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Comprehensive Evaluation of the Investment Value of Haizhi Technology's Hong Kong IPO

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January 6, 2026

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Comprehensive Evaluation of the Investment Value of Haizhi Technology's Hong Kong IPO

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Comprehensive Evaluation of the Investment Value of Haizhi Technology’s Hong Kong IPO
I. Company Basics and Market Position
1.1 Company Overview

Beijing Haizhi Technology Group Co., Ltd.
(abbreviated as “Haizhi Technology”) was founded on August 23, 2013, with its headquarters in Beijing Economic and Technological Development Zone. It is a leading enterprise in China’s
graph-model fusion AI technology field
[1].

IPO Progress:

  • June 17, 2025: Formally submitted a main board listing application to the Hong Kong Stock Exchange, with CMB International, BOC International, and Shenwan Hongyuan Hong Kong serving as joint sponsors
  • December 23, 2025: Updated the prospectus, adding business data as of June 30, 2025
  • January 5, 2026: Obtained the “full circulation” filing from the China Securities Regulatory Commission (CSRC) for overseas issuance and listing and domestic unlisted shares, planning to issue no more than
    47,584,600
    overseas listed ordinary shares [1][2]
1.2 Core Products and Technical Architecture

Haizhi Technology’s core competitiveness lies in using

knowledge graphs to “anchor” large models
to develop AI systems that are both intelligent and reliable:

Four Core Product Platforms:

  1. DMC Data Intelligence Platform
    : Processes data from different sources and types to achieve integrated data governance and analysis
  2. Atlas Knowledge Graph Platform
    : Deeply mines and explores graph data
  3. AtlasGraph Graph Database
    : Provides a foundation for knowledge graph storage and complex graph computing
  4. Atlas Agent
    : AI agent developed based on graph-model fusion technology (launched in September 2023)

Technical Strategy:

  • Does not develop proprietary large language models; mainly develops and adapts based on
    open-source large language models
    (such as DeepSeek and Tongyi Qianwen), commercial large language models, and industry-specific large language models
  • Adopts a pragmatic business model of “free first, then charge”: Accumulates users through open-source in the early stage, then sells advanced tools, customized solutions, and technical support in the later stage
II. Financial Performance and Growth Trend
2.1 Strong Revenue Growth
Financial Indicator 2022 2023 2024 H1 2025
Revenue (RMB 100 million)
3.13 3.76 5.03 1.73
Growth Rate
- +20.1% +33.8% -
CAGR (2022-2024)
26.8%
- - -

Business Structure Changes:

  • Revenue share of Atlas knowledge graph solutions: Decreased from 100% in 2022 to 72% in H1 2025
  • Revenue of Atlas Agent: Grew from RMB 0 in 2023 to
    RMB 86.6 million
    in 2024, a year-on-year increase of
    872.2%
    , accounting for 28% of revenue [4]
2.2 Profitability Improvement Trend
Profitability Indicator 2022 2023 2024 H1 2025
Net Loss (RMB 100 million)
1.76 2.66 0.937 1.28
Gross Profit Margin
30.9% 35.2% 36.3%
38.5%

Key Observations:

  • Cumulative loss of RMB 664 million over three and a half years, but
    loss magnitude shows a narrowing trend
  • Gross profit margin continues to improve, from 30.9% in 2022 to 38.5% in H1 2025, mainly due to:
    • Progress in AI technologies such as LLMs
    • Strategic optimization of cost structure
    • Improvement in operational and fulfillment efficiency
2.3 R&D Investment
  • As of the end of June 2025, the company has
    640 employees
    in mainland China
  • 489 members
    in R&D and technical teams, accounting for
    76.4%
    of total employees
  • Large early-stage investment, mainly used to upgrade existing products or technologies and accelerate commercialization
III. Market Position and Competitive Advantages
3.1 Market Share and Leadership

According to Frost & Sullivan data:

  • Based on 2024 revenue, Haizhi Technology holds over
    50% market share
    in
    China’s graph-core AI agent market
    , continuing to lead the industry
  • Occupies a
    top position
    among cross-industry AI agent providers [4]
3.2 Customer Base and Application Scenarios

Customer Scale:

  • As of the end of 2024, has cooperated with
    more than 300 customers
  • Customer groups include many
    leading financial institutions
    and
    large state-owned enterprises

Application Scenarios:

