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智能客服前三+金融行业第四 中关村科金凭硬实力跻身应用大模型中标厂商TOP10

作者:龚作仁 文章来源:Laborer

2026-01-13 13:41

作者:龚作仁 文章来源:Laborer

2026-01-13 13:41

邦小白快读

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文章重点介绍了中关村科金在大模型领域的成就和实用干货。

1.中标排名:中关村科金跻身2025年应用类大模型中标厂商TOP10,在智能客服&数字人场景中排名前三,金融行业排名第四,彰显其商业化落地标杆地位。

2.核心策略:通过聚焦垂类场景如金融、汽车、政务的差异化策略突围,强调业务适配能力,需深厚行业Know-how和定制化解决方案。

3.产品应用:得助大模型平台和得助智能客户平台5.0提供全链路服务,实现全渠道全媒体接入、5G视频客服零门槛连接,提升服务便捷性和个性化体验。

4.实操案例:在汽车营销场景中,大模型外呼数字员工助力到店线索量提升超55%、目标转化率提升40%以上;销售端智能洞察、质检、陪练缩短销售周期;金融领域与中信证券合作提升展业效率3倍,与中国电建合作提升知识获取效率70%。

5.数据支撑:2025年应用类大模型中标项目4362个,智能客服&数字人中标项目480个,金额超3.7亿元,覆盖通信、金融等关键行业。

6.未来展望:大模型竞争进入价值交付深水区,中关村科金将持续提升交付能力,助力产业智能化升级。

文章揭示了中关村科金在品牌营销和产品研发方面的干货。

1.品牌营销:通过垂类场景深耕如金融、汽车、政务,建立差异化品牌定位,荣登《财富》中国科技50强等榜单,增强品牌影响力。

2.品牌渠道建设:聚焦高价值赛道,服务500多家头部金融机构,包括50%以上百强银行,强化渠道合作和行业渗透。

3.产品研发:得助大模型平台和智能客户平台5.0研发创新,覆盖营销服全场景,以人机协作为核心,提升产品功能如5G视频客服、大模型外呼数字员工。

4.消费趋势:大模型市场加速从技术探索向业务落地深化,智能客服需求增长,2025年相关中标项目达480个,金额超3.7亿元,反映用户对个性化服务的偏好。

5.用户行为观察:人机协作模式提升服务带宽,在汽车营销中显著提升线索量和转化率,显示用户对高效便捷体验的追求。

6.代表企业案例:与中信证券合作打造大模型财富助手,精准匹配理财产品,自动生成营销话术,展示产品在用户行为中的实际应用价值。

文章提供了政策解读和市场机会的干货内容。

1.政策解读:权威报告显示2025年大模型市场加速深化,中标项目4362个,政策导向从技术探索转向业务落地,强调实战能力。

2.增长市场:智能客服&数字人场景中标项目480个,金额超3.7亿元,金融行业作为高价值领域,需求旺盛,提供增长蓝海。

3.消费需求变化:用户趋向个性化服务,中关村科金平台实现全流程人机协作,拓宽服务带宽,满足便捷性需求。

4.机会提示:垂类场景如金融、汽车机会突出,中关村科金中标案例显示提升效率3倍、70%,可复制到其他行业。

5.风险提示:金融领域对数据安全可控性要求高,需强化合规,如为申万宏源打造合规大模型防范风险。

6.可学习点:差异化策略聚焦核心场景,产品组合拳如得助平台提供全链路服务,可借鉴提升业务效率。

7.最新商业模式:人机协作智能平台创新,营销端提升线索量和转化率,销售端形成智能闭环,缩短周期。

8.合作方式:企业定制解决方案,如与中信证券、中国电建合作,提供扶持性全栈服务。

文章启示了产品生产和数字化推进的干货。

1.产品生产和设计需求:智能平台需全渠道全媒体接入设计,如得客户平台5.0实现5G视频客服零门槛连接,强调易用性和个性化功能。

2.商业机会:垂类场景如金融、汽车、政务需求大,中标项目聚焦智能客服升级、远程视频银行等,提供生产订单机会。

3.推进数字化启示:大模型技术融入业务,如全链路服务提升效率,启示工厂推进电商式数字化,如视频客服统一接入管理。

4.案例参考:中关村科金合作案例中,提升效率3倍、70%,显示生产优化潜力;汽车营销场景线索量提升超55%,提供设计灵感。

5.数字化机会:依托得助平台,企业可构建智能体矩阵,实现提效降本,如缩短销售周期,启示工厂加速智能化转型。

文章分析了行业趋势和解决方案的干货。

1.行业发展趋势:2025年大模型市场加速落地,中标项目4362个,从技术探索向业务落地深化,垂类场景如金融、汽车成热点。

2.新技术:5G视频客服、大模型外呼数字员工、人机协作平台等创新技术,实现实时连接和全流程自动化。

3.客户痛点:业务适配能力是核心考验,需深厚行业Know-how;数据安全可控性要求高,尤其在金融领域。

4.解决方案:中关村科金提供定制化全链路服务,如得助平台覆盖营销服全场景,解决提效降本需求;案例中提升效率3倍、70%,验证方案有效性。

5.代表案例:为某国有银行提供全栈音视频服务,统一管理视频场景;打造合规大模型,筑牢业务防线,展示针对性解痛方案。

文章讨论了平台需求和运营管理的干货。

1.商业对平台需求:业务适配能力是关键,平台需解决行业定制化需求,如金融领域要求实战落地能力和数据安全。

2.平台最新做法:得助大模型平台和智能客户平台实现全渠道接入、人机协作,以5G视频客服提升服务带宽,支持营销销售闭环。

3.平台招商:聚焦高价值赛道如金融、汽车,展示中标案例增强招商吸引力,如服务头部金融机构。

4.运营管理:平台优化人效,如营销端提升线索量和转化率,销售端缩短周期;统一接入管理视频场景简化运营。

