Ginlix AI
50% OFF

Analysis of R&D Input-Output for iSoftStone's Embodied Intelligent Robot Business

#embodied_intelligence #robotics #r_and_d_investment #humanoid_robot #strategic_positioning #ai_robotics #tech_industry
Neutral
A-Share
January 6, 2026

Unlock More Features

Login to access AI-powered analysis, deep research reports and more advanced features

Analysis of R&D Input-Output for iSoftStone's Embodied Intelligent Robot Business

About us: Ginlix AI is the AI Investment Copilot powered by real data, bridging advanced AI with professional financial databases to provide verifiable, truth-based answers. Please use the chat box below to ask any financial question.

Related Stocks

301236.SZ
--
301236.SZ
--
Analysis of R&D Input-Output for iSoftStone’s Embodied Intelligent Robot Business
1. Business Positioning and Strategic Layout

iSoftStone (Stock Code: 301236.SZ) has positioned embodied intelligent robots as its core strategic product, which is a strategic move to respond to the dramatic changes in the industrial model of software and digital technology services and the new opportunities brought by artificial intelligence technology [1][2]. In 2024, focusing on the four development directions of “intelligence, autonomy, greenization, and internationalization”, the company clearly identified embodied intelligent robots as an important strategic direction, fully integrating its advantages in artificial intelligence to promote the large-scale application of humanoid robots in real scenarios such as industry and households [1].

Core Logic of Strategic Positioning:

  • Industrial Opportunity Seizure
    : According to the “Humanoid Robot Industry Research Report”, the market size of humanoid robots in China is expected to reach 75 billion yuan in 2029, accounting for 32.7% of the global market; by 2035, the market size is expected to reach 350 billion yuan [1]
  • Capability Synergy
    : Integrating the company’s long-term accumulated capabilities in software technology services, robot OS, hardware R&D, multimodal large models, industry models, etc.
  • Business Model Innovation
    : While selling embodied intelligent robot products, it provides new technical services such as industrial process replacement and professional service labor replacement for customers through the mode of operating self-owned embodied intelligent robots [2]

2. R&D Input Analysis
2.1 R&D Institution Construction

iSoftStone has built a multi-level R&D system in the field of embodied intelligent robots:

R&D Institution Positioning Partner
Robot Research Institute Continuous research on core software and hardware of humanoid robots Self-built
AI PC Research Institute Integration of intelligent terminals and AI technology Self-built
iSoftStone Tianhui Special Robot Laboratory Operation control, environmental perception, task recognition in special environments Beijing BIT Huahui Intelligent Technology
Embodied Intelligent Mechanical Arm Laboratory Joint development of composite robot mechanical arms Reeman Intelligent Technology (Beijing)
Construction Survey Composite Robot R&D Survey application in the construction field Team of Chongqing Jiaotong University
2.2 Key Investment Areas

According to the annual report, iSoftStone’s R&D investment focuses on six key areas [1][2]:

  1. AI Large Model
    : Iterative upgrade of the Tianxuan Large Model Service Platform
  2. Embodied Intelligent Robot
    : R&D of the Xingyun Embodied Intelligent Computing Platform
  3. OpenHarmony
    : Launch of Tianhe OS V24, the first to achieve interconnection with HarmonyOS NEXT
  4. OpenEuler
    : Basic software ecosystem construction
  5. OpenGauss
    : Breakthrough in the database field
  6. Intelligent Computing Platform
    : Launch of DenovoX Tianyuan Intelligent Computing Service Platform
2.3 Joint Venture and Cooperation Investment

Capital Level
:

  • On December 31, 2024, iSoftStone jointly established
    Jiangsu iSoftStone Tianqing Robot Technology Co., Ltd.
    with DeepRobotics and others, with iSoftStone holding a direct stake of 65% [1]

Strategic Cooperation
:

  • In July 2024, it signed a strategic cooperation agreement with DeepRobotics, targeting diversified application scenarios such as interactive services, flexible intelligent manufacturing, special operations, scientific research education, and data collection [1]
  • In September 2024, it jointly established the iSoftStone Tianhui Special Humanoid Robot Laboratory with Beijing BIT Huahui Intelligent Technology Co., Ltd., and released the first special humanoid robot concept machine [1]

3. R&D Output Achievements
3.1 Product Matrix (6 Products)
Product Name Type Application Scenario Core Function
iSoftStone Tianqing AD01 Wheeled Robot Industrial Flexible Manufacturing High-risk labor replacement, data collection service
iSoftStone Tianqing LC01 Bipedal Humanoid Robot Exhibition Hall/Museum/Scientific Research Education Public service, commercial service, university talent training
iSoftStone Tianqing LA01 Full-size Bipedal Humanoid Robot Large Public Exhibition Hall Professional explanation and intelligent Q&A
iSoftStone Tianhui Inspection Composite Robot Composite Robot Industrial and Agricultural Equipment Inspection All-day detection, emergency disposal
Survey Composite Robot Composite Robot Underwater and Pipeline Complex Scenarios High-precision geographic information collection, disease identification
Setting-out Composite Robot Composite Robot Construction Manufacturing Field High-precision automated setting-out operation
3.2 Core Technology Platforms
Platform/System Function Positioning Technical Features
Xingyun Embodied Intelligent Computing Platform Embodied intelligence underlying platform Deep integration of Tianhe OS and Xingyun Robot Intelligent OS
Tianhe Operating System Robot OS Independently developed, supports multi-scenario generalization
Tianxuan Large Model Service Platform AI capability support Supports multimodal perception, autonomous learning, planning and decision-making
Xingyun Embodied Application Development Platform Development toolchain Model fine-tuning customization, low-code development, shortening development cycle
Tianhui Phyxis Embodied Intelligent System V1.0 Embodied intelligent system Integrates key technologies such as visual large model, voice interaction control, task understanding and orchestration
Big-Small Brain Algorithm Motion control Model inference algorithm and reinforcement learning robot skill library
3.3 Intellectual Property Achievements

