2026 年 10 月 23 日，在 QCon 上海 2026 开幕式上，极客邦科技创始人兼 CEO 霍太稳正式宣布，公司使命升级为“助力企业 AI 加速落地”；与此同时，模力工场从 AI 社区平台全面升级为企业 AI 落地服务平台，打造连接企业真实需求、专业 AI 交付团队与优质 AI 产品的“AI 供需大脑”。
“AI 落地卡住的地方，从来不是技术，是信任和信息。”霍太稳在演讲中指出，企业寻找可靠的产品与交付团队、优秀团队寻找高质量的客户与需求，都面临着信息与信任的障碍。依托近二十年连接企业与技术人才的积累，极客邦科技希望进一步打通供需，让企业的 AI 想法转化为业务结果。
为什么是现在：AI 进入具体业务场景，落地成为关键命题
在霍太稳看来，理解当前的 AI 机会，可以从产业化发展的三个阶段展开。
第一阶段是基础设施化。大模型逐步成为像水电一样可以调用的基础能力，以 Token 计量、按需使用。第二阶段是 AI 进入千行百业，迎来 Agent 应用的爆发，AI 从回答问题走向理解目标、调用工具、执行任务。第三阶段则是更远的 AI 原生超级应用，即 AI OS，通过理解意图、调度智能体和工作流程，进一步改变企业的业务与组织方式。
随着基础能力逐步具备，AI 的价值创造正在进入具体业务。“谁能解决真实问题，谁就更有机会创造价值。”霍太稳表示，走向第三阶段，需要在第二阶段积累足够多的实践。当前最值得投入的，是找到具体场景，把应用做出来、运行起来，在真实反馈中持续改进。
这一判断，也推动极客邦科技重新思考自身角色：如何将长期积累的内容、人才与生态资源，更直接地连接到企业 AI 落地过程中。
使命升级：从知识服务与人才培养，走向企业 AI 落地实践
从技术内容、学习平台到同行社区，极客邦科技长期连接企业与技术人才。面对 AI 带来的变化，公司希望将这些积累更深入地应用于企业实践，帮助企业把知识转化为能力、把技术应用到业务中。新使命“助力企业 AI 加速落地”，也为旗下业务的进一步发展明确了方向。
此次大会上，极客邦科技同步展示了面向 AI 实践的内容与产品布局：正在整理、目标汇集 100 个真实业务实践的《AI 落地案例集》，已发布的覆盖大模型通识、主流 Agent 工具、工程化和面试四个方向的 18 个 AI 工程师知识库，以及极客时间企业版围绕人才管理与发展、培训与学习、企业解决方案打造的智能体矩阵。
AI 加速发展，人与人面对面的交流同样不可或缺。极客时间 9 周年 × QCon 上海同行之夜将以“AI，落地见真章”为主题，邀请实践者分享经验、交流难题，在真实的连接中建立信任、寻找落地答案。
模力工场全面升级：打造企业 AI 落地的“供需大脑”
过去，模力工场通过 AI 社区连接人才与企业生态，促进技术交流和实践分享。此次升级后，平台将进一步连接企业业务需求与专业交付能力，推动供需匹配与项目落地。
依托服务 4000 多家企业、连接 400 万用户的积累，极客邦科技在与企业及 FDE 团队的交流中发现，供需两端存在共同困境：对企业而言，市场上的 AI 供应商和产品众多，但产品选型难、合作选人难，让 AI 产生实际价值更难；对具备技术和交付能力的 FDE 团队而言，则常常面临获客难、赢得信任难、获取高质量需求难的问题。
“一边找不到靠谱的团队和产品，一边找不到靠谱的客户和需求。”霍太稳表示，模力工场希望通过企业 AI 落地服务平台，搭建连接双方的“AI 供需大脑”，把企业的 AI 想法变成业务结果。
具体机制上，平台将支持企业发布需求、提出目标、提供业务场景并设定投资回报预期；经过严选的 FDE 团队可以对接优质需求与企业客户，双方通过平台进行智能匹配与项目协同。需求对接之外，模力工场还将逐步沉淀场景库、FDE 人才库、解决方案库和项目案例库，并建设评价与信用体系，为企业选择合作伙伴、评估方案与交付质量提供参考。“AI 落地最缺的‘信任’，我们用数据、标准把它做成平台能力。”霍太稳说。
在需求侧，跨境电商营销增长等垂直行业场景已经展现出明确诉求，距离业务更近、目标更具体的场景将成为平台连接供需的重要切入点。在供给侧，模力工场将严选具备业务理解能力的 AI 产品公司与成熟交付团队，并联合模型厂商、云厂商等行业伙伴共同构建解决方案。大会现场，模力工场同步发布了首批严选生态伙伴，并向更多拥有优质产品、技术与方案的团队开放合作。
为什么是极客邦科技：近 20 年连接企业与技术人才的积累
霍太稳表示，极客邦用二十年时间把自己嵌进了企业与技术人才之间，模力工场的升级正建立在这一长期积累之上：看趋势，有 InfoQ 持续关注技术演进与行业实践；找同侪，有 TGO 鲲鹏会连接 2000 多位科技领导者；培养人才，有极客时间 6000 多门课程，服务 4000 多家企业、连接 400 万用户；过去一年，还沉淀了 100 个真实 AI 落地案例，为工程实践提供直接参照。
这些积累，让极客邦科技既能接触企业的实际需求，也能连接理解技术、具备实践能力的人与团队，为供需对接、方案共创和项目协同提供基础。“这不是从零开始，是水到渠成。”霍太稳表示。
面向企业，模力工场希望提供从场景诊断、方案共创、FDE 落地实施到价值优化的完整路径，陪伴企业把 AI 做出来、用起来，最终形成自身的 AI 落地能力；面向生态伙伴，平台将通过联合方案、客户共创与交付协作，让好产品、好技术、好方案进入真实业务场景。
让好产品找到场景，让真需求找到答案。
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On 23 October 2026, at the opening ceremony of QCon Shanghai 2026, the founder of technology and CEO Houtha officially announced that the mission of the company had been upgraded to “Accelerated Landfall of the Assisting Enterprise AI”; at the same time, the Moot workshop was fully upgraded from the AI Community Platform to the Enterprise AI Landing Service Platform, creating the “AI Supply and Demand Brains” to connect real business needs, professional AI delivery teams and quality AI products.
