platform—Integrates diverse computing resources such as GPUs, NPUs, FPGAs, and CPUs to enable unified management and intelligent scheduling across architectures. It supports full-scenario coverage ranging from hundreds to tens of thousands of cards, abstracting underlying, disparate hardware resources into unified computing units. Cloud-Edge Synergy Architecture—Establishes a hybrid deployment model combining “cloud computing power and on-premises computing power,” enabling elastic scaling to handle large-scale training and high-concurrency inference while ensuring that enterprises’ raw data remains within secure domains. This allows enterprises to enjoy cloud computing power while maintaining full data sovereignty at all times. Model Evaluation and Optimization System—Establishes a comprehensive evaluation framework covering foundational capabilities, scenario adaptation, engineering optimization, and ecosystem value. It supports task-specific distillation optimization, transferring the core capabilities of large models to lightweight scenario-specific models, thereby significantly reducing inference latency and hardware costs while maintaining high accuracy. Of particular importance is computing power acceleration—while chip computing power continues to rise, actual effective throughput remains far below theoretical peak values. Through end-to-end acceleration capabilities, TokenCloud significantly reduces first-token latency and enhances concurrent processing capacity, transforming acceleration cards from “waiting for computation” to “continuous computation.” This enables enterprises to support larger business volumes without additional hardware, achieving the optimal balance between accuracy, speed, cost, and deployment efficiency, and enabling the large-scale supply of high-quality tokens. Security Isolation Mechanism—We build a multi-layered security protection system where data visibility is tiered and data flow is fully traceable throughout its entire journey. Highly sensitive data is 100% locked within the enterprise’s local security domain, with a three-pronged approach combining multi-tenant isolation, encrypted transmission, and access control. Unlike simple computing power rental platforms or model service platforms on the market, TokenCloud achieves deep synergy between models and computing power—the platform centrally determines the degree of model distillation and the hardware for deployment, ensuring the optimal balance of accuracy, speed, cost, and efficiency. It provides enterprise customers with a comprehensive, one-stop service solution—from model selection and hardware matching to distillation optimization—covering the entire “computing power—data—Token—model—application” chain to accelerate the implementation of enterprise AI. Software and Hardware Synergy Closes the Full-Path Loop; Full-Stack AI Products Accelerate Industry Adoption The launch of TokenCloud has enabled Xunce Technology’s full-path product ecosystem to form a complete commercial loop. Previously, the company had introduced the world’s first TokenOS operating system; the two systems have clearly defined roles and operate in synergy. TokenOS focuses on data capabilities, transforming enterprises’ multi-source, heterogeneous data into standardized scenario-based Tokens in real time, thereby addressing the issue of “data usability.” TokenCloud focuses on model training and deployment, as well as “data + model” integration capabilities. It integrates computing power scheduling, model inference optimization, and the refinement, tuning, and orchestration of enterprise-level small models, bridging the entire chain from data ingestion to application deployment and providing hardware service support for Token generation. Through this synergy between software and hardware, combined with the underlying AIDP data resource processing service system and the top-level TokenRouters model outcomes service and scenario integration and exchange center, the two solutions together form a complete “computing power—data—Token—model—application” closed-loop ecosystem. This enables enterprises to significantly reduce deployment costs and improve matching efficiency through the synergy of computing power, data, and models. Xunce Technology has also undergone a comprehensive upgrade from an AI real-time data infrastructure service provider to an integrated AI-to-B infrastructure service provider. Furthermore, Xunce Technology has partnered with multiple domestic GPU manufacturers to focus on the integration of “computing power and data.” As the localization of the full AI stack enters the stage of systematic engineering optimization, TokenCloud has become a key hub connecting domestic heterogeneous computing power with enterprise AI applications, offering significant strategic value within the ecosystem. Currently, the company has expanded into eleven high-value industries, including finance, telecommunications, power, energy, high-end manufacturing, biomedicine, robotics training, commercial space, urban operations, the low-altitude economy, and smart vehicles. In the first half of 2026, the Token business model was successfully implemented in high-value scenarios such as biomedicine, energy dispatch, and industrial quality inspection, laying the groundwork for cross-industry replication. The ultimate goal of computing power is not to simply stack chips, but to ensure that every piece of data can be securely and efficiently converted into token value. As AI transitions from the “model competition” phase to the “deployment competition” phase, enterprises need not isolated computing power or isolated models, but rather an integrated infrastructure capable of combining computing power, data, and models to truly adapt to enterprise business scenarios. Positioned as an integrated AI infrastructure, TokenCloud enables computing power to serve models, models to serve scenarios, and scenarios to generate value, thereby laying a solid computing power foundation for the AI transformation of China’s myriad industries.