5.风向规避:强调合规重要性,如通过国家网信办双备案,打造专有大模型防范风险,确保平台稳定运行。

文章探讨了产业动向和商业模式的干货。

1.产业新动向:大模型市场2025年进入价值交付阶段,中标项目4362个,市场深化,垂类厂商崛起打破大厂垄断。

2.新问题:高合规领域如金融对融合深度要求高,实战落地能力成竞争核心;数据安全可控性凸显新兴挑战。

3.政策法规建议和启示:国家网信办双备案通过,提供合规范例;政策推动业务落地,启示加强行业标准建设。

4.商业模式:垂类深耕差异化策略,构建技术平台筑基+行业场景深耕模式,覆盖营销-风控-运营全链路,契合提效降本增长诉求。

5.案例研究:与金融机构合作案例如提升效率3倍、70%,提供可复制模式;智能体矩阵启示产业升级路径。

声明:快读内容全程由AI生成,请注意甄别信息。如您发现问题,请发送邮件至 run@ebrun.com 。

我是 品牌商 卖家 工厂 服务商 平台商 研究者 帮我再读一遍。

Quick Summary

Zhongguancun Kejin has achieved notable success in the large language model (LLM) sector, demonstrating strong commercial implementation.

1. **Bid Ranking:** The company ranked among the TOP 10 LLM solution providers in 2025 for application-level models. It placed in the top three for intelligent customer service & digital human scenarios and fourth in the financial industry, underscoring its leading position in commercialization.

2. **Core Strategy:** Zhongguancun Kejin adopts a differentiated strategy by focusing on vertical sectors like finance, automotive, and government services, emphasizing business adaptability, which requires deep industry expertise and customized solutions.

3. **Product Applications:** Its DeZhu LLM Platform and DeZhu Intelligent Customer Platform 5.0 offer end-to-end services, enabling omnichannel and multimedia access, zero-barrier 5G video customer service connections, and improved service convenience and personalization.

4. **Case Studies:** In automotive marketing, the company's LLM-powered digital outbound agents increased store visit leads by over 55% and target conversion rates by more than 40%. In sales, intelligent insights, quality checks, and training tools shortened sales cycles. Partnerships with CITIC Securities tripled operational efficiency, while collaboration with PowerChina boosted knowledge retrieval efficiency by 70%.

5. **Data Support:** In 2025, there were 4,362 awarded projects for application-level LLMs, with 480 projects specifically for intelligent customer service & digital humans, totaling over RMB 370 million, covering key industries like telecommunications and finance.

6. **Future Outlook:** As LLM competition intensifies in the value delivery phase, Zhongguancun Kejin plans to enhance its delivery capabilities to support industrial intelligent upgrades.

The article highlights Zhongguancun Kejin's strategies in brand marketing and product development.