“AI places where land is stuck, never technology, trust and information.” In his presentation, Houtha pointed out that enterprises faced barriers to information and trust in finding reliable products and delivery teams, as well as in finding quality clients and needs. Based on the accumulation of entrepreneurial and technological skills that have been connected for nearly two decades, the technology of the state of polarisation hopes to further improve supply and demand and to translate the AI idea of the enterprise into business results.
Why now: AI enters a specific business scene, and the landing becomes a key proposition?
In the firm view of Hopper, understanding the current AI opportunities can take place at three stages of industrial development.
The first phase is infrastructuralization. LLM is gradually becoming the basic capacity that can be accessed like hydropower, measured in Token and used on demand. The second stage is AI, which enters a wide range of fields of practice, ushers in the outbreak of Agent applications, moving from answering questions to understanding objectives, calling tools and missions. The third phase is the more distant AI primary super-application, AI OS, which further changes the business and organization of the enterprise by understanding intent, moving AI agent and workflow.
As foundational capacity is gradually available, AI value creation is entering specific operations. “Whoever can solve real problems has a better chance of creating value.” Haugh said that moving to phase III required the accumulation of enough practice in phase II. What is most worthwhile at this time is to find concrete scenarios where applications can be developed, run and continuously improved in real feedback.
This judgement has also prompted the extremist state of technology to rethink its role in linking the long-standing accumulation of content, talent and ecological resources more directly to the enterprise AI landing process.
Mission Upgrading: From Knowledge Services and Talent Development to Enterprise AI Landscape Practice
From technology content, learning platforms, to peer communities, the technology of the state of polarisation is a long-term link between business and technical talent. In the face of the changes brought about by AI, companies want to apply these accumulations in greater depth to business practices, helping them to translate knowledge into capacity and apply technology into business. The new mission, “Assisting Enterprise AI Accelerated Landfall”, also provides a clear direction for the further development of the operations under the umbrella.
