Seatrial Technology: The leading stock in AI surpassing illusions, unlocking the gates to the deep waters of industrial-level intelligent bodies.

When most AI companies are still stuck in the shallow scenes of "edge assistants" and "knowledge base question-answering," Haizhi Technology has already embedded intelligent agents (AI Agents) into the core business processes of thousands of industries with its original graph fusion technology, independently taking on tasks such as analysis, decision-making, and execution with high precision and seriousness. As a rare target challenging the "AI beyond illusion" first stock, Haizhi Technology accurately positions itself in the deep waters of industrial-grade intelligent agents, building dual barriers at the technological and commercial levels, and catching onto the industry's explosive growth trend, becoming a key leader in the transition of AI from technological frenzy to industrial implementation. Graph fusion breakthrough: Crossing from edge assistance to core business engines The core demand of industrial-grade scenarios for AI has always revolved around trustworthiness, controllability, and traceability. However, the inherent problem of hallucinations in general large models has become a fatal obstacle for entry into serious fields such as financial risk control, government decision-making, and grid and traffic scheduling. According to Frost & Sullivan data, Haizhi Technology is the first company in China to effectively reduce hallucinations in large models through knowledge graph, enabling the construction of core competitiveness and technological barriers in terms of accuracy, hallucination rate, and complex logical reasoning ability. By relying on the structured logic of "entity-relationship," Haizhi Technology can systematize and contextualize the fragmented industry knowledge, providing verifiable factual basis for each output of AI. While most vendors use external patch-like error correction, Haizhi Technology's graph fusion technology tackles the issue of AI hallucinations at the source-- The concept of Knowledge Graph was introduced by Google in 2012, hailed as the "digital brain" of AI. Its typical abilities include intuitive presentation, hidden relationship mining, deep logical reasoning, and event propagation analysis, combining knowledge graphs with large models to effectively eliminate hallucinations. Applied to professional fields, this technology can rely on the structured logic of "entity-relationship" to systematize and contextualize fragmented industry knowledge, providing verifiable factual basis for AI outputs. Haizhi Technology's core competitiveness lies not in the single domain of "knowledge graph," but in the "three-in-one" approach: First, outstanding graph computing capability. Haizhi Technology's graph computing capability is based on three key technological innovations: native graph-based methods for handling large-scale data storage; advanced graph computing technologies using graph reduction and restructuring; and unique subgraph cell batch processing technology. These technological innovations enhance the throughput of graph databases, improve processing performance, and reduce latency. In 2023, the company's independently developed Atlas Graph graph database broke the world record with a 45% advantage over the previous record, ranking first in comprehensive performance evaluation in the Connected Data Benchmark Committee test. According to Frost & Sullivan data, as a high-performance distributed graph database, the company's Atlas Graph graph database supports real-time analysis of tens of trillions of data points, far exceeding the industry average level. Second, graph fusion technology. The company integrates large language models and knowledge graphs into multiple stages (including pre-training, inference, and retrieval stages) to achieve in-depth semantic understanding, traceable and explainable answers, and full-process automatic reasoning. For example, by allowing the large language model to learn graph reasoning capabilities during the pre-training stage and absorbing structural knowledge from the graph database, it can enhance the model's understanding of implicit relationships, effectively reducing hallucinations. Third, application expertise. Over the past decade, the company has accumulated application expertise in enterprise data governance, analysis, and algorithm solutions covering multiple scenarios. This rich experience enables a deep understanding of scenario-specific data and the construction of a general knowledge framework for different application scenarios. If we were to use layman's terms to liken Haizhi Technology's core technology, it is like resolving the "left-right brain coordination" dilemma that has persisted in the industrial AI field for decades--the symbolist represented by knowledge graphs, like the "left brain" of AI, excels in rational reasoning, logical verification, and factual storage; the connectionist represented by large language models, akin to the "right brain" of AI, excels in semantic understanding, divergent thinking, and efficient interaction. These two technologies have alternately shone in the history of AI development: symbolists once defeated chess players with clear logical rules, while connectionists broke through with deep learning to defeat Go champions. However, when operating alone, both have shortcomings. Haizhi Technology integrates symbolist and connectionist approaches into the entire process of the Atlas intelligent agent's work. For example, during the pre-training stage, the large model learns the structured logic of the knowledge graph, establishing factual cognition in advance; during the inference stage, the large model is responsible for divergent thinking, understanding