1. **Brand Marketing:** By deeply cultivating vertical scenarios such as finance, automotive, and government affairs, the company has established a differentiated brand positioning, earning spots on lists like Fortune China's Top 50 Tech Companies, thereby enhancing brand influence.

2. **Channel Development:** Focusing on high-value sectors, it serves over 500 leading financial institutions, including more than 50% of China's top 100 banks, strengthening channel partnerships and industry penetration.

3. **Product R&D:** Innovations in the DeZhu LLM Platform and Intelligent Customer Platform 5.0 cover full marketing and service scenarios, emphasizing human-machine collaboration and enhancing features like 5G video customer service and LLM-driven digital outbound agents.

4. **Consumer Trends:** The LLM market is shifting from technological exploration to business implementation, with growing demand for intelligent customer service. In 2025, 480 related projects were awarded, valued at over RMB 370 million, reflecting user preference for personalized services.

5. **User Behavior:** Human-machine collaboration expands service bandwidth, significantly increasing lead volume and conversion rates in automotive marketing, indicating user pursuit of efficient and convenient experiences.

6. **Case Study:** Collaboration with CITIC Securities to develop an LLM-powered wealth assistant demonstrates practical application value by accurately matching financial products and auto-generating marketing scripts.

The article provides insights into policy interpretation and market opportunities.

1. **Policy Interpretation:** Authoritative reports indicate the LLM market accelerated in 2025 with 4,362 awarded projects, signaling a policy shift from technological exploration to practical implementation, emphasizing operational capability.

2. **Growth Markets:** The intelligent customer service & digital human segment saw 480 awarded projects worth over RMB 370 million, with the high-value financial industry presenting a blue ocean for growth.

3. **Demand Shifts:** Users increasingly prefer personalized services. Zhongguancun Kejin's platforms enable full-process human-machine collaboration, broadening service bandwidth to meet convenience needs.

4. **Opportunities:** Vertical scenarios like finance and automotive show prominent potential. The company's case studies demonstrating 3x efficiency gains and 70% improvements are replicable in other industries.

5. **Risks:** The financial sector demands high data security and controllability, requiring strengthened compliance, as seen in the risk-prevention LLM developed for Shenwan Hongyuan.

6. **Key Takeaways:** A differentiated strategy focusing on core scenarios and integrated product suites like the DeZhu Platform offering end-to-end services can be leveraged to enhance business efficiency.

7. **Business Models:** Innovations in human-machine collaboration platforms boost lead generation and conversion rates in marketing, while creating intelligent sales cycles that shorten periods.

8. **Partnership Models:** Enterprises can opt for customized solutions, such as collaborations with CITIC Securities and PowerChina, which provide supportive full-stack services.

The article offers insights for product manufacturing and digital advancement.

1. **Production & Design Needs:** Intelligent platforms require omnichannel and multimedia integration designs. For example, the DeZhu Customer Platform 5.0 enables zero-barrier 5G video customer service connections, emphasizing usability and personalized functionality.

2. **Business Opportunities:** High demand in vertical sectors like finance, automotive, and government services, with awarded projects focusing on intelligent customer service upgrades and remote video banking, presents manufacturing order opportunities.

3. **Digitalization Insights:** Integrating LLM technology into business processes, such as through end-to-end services that improve efficiency, inspires factories to advance e-commerce-style digitalization, like unified video customer service management.

4. **Case References:** Zhongguancun Kejin's collaborations resulting in 3x efficiency gains and 70% improvements demonstrate production optimization potential; a 55%+ increase in automotive marketing leads offers design inspiration.

5. **Digital Opportunities:** Leveraging platforms like DeZhu, enterprises can build intelligent agent matrices to enhance efficiency and reduce costs, such as shortening sales cycles, guiding factories toward accelerated intelligent transformation.

The article analyzes industry trends and solution offerings.

1. **Industry Trends:** The LLM market accelerated in 2025 with 4,362 awarded projects, transitioning from technological exploration to business implementation, with vertical scenarios like finance and automotive becoming hotspots.

2. **New Technologies:** Innovations such as 5G video customer service, LLM-powered digital outbound agents, and human-machine collaboration platforms enable real-time connectivity and full-process automation.

3. **Client Pain Points:** Core challenges include business adaptability, which requires deep industry expertise, and high demands for data security and controllability, especially in finance.