  • Industrial AI solutions are widely applied in over
    100 practical scenarios
    such as
    anti-fraud, intelligent marketing, risk identification, and intelligent manufacturing
  • Services cover multiple industries including
    finance, energy, and healthcare
3.3 Core Competitive Advantages
  1. Technology Moat
    : Graph-model fusion technology that combines knowledge graphs with large language models
  2. First-mover Advantage
    : Holds over 50% market share in the graph-core AI agent market
  3. High-quality Customer Base
    : Leading financial institutions and state-owned enterprise customers with strong stickiness
  4. Star Team
    : Academician Zheng Weimin of the Chinese Academy of Engineering serves as chief scientist
  5. Top Capital Endorsement
    : Has received investments from multiple top investment institutions such as Legend Capital, Hillhouse Capital, IDG, and CNCIC
IV. Industry Prospects and Market Space
4.1 High Growth of Industrial AI Market
Market 2025 Size 2029 Forecast CAGR
China’s Industrial AI Solutions
65.4 billion yuan 286.1 billion yuan
44.6%
Industrial AI Agents (Segment)
- -
71.3%

Key Insights:

  • Industrial AI agents are a
    high-growth segment
    , with an expected CAGR of
    71.3%
    from 2024 to 2029
  • Haizhi Technology is in this high-growth track and has established a market leadership position
4.2 Activity of Hong Kong Stock AI Sector

2025 Hong Kong Stock AI Company IPO Boom:

  • Zhipu AI
    : Launched招股 on December 30, plans to list on January 8, 2026, with an expected market value exceeding
    HK$51.1 billion
    , the “world’s first large model stock”
  • MiniMax
    : Launched招股 on December 31, with a valuation of
    HK$46.1-50.4 billion
  • Pony.ai and WeRide
    : Listed on the same day (November 6), the new stocks with the highest fundraising amount in the Hong Kong AI field in 2025
  • Biren Technology
    : Domestic GPU enterprise, raised
    HK$5.583 billion
    in IPO [3]

Complete Hong Kong Stock AI Ecosystem
: Multiple AI enterprises such as SenseTime, 4Paradigm, and Minerva Intelligence have formed a cluster effect [5]

V. Valuation Logic and Comparable Analysis
5.1 Limitations of Traditional Valuation Methods

For AI companies,

traditional financial anchors have failed
:

  • Price-to-Earnings Ratio (PE)
    : Most AI companies are not yet profitable, so it cannot be used
  • Price-to-Sales Ratio (PS)
    : US AI leader OpenAI has a valuation of US$830 billion based on expected 2025 revenue of US$13 billion, with a PS ratio as high as
    63x
  • Domestic AI Companies Are Generally Undervalued
    : Compared with US peers, domestic AI companies are often at an undervalued node [5]
5.2 Valuation Reference for Hong Kong Stock AI Software Companies

Based on web search data and market information:

SenseTime Group Inc. (00020.HK):

  • Goldman Sachs maintains a “Buy” rating with a target price of
    HK$3.53
  • Forecasts
    turning profitable in 2026
    with EBITDA reaching
    RMB 205 million
  • Generative AI revenue contribution rate will reach
    91% in 2030
  • Valuation method: Adopts
    two-stage DCF model
    and
    2026 expected EV/Sales ratio
  • Has an
    upside potential of 73%
    compared to the current stock price [6]

4Paradigm (06682.HK):

  • Market value has been surpassed by companies like Meitu and Unisound
  • As an AI software company, mainly uses
    PS multiple
    for valuation
  • The market’s PS valuation range for AI software companies is approximately
    5-10x
    (inferred from search results) [5]

Palantir (US Stock Benchmark):

  • Price-to-Sales ratio as high as
    102.69x
  • Price-to-Earnings Ratio (TTM)
    365.25x
  • Market value
    US$400.084 billion
  • Shows that the US market gives extremely high valuation premiums to AI data intelligence companies [5]
5.3 Valuation Advantages of Hong Kong Stock Market

Compared with other global markets,

Hong Kong’s new economy enterprises have obvious valuation advantages
:

  • Even after stock price increases, the valuations of Hong Kong AI leaders such as Alibaba and Baidu (about
    20x PE
    ) are still far lower than US peers like NVIDIA, whose PE ratios are often
    50-60x
  • This huge “
    valuation discount
    ” is the key source of attractiveness for Hong Kong’s new economy assets [5]
VI. Investment Value Evaluation: Multi-Dimensional Analysis
6.1 Growth Rating: ★★★★☆ (4/5 Stars)

Advantages:

  • Strong revenue growth with a
    26.8% CAGR
    (2022-2024)
  • Atlas Agent revenue grew
    872.2% year-on-year
    in 2024, showing explosive growth
  • The track it is in (industrial AI agents) has a CAGR of
    71.3%
    over the next 5 years

Risks:

  • Business is significantly affected by seasonality, with revenue usually higher in the second half of the year
  • Revenue in H1 2025 was RMB 173 million; need to pay attention to full-year completion
6.2 Profitability Rating: ★★★☆☆ (3/5 Stars)