Patent Layout
:

  • Applied for
    53 invention patents
    to form technical barriers [2]

Standard Participation
:

  • Participated as a core initiating member in the “Fujian Artificial Intelligence Independent Innovation Consortium”
  • Participated in compiling the group standard “MaaS Model as a Service Technology and Application Requirements Part 4: Model Service Platform” [2]

4. Input-Output Ratio Evaluation
4.1 Input Characteristic Analysis
Dimension Characteristic Evaluation
Time Dimension
Strategic layout launched in 2024 In the early input stage; R&D investment has not yet been fully reflected in performance
Scale Dimension
Multi-institution simultaneous construction Wide coverage of investment, but specific amount not disclosed separately
Technology Dimension
Focus on core technologies of embodied intelligence Formed a complete technology stack from large models to operating systems to hardware
Ecosystem Dimension
Joint venture cooperation + strategic investment Leveraged industrial chain resources with low capital investment
4.2 Output Characteristic Analysis
Dimension Characteristic Evaluation
Productization Speed
Developed 6 products within 1 year High R&D efficiency, quickly established product matrix
Patent Density
53 invention patents About 9 patents per product on average, forming basic protection
Ecosystem Synergy
Deeply bound with DeepRobotics Built a moat through dual bonds of capital and business
Commercialization Progress
Launched the first product in January 2025 Just entered the initial stage of commercialization
4.3 Input-Output Ratio Evaluation

Advantages
:

  1. Strategic Focus
    : Positioned embodied intelligent robots as core strategy, concentrating resource investment
  2. Ecosystem Layout
    : Reduced independent R&D risks and accelerated technology iteration through joint ventures and cooperation
  3. Complete Product Matrix
    : 6 products cover multiple scenarios such as industry, education, inspection, and survey
  4. Complete Technology Stack
    : Formed a closed loop from underlying OS to embodied intelligent large models to specific products

Challenges
:

  1. Non-transparent Investment Amount
    : No separate disclosure of R&D investment in embodied intelligent robot business, making it difficult to accurately calculate input-output ratio
  2. Initial Commercialization
    : Products just released, no large-scale revenue yet
  3. Intense Competition
    : Deeply bound with DeepRobotics, but also means technical and market dependence
  4. Insufficient Market Validation
    : Industrial scenario applications are still in the pilot stage

5. Conclusion and Outlook
5.1 Overall Evaluation

iSoftStone’s embodied intelligent robot business is in the

strategic layout stage
, with R&D investment showing characteristics of “multi-dimensional, high efficiency, and ecologicalization”. Although the specific R&D investment amount is not disclosed separately, from the output achievements, the company has completed the full layout from technical platform construction to product matrix building in a short time, reflecting strong R&D execution and resource integration capabilities.

Input-Output Ratio Judgment
:

  • Short-term (1-2 years)
    : Low input-output ratio, still in the large-scale investment stage
  • Mid-term (3-5 years)
    : With product commercialization and deepened ecosystem synergy, the input-output ratio is expected to improve significantly
  • Long-term (over 5 years)
    : The embodied intelligent robot market has broad space; if the technical route is correct, it is expected to achieve high input-output ratio
5.2 Risk Tips
  1. Technology Development Less Than Expected
    : Emerging technologies such as AI large models and humanoid robots are still in the development process, with uncertainties [1]
  2. Downstream Customer Expenditure Less Than Expected
    : Downstream customers’ expenditure in AI and other fields will affect the company’s robot business development [1]
  3. Increased Competition Risk
    : More players in the embodied intelligent robot track, increasing competitive pressure
  4. Commercialization Landing Difficulties
    : Industrial scenario applications face challenges such as technical maturity and cost control
5.3 Suggestions

For investors concerned about iSoftStone’s embodied intelligent robot business, it is recommended to focus on the following indicators:

  • Independent revenue data of the embodied intelligent robot business in subsequent annual reports
  • Operating status of the joint venture Jiangsu iSoftStone Tianqing Robot Technology Co., Ltd.
  • Patent authorization progress and product commercialization order status
  • Deepening of cooperation with ecological partners such as DeepRobotics

References

[1] BOC Securities - “Overweight iSoftStone” Research Report (https://pdf.dfcfw.com/pdf/H3_AP202503141644367681_1.pdf)

[2] iSoftStone 2024 Annual Report Summary (https://file.finance.qq.com/finance/hs/pdf/2025/04/26/1223318952.PDF)

[3] iSoftStone Official Website - 2024 Annual Report Interpretation (https://www.isoftstone.com/zh-cn/htmls/news/20250425/1915759289919991808.html)

[4] Eastmoney.com - iSoftStone Individual Stock Data (https://data.eastmoney.com/stockdata/301236.html)

Related Reading Recommendations
No recommended articles
Ask based on this news for deep analysis...
Alpha Deep Research
Auto Accept Plan

Insights are generated using AI models and historical data for informational purposes only. They do not constitute investment advice or recommendations. Past performance is not indicative of future results.