- Quectel Wireless SolutionsQuectel Expands RG660Qx 5G Module Capabilities for Future Railway Mobile Communication System Evaluation and Railway ApplicationsBELGRADE, Serbia, September 03, 2026--Quectel Wireless Solutions, a global IoT solutions provider, today announced an LGA version of its RG660Qx 5G module series, a high performance, Sub-6GHz 5G module platform that includes support for the Future Railway Mobile Communication System (FRMCS). Used with a dedicated evaluation environment comprising an adaptor board and EVB Kit, the RG660Qx enables equipment manufacturers and railway technology developers to conduct early Future Railway Mobile Comm
- Zebra Technologies CorporationZebra Technologies to Present at Citi's 2026 Global Technology, Media & Telecom ConferenceCompanies: Zebra TechnologiesLINCOLNSHIRE, Ill., September 02, 2026--Zebra Technologies Corporation (NASDAQ: ZBRA), a global leader in digitizing and automating workflows to deliver intelligent operations, today announced that the company will present at Citi's 2026 Global Technology, Media & Telecom Conference in New York, N.Y., on Wed., Sept. 9 at 8:10 a.m. U.S.
- Verizon prepares network for potential Tropical Storm EdouardCompanies: VerizonAt a glance
- Castanet to Partner with Rypplzz on Deployment of Powerful and Precise Wireless Geospatial Positioning SystemLOS ANGELES, August 31, 2026--Spatial intelligence leader, Rypplzz, has partnered with Castanet Corporation, the leading innovator in the transformation of television stations into hybrid 5G Broadcast internet infrastructure for physical AI, to elevate nationwide terrestrial over-the-air geospatial positioning. Through the new partnership, Castanet will embed Rypplzz technology into its hybrid ATSC 3.0 + 5G Broadcast Internet network, unlocking exact three-axis (X, Y, Z) Position, Navigation, an
- 建橋教育公佈2026年上半年業績 聚焦高質量辦學 經營實現穩步向好香港, 2026年8月31日 - 華東地區領先、上海最大型的高等職業教育集團‑‑上海建橋教育集團有限公司 （「建橋教育」或「公司」，連同其附屬公司，統稱「集團」，股份代號：1525.HK），欣然公佈截至 2026 年 6 月 30 日止六個月 (「報告期內」) 之未經審核中期業績。 報告期內，集團錄得收益約5.69億元（人民幣，下同），同比增長6.6%；毛利約3.54億元，同比增長11.7%；期內溢利約1.79億元，同比增長10.2%。母公司普通權益持有人應佔每股基本及攤薄盈利為人民幣 0.45元，去年同期為人民幣 0.41元。業績增長主要得益於報告期間每名學生的平均學費及寄宿費水平提升，以及教育相關服務收入的增加。公司董事會已決議派付截至2026年6月30日止六個月每股普通股0.04港元的中期股息, 彰顯公司長期穩定的股息政策。 政策紅利持續釋放，臨港區位優勢鞏固發展根基 作為上海最大型的民辦大學，上海建橋學院（「學院」）充分受益於國家職教政策與臨港特區政策的雙重支持。2025年2月，臨港新片區管理委員會印發《中國（上海）自由貿易試驗區臨港新片區產教融合高質量發展行動計劃（2025-2027）》，文件明確支持學院建設產教融合型大學；同年 12 月，《上海市「臨港科創城」建設方案》落地，鼓勵高校參與區域創新發展，為集團帶來政策、資源層面的發展機遇。 國家層面，2026年2月教育部印發《教育部關於深化職業教育教學關鍵要素改革的意見》，聚焦產教融合關鍵環節。6月，國務院印發教育發展「十五五」規劃，啟動高水平應用型本科高校「雙優」建設，引導高校圍繞產業鏈建設特色學科專業集群。在多重政策驅動之下，學院立足臨港新興產業集聚的區位條件，將區位優勢轉化為辦學競爭力。截至2025年8月31 日，學院 2025 屆畢業生長三角地區就業占比 77.5%，上海地區就業占比59.2%，充分體現了學院深度融入區域發展生態的辦學成效。 教學建設扎實提質，數智化轉型縱深推進 學院堅持以教學質量為核心，持續推進師資隊伍，課程體系與智慧校園建設。師資方面，截至2025年9月30日，專任教師碩士及以上學位佔比86.4%，博士學位佔比28.8%，高級職稱佔比38.6%，雙師型教師佔比47.8%。立足應用型大學的辦學定位，學院大力推進專業教師到企業踐習，舉辦產教融合專題研修班，提升教師產教融合意識和能力。 專業與課程建設方面，2026/27學年新增人工智能、電子封裝技術兩個本科專業，緊扣集成電路、人工智能等重點產業需求。學院聚焦課程內涵建設，構建校級‑市級‑國家級三級課程培育體系，加強實踐教學和素質教學。2025年，學院12門課程入選上海市一流本科課程，獲批數量同比增長50% ，創歷史新高； 26門課程獲批上海高校市級重點課程立項，立項總數位列全市高校第七位，成為唯一躋身前十的民辦高校，覆蓋「AI + 課程」、「產教融合課程」等多類型課程。2025年，珠寶學院《寶石地質基礎及結晶礦物學》課程成功入選「線上線下混合式一流課程」，實現了學院在國家級一流課程建設中零的突破。2026 年5月，機電學院《智能製造裝備基礎》課程入選全國「智能製造優秀課程」案例集。 集團持續深化對教學科研儀器設備及教學實驗室的升級改造。學院部署了集成高清攝像、智能音頻及高速網絡的智慧教室，並搭建了覆蓋人才培養、教學、質量監控全流程的智慧教學體系。同時，集團積極探索人工智能與教育深度融合，將AI、5G、VR等技術嵌入教學過程，並啟動基於DeepSeek的垂直領域教育應用大模型建設，打造服務、管理、教學三大智能體。 產教融合轉型持續深化，多元教育生態不斷完善 集團全力推進產教融合型大學建設，推行「二級學院 + 產業學院 + 實體公司」三位一體運營模式，努力實現「產、學、研、創」四位一體協同發展。截至2026年6月30日，學院已先後開展7個重點產教融合項目，覆蓋機電學院、新聞傳播學院、商學院、藝術設計學院和珠寶學院。學院已成立醫工產業學院、直播經濟產業學院、大數據產業學院，並積極籌建集成電路產業學院及智能製造產業學院，努力打造多賽道產業學院協同、全方位產教融合的特色辦學格局。 