4. **Solutions:** Zhongguancun Kejin provides customized end-to-end services, such as the DeZhu Platform covering full marketing and service scenarios, addressing efficiency and cost-reduction needs; case studies showing 3x efficiency gains and 70% improvements validate solution effectiveness.

5. **Case Examples:** Delivering full-stack audio-video services for a state-owned bank to uniformly manage video scenarios, and developing compliant LLMs to strengthen business defenses, demonstrate targeted pain-point solutions.

The article discusses platform requirements and operational management.

1. **Business Demands:** Platform adaptability is crucial, requiring solutions for industry-specific customization needs, such as practical implementation capabilities and data security in finance.

2. **Platform Practices:** The DeZhu LLM Platform and Intelligent Customer Platform enable omnichannel access and human-machine collaboration, using 5G video customer service to expand bandwidth and support marketing-sales closed loops.

3. **Platform Attraction:** Focusing on high-value sectors like finance and automotive, and showcasing awarded projects and service to leading financial institutions, enhances appeal for merchant acquisition.

4. **Operations Management:** Platforms optimize human efficiency by increasing lead generation and conversion rates in marketing and shortening cycles in sales; unified video scenario management simplifies operations.

5. **Risk Mitigation:** Emphasizing compliance, such as passing dual filings with the Cyberspace Administration of China and developing proprietary LLMs to prevent risks, ensures stable platform operation.

The article examines industry movements and business models.

1. **Industry Trends:** The LLM market entered a value-delivery phase in 2025 with 4,362 awarded projects, indicating market maturation and the rise of vertical players challenging large tech firms' dominance.

2. **Emerging Challenges:** High-compliance sectors like finance demand deep integration, making practical implementation a core competitive factor; data security and controllability present new challenges.

3. **Policy Insights:** Passing dual filings with the Cyberspace Administration of China provides compliance benchmarks; policy shifts toward business implementation suggest strengthening industry standards.

4. **Business Models:** A differentiation strategy through vertical focus, combined with a 'technology platform foundation + industry scenario cultivation' model, covers full marketing-risk management-operations chains, aligning with efficiency and cost-reduction goals.

5. **Case Studies:** Collaborations with financial institutions yielding 3x efficiency gains and 70% improvements offer replicable models; intelligent agent matrices indicate pathways for industrial upgrade.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

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近日,权威机构智能超参数发布《中国大模型中标项目监测与洞察报告 (2025)》,数据显示2025年国内应用类大模型中标项目达4362个,市场正加速从“技术探索”向“业务落地”深化。其中,中关村科金凭借在垂类场景的深耕优势,成功跻身“2025年应用类大模型项目中标厂商TOP10” ,同时在核心赛道“智能客服&数字人”场景中位列厂商前三,在金融行业大模型项目中标厂商中排名第四,彰显其在大模型商业化落地领域的标杆地位。

1、应用类大模型中标TOP 10,垂类厂商打破大厂垄断

根据报告数据,2025年应用类大模型项目中标厂商TOP10榜单中,中关村科金以23个中标项目入围,是榜单中少数聚焦垂类场景的大模型厂商。在头部科技大厂占据主要席位的市场中,中关村科金凭借“聚焦核心场景、深耕垂直行业”的差异化策略脱颖而出,成为企业级大模型与智能体落地的重要选择。

报告指出,应用类大模型落地的核心考验在于“业务适配能力”,需厂商具备深厚的行业Know-how与定制化解决方案能力。中关村科金深耕金融、汽车、政务等领域多年,其中标项目多集中于“大模型平台建设”、“智能客服升级”等实战场景,通过“得助大模型平台+得助智能客户平台”的产品组合拳,为企业提供从技术部署到业务提效的全链路服务,这也是其能在众多厂商中突围的关键。

2、智能客服&数字人中标TOP 3,核心场景落地领跑

在2025年大模型落地TOP2场景“智能客服&数字人”领域,中关村科金与科大讯飞、百度共同跻身厂商前三,成为该赛道的核心参与者。据统计,2025年国内智能客服&数字人应用类中标项目达480个,披露金额超3.7亿元,覆盖通信、金融、政务等关键行业,而中关村科金的服务重点聚焦于金融、汽车两大高价值赛道 。