Advantages:

  • Gross profit margin continues to improve, from 30.9% to 38.5%
  • Loss magnitude narrowed: Net loss in 2024 was RMB 93.7 million, a decrease of 64.8% compared to 2023

Risks:

  • Has not yet achieved profitability; cumulative loss of RMB 664 million over three and a half years
  • Large early-stage investment for product upgrades and accelerating commercialization
  • Accounts receivable period has extended
    , facing certain pressure [2]
6.3 Technology Barrier Rating: ★★★★☆ (4/5 Stars)

Advantages:

  • Graph-model fusion technology has uniqueness
  • Holds over
    50% market share
    in the graph-core AI agent market
  • Academician Zheng Weimin of the Chinese Academy of Engineering serves as chief scientist
  • Has a complete independent technology stack (data platform + knowledge graph + graph database + agent)

Risks:

  • Does not develop proprietary large language models, relying on open-source and commercial LLMs, which may face technology dependence risks
  • LLM technology iterates rapidly; needs to continuously maintain technological leadership
6.4 Market Space Rating: ★★★★★ (5/5 Stars)

Advantages:

  • China’s industrial AI solutions market has a CAGR of
    44.6%
    from 2025 to 2029
  • AI agent segment has a CAGR of
    71.3%
  • Strong digitalization demand in industries such as finance, energy, and healthcare
  • Has served more than 300 customers, including leading financial institutions and state-owned enterprises

Risks:

  • Intensified competition: Tech giants and AI unicorns are entering the market one after another
  • Customer concentration risk (e.g., high proportion of leading financial institutions)
6.5 Team and Capital Rating: ★★★★☆ (4/5 Stars)

Advantages:

  • Founder Ren Xuyang is a serial entrepreneur and serves as chairman
  • CEO Yang Zaifei is a successful serial entrepreneur
  • Received investments from top institutions such as Legend Capital, Hillhouse Capital, IDG, and CNCIC
  • The board of directors includes senior professionals like Li Jiaqing (President of Legend Capital) and Long Yu (Founder of Bertelsmann Capital)

Risks:

  • Whether the management team can handle public company governance and large-scale operations after listing
  • Equity dilution risk: Founder team’s shareholding ratio after multiple rounds of financing
VII. Investment Risk Tips
7.1 Core Risks
  1. Sustained Loss Risk
    : Cumulative loss of RMB 664 million over three and a half years, not yet profitable

  2. Accounts Receivable Risk
    : Extended accounts receivable period may affect cash flow and asset quality [2]

  3. Technology Dependence Risk
    : Does not develop proprietary large language models, relying on third-party LLMs, which may face technology supply risks

  4. Intensified Market Competition
    : AI track is hot, with large companies and unicorns entering the market, leading to increasingly fierce competition

  5. Hong Kong Stock Liquidity Risk
    : Hong Kong market has relatively low liquidity, which may affect stock liquidity

  6. Valuation Bubble Risk
    : The AI industry has high overall valuations, with potential correction risks

7.2 Impact of Full Circulation

Impact of “full circulation” of domestic unlisted shares:

  • Positive
    : Increases the supply of tradable shares, improves stock liquidity; original shareholders can cash out, increasing listing motivation
  • Negative
    : May bring short-term selling pressure; dilutes the shareholding ratio of public shareholders
VIII. Valuation Recommendations and Investment Strategies
8.1 Reasonable Valuation Range Estimation

Based on comparable company valuation methods:

Conservative Valuation (PS 5x):

  • Assume full-year 2025 revenue is RMB 600 million (based on H1 173 million, considering higher proportion in the second half due to seasonality)
  • Valuation = 600 million ×5 =
    RMB 3 billion
    (approximately
    HK$3.2 billion
    )

Neutral Valuation (PS 8x):

  • Valuation =600 million ×8=
    RMB4.8 billion
    (approximately
    HK$5.1 billion
    )

Optimistic Valuation (PS12x, benchmarking SenseTime):

  • Valuation=600 million ×12=
    RMB7.2 billion
    (approximately
    HK$7.7 billion
    )

Note:
The above valuations are only rough estimates based on limited information; actual valuations are subject to the official disclosure in the prospectus

8.2 Investment Recommendations

Suitable Investor Types:

  • Long-term Value Investors
    : Believe in the long-term trend of the AI industry and can bear short-term fluctuations
  • Growth Investors
    : Focus on leading companies in high-growth tracks
  • Hong Kong Stock Tech Enthusiasts
    : Familiar with the Hong Kong market and optimistic about the AI sector

Not Recommended for:

  • Short-term speculators
  • Investors with low risk tolerance
  • Investors with little understanding of the AI industry
8.3 Investment Timing Recommendations