國際合作穩中有進，對外交流持續拓展。學院與美國沃恩航空科技大學、日本京都情報大學院大學、英國提賽德大學等海外院校開展專升碩、本升碩、雙學士等合作項目；2025年新簽約德國、英國、新西蘭、泰國等11所海外高校，拓寬師生海外交流渠道。作為上海市第一所獲得留學生招生資質的民辦高校，學院還吸引了來自全球多個國家的留學生，形成了長期與短期相結合的留學生教育體系。 學院擁有完善的終身教育體系。以上海市「雙元制」職工繼續教育高校試點基地為平台，學院構建了成人高等教育、職業技能培訓、青少年科創教育等一體化、多領域、跨年齡的知識更新與能力提升的終身教育體系。截至2026年6月30日，學院成人繼續教育在職學生數達3,316人, 累計提供400餘種類型的職業技能證書培訓。 財務狀況保持穩健，資產負債結構持續優化 報告期內，得益於2025年末提前償還大部分長期銀行借款，集團融資成本同比大幅下降69.0%；於2026年6月30日, 計息銀行借款規模下降至人民幣2.767億元，財務槓桿比率維持在0.1，財務狀況更趨穩健。 展望未來，建橋教育董事會主席及執行董事趙東輝先生表示：「2026年上半年集團業績實現穩健增長，驗證了高質量發展戰略的可行性。未來，集團將繼續堅持『育人為本，教學為本，本科為本』辦學理念，堅持『品質核心，教學中心，學生本位，教師主體』的工作思路，推動學校事業高質量發展。集團也將充分把握歷史機遇，積極主動服務國家推動職業教育高質量發展的戰略及臨港打造『全球動力之城』的區域發展戰略，培養更多高素質技術技能人才，並加快向產教融合型大學轉型，努力將本學院建設成為辦學特色更鮮明、具有國際影響力的中國一流民辦大學，爭當中國高等教育高質量發展長跑者。」 關於上海建橋教育集團有限公司 建橋教育（股份代號：1525.HK）為一家提供本科及專科教育的高等職業教育集團，專注高質量辦學，為學生提供優質教育。集團於中國（上海）自由貿易試驗區臨港新片區運營國內領先民辦大學上海建橋學院，按2025/26學年的全日制在校生人數而言，學院為上海最大型的民辦大學，亦為整個長江三角洲領先的民辦大學。根據中國校友會網，學院連續五年蟬聯中國民辦大學排名I類第三名，並連續七年蟬聯長三角民辦大學第一名。辦學26年來，學院辦學品質處於同類院校頂尖水準，品牌積澱廣受讚譽。自2004年起，學院連續18年獲九屆「上海市文明單位」榮譽稱號，多次獲評「全國文明單位」「上海市花園單位」「上海市安全文明校園」等榮譽稱號，於2024年4月獲選全國首批「雷鋒精神高校示範教育基地」，於2024年9月榮獲「新時代傳播雷鋒精神貢獻獎」。2025年2月和3月，學院先後獲評「2023-2024年度上海高校信息公開工作優秀單位」及「2024年度上海市教育系統信訪工作優秀單位」。 此新聞稿由博達浩華國際財經傳訊集團代上海建橋教育集團有限公司發佈。如有垂詢，請聯絡： 博達浩華國際財經傳訊集團 電郵︰[email protected]
- Gench Education Announces 2026 Interim Results, High-Quality Education Delivers Steady Business GrowthShanghai Gench Education Group Limited (“Gench Education” or the “Company”, together with its subsidiaries, the “Group”, Stock Code:1525.HK) -- the leading higher vocational education group in East China and the largest higher vocational education group in Shanghai, delightedly announced the unaudited consolidated interim results for the six months ended 30 June, 2026 (the “Reporting Period”). During the Reporting Period, the Group recorded revenue of approximately RMB569 million, representing an increase of 6.6% year-on-year (“YoY”). Gross profit was RMB354 million, up 11.7% YoY; Profit for the year was RMB179 million, a YoY rise of 10.2%. Basic and diluted earnings per share attributable to ordinary equity holders of the parent were RMB0.45, compared to RMB0.41 in the same period last year. The growth in performance was primarily attributable to the rise in average tuition fees, boarding fees per student, and revenue from education-related services during the Reporting Period. The Board has resolved the payment of an interim dividend of HKD$0.04 per ordinary share for the six months ended 30 June 2026, maintaining a stable dividend policy. Policy Dividends Continued to Be Released, Lingang’s Location Advantages Solidified Growth Foundation As the largest private university in Shanghai, Shanghai Jian Qiao University (the “University”) has fully benefited from dual support from national vocational education policy and Lingang special area policy. In February 2025, the Management Committee of Lingang New Area issued “the Action Plan for High-Quality Development of Industry-Education Integration in Lingang New Area of China (Shanghai) Pilot Free Trade Zone (2025-2027)”, explicitly supporting the University in building itself into an industry-education integration university. In December 2025, “Shanghai Lingang Science and Technology Innovation City Construction Plan” was launched, encouraging universities to participate in regional innovation development and bringing the Group opportunities in terms of policy support and resources. At the national level, in February 2026, the Ministry of Education issued the “Opinions of the Ministry of Education on Deepening the