其核心支撑源于自研的得助智能客户平台5.0,这一覆盖营销服全场景的新一代人机协作智能平台,以 “人类员工 + 数字员工” 协同为核心,在客服场景表现尤为突出。平台可实现全渠道全媒体接入与全流程人机协作,大幅拓宽企业服务带宽,搭配5G视频客服能力,能以零门槛实时连接,为多领域客户提供服务及业务办理支持,兼顾服务便捷性与个性化体验。平台更延伸覆盖营销、销售全链路,营销端通过线索分析、大模型外呼数字员工,在汽车营销场景中助力到店线索量提升超55%、目标转化率提升40% 以上;销售端以智能洞察、质检、陪练三位一体形成闭环,赋能团队高效复制金牌销售能力,缩短销售周期,同步提升人效与服务质量。

3、金融行业中标TOP 4,行业深耕优势凸显

同样依据智能超参数报告,百度、科大讯飞、火山引擎、中关村科金在金融行业大模型项目中标厂商中位列前四。金融行业作为大模型落地的高价值、高合规领域,对技术与业务的融合深度、数据安全可控性要求极高,其竞标竞争核心更偏向 “实战落地能力”,这也成为中关村科金凭借垂类优势突围的关键场景。

中关村科金深耕金融领域多年,已服务500多家头部金融机构,包括50%以上百强银行及70%的信托机构,沉淀了深厚的行业Know-how,其中标项目广泛覆盖智能客服升级、远程视频银行、智能风控合规、财富助手、智能运营提效等核心业务场景,落地了一系列可复制的标杆案例:与中信证券合作打造大模型财富助手,能够实时洞察市场动态与数据,精准匹配理财产品与投资组合,并自动生成专业营销话术,助力展业效率提升3倍;与中国电建财务公司联合打造 “财神大模型” 及办公智能体,实现员工业务知识获取效率提升70%;为某国有大型商业银行提供全栈音视频服务,实现视频银行、合规双录、视频客服、视频会议等全场景统一接入管理;为申万宏源证券打造合规垂直领域专有大模型,赋能员工高效查询制度文件,筑牢业务合规防线。

依托得助大模型平台 + 金融行业智能体平台的核心产品组合,中关村科金打造了覆盖 “营销 - 风控 - 运营 - 企业服务” 全链路的金融智能体矩阵,精准契合金融机构数智化转型过程中 “提效、降本、合规、增长” 的核心诉求。这种 “技术平台筑基 + 行业场景深耕” 的核心竞争力,正是其能够斩获金融行业大模型项目中标第四排名的坚实底气。

4、综合实力领跑行业,价值赋能产业升级

作为全球领先的企业级大模型技术与应用服务商,中关村科金锚定金融、政务、工业、汽车等高价值赛道,将AI大模型技术深度融入行业场景,构建起独特的核心竞争力,商业化成果备受市场与机构认可。公司不仅荣登《财富》中国科技50强、胡润中国人工智能企业50强,连续入选全球独角兽榜,其得助大模型更率先通过国家网信办 “双备案”,被IDC评估为2025中国大模型开发平台领导者,在IDC中国智能客服市场份额报告中位列第四,在垂类厂商排名第一。此次跻身年度应用类大模型中标TOP10,正是对其 “深耕行业、创造价值” 的最佳佐证。

未来,随着大模型竞争进入 “价值交付” 深水区,中关村科金将以得助大模型平台为基座,持续提升价值交付能力,让技术优势转化为实实在在的业务增长,助力千行百业加速拥抱新智能化,实现 “人工智能 +” 的产业升级。

注:文/龚作仁,文章来源:Laborer,本文为作者独立观点,不代表亿邦动力立场。

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FAQ回顾

中关村科金在2025年大模型市场取得了哪些排名?

中关村科金跻身2025年应用类大模型项目中标厂商TOP10,在智能客服与数字人场景中位列厂商前三,在金融行业大模型项目中标厂商中排名第四。

中关村科金的核心大模型产品有哪些?

核心产品包括得助大模型平台和得助智能客户平台5.0,提供从技术部署到业务提效的全链路服务,覆盖营销、销售、客服等场景。

中关村科金在金融行业有哪些落地案例?

服务500多家金融机构,包括与中信证券合作的大模型财富助手(展业效率提升3倍)、中国电建财务公司的财神大模型(知识获取效率提升70%)等。

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2026-01-13 11:50:27