Subscription Strategy:

  • If the issuance valuation corresponds to a PS multiple in the
    5-8x
    range, consider active subscription
  • If the issuance valuation corresponds to a PS multiple exceeding
    10x
    , need to evaluate carefully
  • Pay attention to the
    cornerstone investor
    lineup and subscription ratio

Holding Strategy:

  • Long-term Holding
    : Optimistic about the long-term trend of the AI industry, can hold for 3-5 years
  • Band Operation
    : Pay attention to AI industry catalytic events and performance inflection points
  • Stop-Loss Discipline
    : Set a reasonable stop-loss level (e.g., -20% to -30%)
8.4 Key Observation Indicators

After listing, focus on:

  1. Sustainability of Revenue Growth
    : Whether it can maintain a CAGR of over 30%
  2. Progress of Profitability Improvement
    : When to achieve break-even
  3. Changes in Gross Profit Margin
    : Whether it can be maintained or improved
  4. Customer Expansion
    : Number and quality of new customers
  5. Accounts Receivable Turnover
    : Recovery of accounts receivable
  6. Cash Flow Status
    : Whether operating cash flow improves
  7. Industry Policies
    : Changes in AI industry regulatory policies
IX. Summary: Long-Term Value Coexists with Short-Term Challenges
9.1 Core Investment Logic

Long-Term Bullish Reasons (3-5 Years):

  1. Track Advantage
    : Industrial AI agent market has a CAGR of71.3%, in the early stage of explosion
  2. Market Position
    : Holds over50% market share in the graph-core AI agent market, with a solid leading position
  3. Technical Differentiation
    : Graph-model fusion technology has uniqueness, building a moat
  4. Customer Quality
    : Leading financial institutions and state-owned enterprise customers with strong stickiness and high customer unit price
  5. Hong Kong Stock AI Ecosystem
    : Hong Kong AI sector has obvious cluster effect, with room for valuation improvement
  6. Valuation Depression
    : Compared with US AI companies, Hong Kong AI enterprises are generally undervalued

Short-Term Cautious Reasons (Within 1 Year):

  1. Not Yet Profitable
    : Sustained losses affect investor confidence
  2. Accounts Receivable Risk
    : Extended period and cash flow pressure
  3. Intensified Competition
    : AI track competition is white-hot
  4. Hong Kong Stock Liquidity
    : Relatively low liquidity
  5. Valuation Bubble
    : The AI sector has high overall valuations, with potential correction risks
9.2 Final Rating: ★★★★☆ (4/5 Stars)

Investment Value Evaluation:

  • Long-Term Investment Value
    : ★★★★☆ (4/5 Stars) - Industry leader, high-growth track, technical barriers
  • Short-Term Investment Value
    : ★★★☆☆ (3/5 Stars) - Loss pressure, competition intensification, market volatility
  • Risk-Adjusted Return
    : ★★★★☆ (4/5 Stars) - High risk and high return, suitable for investors with higher risk appetite

Core Conclusion:

Haizhi Technology, as a leading enterprise in China’s graph-model fusion AI field, holds a leading position in the high-growth industrial AI agent market and has long-term investment value. However, the company is not yet profitable and faces risks such as accounts receivable and intensified competition. It is recommended that
long-term investors with strong risk tolerance
consider participating in the reasonable valuation range and prepare for long-term holding.


References

[0] Jinling API Data
[1] Sina Finance - “Haizhi Technology’s Hong Kong IPO Obtains CSRC Filing” (https://finance.sina.com.cn/roll/2026-01-05/doc-inhfhicm7976476.shtml)
[2] AASTOCKS - “Haizhi Technology Impacts IPO, Focuses on Industrial AI Application Field, Faces Accounts Receivable Pressure” (https://www.aastocks.com/tc/stocks/news/aafn-con/GLH5140532N/ipo-news/GLH)
[3] Sina Finance - “Haizhi Technology Updates Prospectus: China’s Graph-Model Fusion AI Leader Sprints to Capital Market” (https://finance.sina.com.cn/roll/2025-12-23/doc-inhcucqt5552135.shtml)
[4] DoNews Column - “2025 for AI Startups: Half Sea Water, Half Flame” (https://www.donews.com/article/detail/5153/94983.html)
[5] Xinhuanet - “2025 Hong Kong Stock Observation: First Public Offering Scale Increases, Trading Becomes More Active” (http://www.news.cn/finance/20260104/e008cb8aeca543e786d753ad200a8217/c.html)
[6] Sina Finance - “2025 Technology and Capital Report | Artificial Intelligence Takes the Exam” (https://finance.sina.com.cn/jjx

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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.