Reform of Key Elements in Vocational Education and Teaching”, which focuses on the key links of industry-education integration. In June 2026, the State Council issued the “Education Development Plan for the Fifteenth Five-Year Plan Period” (the “Plan”), which proposes launching the “Dual Excellence” construction of high-level application-oriented undergraduate universities, and leading and driving universities to focus on cultivating distinctive disciplinary specialty clusters around key industrial chains. Driven by these multiple policies, the University has leveraged its location in Lingang’s emerging industry agglomeration to transform its geographical advantages into institutional competitiveness. As of 31 August 2025, 77.5% of the University’s 2025 graduates were employed in the Yangtze River Delta region and 59.2% in Shanghai, which fully demonstrated the University’s effective integration into the regional development ecosystem through its educational outcomes. Teaching Quality Has Been Steadily Enhanced, While Digital and Intelligent Transformation Has Been Vigorously Advanced The University remains committed to teaching quality as its core priority, with ongoing efforts to strengthen faculty capacity building, curriculum development and smart campus construction. In terms of faculty, as of 30 September 2025, among the full-time teachers, the master degree or higher accounted for 86.4%, the doctoral degree accounted for 28.8%, the senior title accounted for 38.6%, and the double-position accounted for 47.8%. Grounded in its positioning as an application-oriented technological university, the University vigorously promotes professional teachers to practice in enterprises, organizes thematic workshops on industry education integration, and enhances teachers’ awareness and competence in industry-education integration. In terms of program and curriculum development, in the 2026/27 school year, the University has introduced two undergraduate majors, namely the Artificial Intelligence and the Electronic Packaging Technology, closely aligning with the demands of key industries such as integrated circuits and artificial intelligence. The University focuses on courses connotative construction, constructs “school level – city level – national level” 3-level courses building system, and enhances practical teaching and quality teaching. In 2025, 12 courses were selected as Shanghai first class undergraduate courses - the number of approved courses showed a YoY increase of 50%, reaching a historic new high. Besides, 26 courses were approved as Shanghai higher education municipal level key courses - the number of approved courses ranked the 7th place among higher education institutions in Shanghai, and thus became the only private university in the top 10. The courses cover various types including “AI+courses” and “industry-education integration courses”. In 2025, the “Fundamentals of Gemstone Geology and Crystallography” course of the College of Jewelry was selected as a “Online/Offline Hybrid First-Class Course”, achieving a breakthrough for the University in the construction of national first-class courses. In May 2026, the “Fundamentals of Intelligent Manufacturing Equipment” course of the College of Mechanical and Electronic Engineering was included in the national case collection of “Excellent Intelligent Manufacturing Courses”. The Group continues to deepen the upgrading and renovation of teaching and research instruments and equipment as well as teaching laboratories. The University has deployed smart classrooms