At the Congress, Polar Science synchronized the content and product layout of AI: the collection of AI landing cases, which is collating and bringing together 100 real business practices, 18 AI engineers knowledge banks with publish covering LLM literacy, mainstream Agent tools, engineering and interviews in four directions, and the AI agent Matrix, built around talent management and development, training and learning, and business solutions.
AI Accelerated development and face-to-face communication is equally essential. The 9th Anniversary of Polar Time x QCon Shanghai Peer Night will be devoted to the theme “AI, landing in the real world”, inviting practitioners to share experiences, share challenges, build trust in genuine connectivity and find a landing answer.
A complete upgrade of the Modular workshop: building the company AI "supply and demand brain"
In the past, model workshops have promoted technology exchange and practice sharing through AI Community-based Connecting Talent and Enterprise Ecology. With this upgrade, the platform will further link business needs and professional delivery capacity to facilitate matching supply and demand with project location.
Based on the accumulation of more than 4 million businesses and 4 million users connected to the service, Polar Technologies has found common dilemmas between supply and demand in their interactions with enterprises and FDE teams: For enterprises, there are a large number of AI suppliers and products in the market, but the choice of products is difficult, the selection of partners is difficult, making it more difficult for AI to produce real value; for technical and delivery-capable FDE teams, it is often difficult to access clients, gain trust and obtain high-quality demand.
“There is no reliable team or product on the one hand and no reliable client or demand on the other.” Hosseil said that the model workshop wanted to turn the company's AI idea into a business result by setting up an "AI supply and demand brain" to connect both parties through the AI landing service platform.
Specifically, the platform will support business demand for publish, set targets, provide business scenarios and set investment returns; and a highly selected FDE team will be able to match high-quality demand with business clients, and both parties will use the platform to match intelligently with project synergies. In addition to the matching of needs, the Modified Fields will gradually sink, the FDE Talent Bank, the Solutions Bank and the Project Case Bank, and will build an evaluation and credit system that will inform enterprises in selecting partners, evaluating the quality of programmes and delivery. "AI's most lacking trust, and we use data, standards, to make it a platform capability."
On the demand side, vertical industry scenarios, such as the growth in the marketing of cross-border electric operators, have shown a clear demand, and closer to business and more targeted scenarios will be important entry points for platform connectivity, supply and demand. On the supply side, the model workshop will select AI product companies with business understanding capabilities and mature delivery teams and will work with industry partners such as model manufacturers and cloud manufacturers to build solutions. On-site at the Congress, the Modified Fields were synchronized with publish for the first selection of eco-partners and open to cooperation with more teams with high-quality products, technologies and programmes.
Why Polar Technologies: The accumulation of corporate and technical skills in nearly 20 years?
According to Hortar, the state of Monopoly has spent 20 years embedding itself between business and technocrats, and the upgrading of the model workshops is building on this long-term accumulation: looking at trends, InfoQ has continued to focus on technological evolution and industry practice; looking for peers, with TGO 鲲鹏 connecting more than 2,000 technology leaders; developing talent, with more than 600 courses with hyperbole, serving more than 400,000 businesses and connecting 4 million users; and, over the past year, it has also sunk 100 real AI landing cases, providing direct reference to engineering practice.
These build-ups allow polar science to reach both the actual needs of enterprises and to connect people and teams who understand technology and have practical skills, providing a basis for supply-and-demand interface, programme co-generation and project synergy. “This is not from scratch, it's from the water to the canal.” Huo's steady expression.
For enterprises, the model workshops aim to provide a complete path from scene diagnosis, co-generation, FDE implementation to value optimization, and to accompany enterprises in developing and using AI, ultimately creating their own AI landing capability; for ecological partners, the platform will bring good products, good technologies and good programmes into real business scenarios through joint programmes, client co-generation and delivery.
Let the good product find the scene and the real need find the answer.
Auto-fetched and translated by AI Atlas. All rights belong to the original author.