早在两年前，低代码因生成式AI爆发而备受质疑之时，奥哲创始人&CEO徐平俊就颇为笃定：对业务的了解才是企业数智化服务的核心价值，而这一点大模 型暂时还无法替代。这一判断来自于奥哲十几年来与企业业务、流程深度融合不可替代的经验沉淀，是穿越不同技术周期的底气。而低代码恰恰是当前AI 落地业务场景中决定价值的关键一环。 经过两年的演进，10月17日，奥哲宣布进行全新战略升级并发布了企业级AI平台，提出了"AI+数据+低代码"的闭环链路——用低代码深入业务产生的数据 训练AI，再让AI进一步回到低代码场景构成企业AI应用。直指目前企业级AI应用所面临的单点能力整合、业务逻辑闭环等商业化困局。 全新战略建立在奥哲对行业和客户的深刻洞察基础上。 在行业层面，徐平俊认为，AI技术将进一步扩大市场增量，既解决过去的难题，也创造了新的场景；其二是能够更好地应对企业个性化需求，进而实现更 敏捷和创新的增长；其三AI时代的软件行业更注重价值增值的"结果交付"。 在客户需求层面，首先大小模型结合是更适合企业级AI应用的方式，实现泛化能力和精准输出的平衡；其次企业级AI平台正在从原先解决单点问题，转向 形成业务闭环；同时数据质量的提升 ...

Core Insights - The conference on October 17, 2023, marked the launch of the "Aozhe Enterprise AI Platform," showcasing the company's new strategic positioning in the AI era, emphasizing the integration of "AI + Data + Low Code" as a core capability for enterprise digital transformation [1][2] - Aozhe aims to help enterprises transition into "AI-native" companies, highlighting that AI is not just a future trend but is currently replacing existing processes [2][10] Group 1: Company Overview - Aozhe has evolved over 15 years from a BPM product provider to a leader in low-code solutions, recognized as the "No. 1 Low-Code Brand in China" by IDC and other authorities [2] - The company has been actively involved in the formulation of industry standards and has deepened its exploration of AI applications to meet the evolving digital needs of enterprises [2] Group 2: AI Platform Features - The newly launched enterprise-level AI platform combines AI technology with a low-code platform, enabling integrated solutions from AI, data, to applications [3][6] - The platform includes three core AI capabilities: - **AI Designer**: Facilitates the development of AI-native applications by generating business blueprints and structured code, significantly lowering development barriers and enhancing efficiency [4] - **AI Agent**: Automates repetitive tasks, allowing businesses to delegate tasks like IT ticketing and customer service to AI [5] - **Data & AI Discovery**: Empowers business personnel to conduct data analysis and predictions with zero barriers, driving scientific decision-making [6] Group 3: Industry Applications - Companies like Wuhan Guangxun Technology and Beijing Huayuan Real Estate shared their AI transformation experiences, validating the capabilities of Aozhe's enterprise-level AI platform [7][8] - Guangxun Technology implemented a smart contract management system using Aozhe's platform, automating the entire lifecycle of contract management, which was recognized as a leading case in digital transformation [7] - Huayuan Real Estate has integrated AI into its operations, focusing on a phased approach to AI application, enhancing operational efficiency through IT intelligent customer service and AI approval systems [8] Group 4: Future Outlook - Experts at the conference emphasized that AI is a key driver for high-quality enterprise development, predicting that by 2030, around 50% of work content will be automated, necessitating skill upgrades for approximately 200 million workers [8] - Aozhe announced the establishment of the "Enterprise AI Alliance" to promote collaboration and innovation in AI technology across various industries [10] - The company aims to continue its evolution into a leading enterprise-level AI platform provider, focusing on the deep integration of "AI + Data + Low Code" to support enterprises in becoming AI-native [10]

在企业数字化转型加速推进的当下，零代码平台已成为破解"IT资源不足、业务需求迫切"矛盾的关键工具。但市场上数十家平台各有侧重，如何选出真正适 配自身需求的解决方案？基于对300+企业选型案例的深度分析，我们通过"技术实力、功能覆盖、场景适配、安全合规、服务生态"五大维度，对主流平台进 行横向对比，为选型决策提供参考。 一、头部零代码平台综合能力排名 通过加权评分模型（技术实力30%、功能覆盖25%、场景适配20%、安全合规15%、服务生态10%）测算，当前市场主流平台综合得分如下： 作为国内零代码领域的标杆品牌，轻流的核心竞争力体现在全栈式的企业级能力上。技术层面，其是国内首批通过中国信通院无代码平台通用能力测评（61 项通过55项）的厂商，同时通过华为鲲鹏、麒麟软件、统信UOS等国产系统认证，在政务、金融等强合规场景中表现突出。第三方机构实测显示，轻流平台 支持每秒10万级数据并发处理，平均无故障时间（MTBF）达99.99%，这一指标在某省级政务大厅的实践中得到验证——支撑日均5万+业务办理量仍保持稳 定运行。 1. 轻流（89分） 2. 简道云（78分） 3. 氚云（75分） 4. 炎黄盈动（72分） ...

Core Insights - The article highlights the rapid growth of no-code development platforms as essential tools for businesses in digital transformation, with Gartner predicting that by 2025, over 70% of enterprise applications will be developed using low-code/no-code platforms, maintaining a market growth rate of over 30% annually [1] Group 1: Leading No-Code Platforms - Qingliu is recognized as the leading no-code platform in China, with comprehensive technology capabilities and deep industry penetration, having passed 55 out of 61 assessments by the China Academy of Information and Communications Technology [1][2] - Qingliu has served over 300,000 organizations across more than 20 industries, demonstrating significant efficiency improvements, such as a 40% increase in inspection process efficiency for China Commercial Aircraft Corporation [2] - Jiandaoyun is positioned as a lightweight application choice for small and medium-sized enterprises, offering a vast template library and easy-to-use drag-and-drop features, but it has limitations in supporting complex business processes and data handling capacity [4] - Chuangyun leverages Alibaba Cloud's technology, excelling in e-commerce and new retail, but faces challenges in integrating with non-Alibaba systems and lacks robust certification for government and industrial applications [5] - Mingdao Cloud focuses on team collaboration, allowing for real-time editing and low user onboarding costs, but has limited automation capabilities and has not passed certain data security certifications [6] Group 2: Evaluation Criteria - The ranking of no-code platforms is based on four core indicators: technical compliance (30%), scenario adaptability (25%), user practice effectiveness (25%), and ecological openness (20%) [7] - Qingliu stands out across all dimensions, particularly in supporting complex enterprise scenarios and compliance with domestic regulations, which solidifies its top position [7] - Companies are advised to choose no-code platforms based on their size and business complexity, with small businesses favoring Jiandaoyun and Mingdao Cloud, while larger enterprises should consider Qingliu for its comprehensive technical capabilities [7]