integrated with high-definition cameras, intelligent audio devices and high-speed networks, and has built a smart teaching system covering the entire process of talent cultivation, curriculum teaching and quality monitoring. Furthermore, the Group has actively explored the deep integration of AI and education, embedded technologies such as AI, 5G, and VR into the teaching process, and initiated the construction of a DeepSeek-based large model for vertical-domain educational applications, thereby creating three intelligent agents for services, management, and teaching. Industry-Education Integration Has Been Further Deepened, While the Diversified Education Ecosystem Has Been Continuously Improved The Group is fully committed to building an industry-education integrated university. It implements a tripartite operational model integrating “academic schools + industrial colleges + corporate entities”, striving to achieve the synergistic development of “industry, academia, research, and innovation” as an integrated whole. As of 30 June 2026, the University has successively launched seven key industry-education integration projects covering the College of Mechanical and Electronic Engineering, the College of Journalism and Communications, the Business College, the College of Art Design and the College of Jewelry. It has established Medical Engineering Industrial College, the Live Streaming Economy Industrial College, and Big Data Industrial College, is actively preparing for the establishment of the Integrated Circuit Industrial College and the Intelligent Manufacturing Industrial College, and endeavors to create a distinctive educational framework featuring multi-track industry and college collaboration and comprehensive industry-education integration. International cooperation has made steady progress, while external exchanges have continued to expand. The University works with Vaughn College of Aeronautics and Technology, The Kyoto College of Graduate Studies for Informatics, Teesside University, among others, in junior college to master’s program, undergraduate to master’s program, dual bachelor’s program and other programs. In 2025, the University contracted with 11 overseas famous universities/colleges in Germany, United Kingdom, New Zealand, Thailand and other countries, to expand teachers and students’ overseas exchange channels. As the first private university in Shanghai that has obtained the qualification to recruit international students, the University also attracts international students from many countries around the world and forms an international student education system that combines long-term and short-term programs. The University has a well-established lifelong education system. With the Shanghai “Dual-system” Pilot Base for Continuing Education of Employees in Higher Education Institutions (Incubation) as a platform, the University has built an integrated, multi-field and cross-age lifelong education system for knowledge updating and ability enhancement, covering adult higher education, vocational skills training, and youth science and innovation education. As of 30 June 2026, the number of in-service students enrolled in the University’s adult continuing education programs amounted to 3,316, and a total of over 400 types of vocational skill certificate training had been provided. Financial Position Remains Sound, While the Asset-Liability Structure Has Been Continuously Optimized During the Reporting Period, finance costs of the Group decreased by 69.0% YoY, which was primarily due to the result of early repayment of most of long-term interest-bearing bank borrowings by the end of 2025. As at 30 June 2026, the scale of interest-bearing borrowings decreased to RMB276.7 million, with the gearing ratio remaining at 0.1. The financial position has become more robust. Looking forward, Mr. Zhao Donghui, Chairman of the Board and Executive Director of Gench Education, stated: “The Group’s performance in the first half of 2026 achieved steady growth, validating the feasibility of its high-quality development strategy. In the future, we will continue to adhere to the educational philosophy of ‘student-oriented, teaching-centred, undergraduate-focused’ and the work ideology of ‘quality as the core, teaching as the centre, students as the base, teachers as the principal’ to promote the high-quality development of our undertakings. We will also fully capitalize on this historic opportunity by proactively aligning with the national strategy of promoting the high-quality development of vocational education and with Lingang’s regional initiative of becoming a ‘Global Hub of Power’, cultivate more high-quality technical and skilled talents, and accelerate the transformation to an industry-education integration university, and strive to build our University into a first-class private university in China with more unique features and international standing and a long-distance runner for the high-quality development of higher education in China.” About Shanghai Gench Education Group Limited Gench Education (Stock Code: 1525.HK) is a higher vocational education group which provides undergraduate education and junior college education, focusing on high-quality schooling for the provision of excellent education for students. The Group operates Shanghai Jian Qiao University, being the domestic leading private university, at Lingang New Area of China (Shanghai) Pilot Free Trade Zone. As measured by the number of full-time students enrolled in the 2025/26 school year, the University is the largest private university in Shanghai and is also a leading private university in the entire Yangtze River Delta. According to CUAA.net , the University ranked third among all category I private universities in China for five consecutive years and first among private universities in the Yangtze River Delta for seven consecutive years. Over 26 years of operation, the schooling quality of the University ranked in the forefront of peer universities, which has accumulated a solid brand reputation. Since 2004, the University has been consecutively awarded “Shanghai Civilized Unit” over 18 years. The University has won numerous honorary titles such as “National Model Unit of Civilization ”, “Shanghai Garden Unit”, “Shanghai Safe and Civilized Campus”, etc. The University has also been granted reputable title of “Lei Feng Spirit College Demonstration Education Base” among the first batch of universities in the PRC in April 2024, and was awarded the “Contribution Award for Promoting Lei Feng Spirit in the New Era ” in September 2024. In February and March 2025, the University was successively recognized as an “Outstanding Unit in Information Disclosure Work among Shanghai Higher Education Institutions for 2023-2024” and an “Outstanding Unit in Petition Work within the Shanghai Education System for 2024”. This press release is issued by Porda Havas International Finance Communications Group on behalf of Shanghai Gench Education Group Limited. For further information, please contact: Porda Havas International Finance Communications Group E-mail: [email protected]