complex demands, while the knowledge graph simultaneously conducts logical verification, ensuring that each conclusion has factual support from "entity-relationship"... This deep integration, rather than simple stacking of technologies, is the key barrier that sets Haizhi apart from other industrial AI vendors, allowing it to dominate the race in the AI intelligent agent track centered on graphs. Scenario implementation: Penetrating beyond surface applications, rooted in core business domains The ultimate value of graph fusion technology lies in its implementation in industrial scenarios. Haizhi Technology's commercial foundation stems from its ability to solve core pain points for customers with its solutions, making customers willing to pay for high-value services. According to a previous report by the Financial Times, in the financial sector, the project of a personal credit application anti-fraud relationship graph built by the company for Bank of Shanghai increased the discovery of credit card community fraud risk events by 20% in the credit card scenario, reducing annual risk loss in the personal loan scenario by tens of millions of yuan; the enterprise-level knowledge graph system built for Guangdong Huaxing Bank successfully landing anti-money laundering suspicious transaction monitoring, winning the first prize for practical practices from the Guangzhou branch of the People's Bank of China with outstanding accuracy. These tasks directly involve the bank's risk control and compliance operations, touching upon the core of the business. Publicly available information shows that BANKCOMM, BANK OF CHINA, China Merchants Bank, CITIC BANK, BQD, and many other large and medium-sized financial institutions in China are clients of the company. According to available public data, in the governance and security fields, the Haizhi intelligent agent has achieved cross-department data integration, intelligent analysis with traceability, in scenarios such as anti-fraud, regulatory investigation, etc., accurately identifying illegal activities through complex network relationship mining, effectively replacing traditional manual inspection models and achieving a dual increase in efficiency and accuracy. Significant breakthroughs have also been made in the energy and industrial manufacturing fields, with the company participating in the intelligent upgrade of the power grid, using graph fusion technology to analyze equipment relationships and operational data, achieving fault prediction, dispatch optimization, and other core operations, ensuring stable equipment operations and significantly reducing operating costs. These implementation cases collectively prove that Haizhi intelligent agents are not just simple tools to assist humans, but are core engines capable of independently handling serious business tasks and driving industrial digital transformation. According to the IPO prospectus, the company is currently serving over 360 government and enterprise clients, covering strong paying domains such as government affairs, finance, and telecommunications, with unit prices at a relatively high industry level, forming a virtuous cycle of "technological barriers and customer willingness to pay." Race track positioning: Anchoring the deep waters and embracing the intelligent agent's growth dividend The industrial-grade intelligent agent market naturally has layers of "shallow waters" and "deep waters." Shallow waters focus on low-precision scenarios such as general Q&A and process assistance, with low entry barriers, fierce competition, and limited value; deep waters target core business decisions, high-precision execution, requiring high technological barriers, industry knowledge reserves, and compliance capabilities, making it unreachable for ordinary companies. Haizhi Technology's race track choice avoids the red ocean competition of generalized AI applications and precisely anchors the "deep waters" of industrial-grade intelligent agents, establishing an absolute monopoly advantage in the segmented track. According to Frost & Sullivan data, by 2024, the company's market share in China's AI intelligent agent market centered on graphs reaches a high of 50%, far exceeding the second place (15%) and third place (10%), this leadership position not only withstands industry competition but also prioritizes enjoying the growth dividend of the track. Frost & Sullivan data shows that the market size of industrial-grade AI solutions in China is expected to increase from approximately RMB 65.4 billion in 2025 to approximately RMB 286.1 billion in 2029, with a compound annual growth rate of 44.6%. Behind this astonishing growth rate are the accelerated digital transformation of enterprises, the maturation of AI technologies, and the continuous enhancement of industry compliance requirements. What's even more exciting is that the segmented track of "AI intelligent agents centered on graphs" where Haizhi Technology operates is expected to outpace the industry average growth rate--industrial-grade AI intelligent agents integrated with knowledge graphs are projected to increase significantly from RMB 200 million in 2024 to RMB 13.2 billion in 2029, with a compound annual growth rate of 140.0%. In terms of the company's performance, the business has entered a high-speed growth phase: total revenue reached RMB 503 million in 2024, with a compound annual growth rate of 26.8% from 2022 to 2024. In the first half of 2025, the year-on-year growth rate further increased to 38.4%, with a strengthening momentum. The performance of the core growth engine, the Atlas intelligent agent, is particularly impressive, becoming a key variable in revenue structure optimization. In 2023, this business only achieved revenue of RMB 9 million, but by 2024, it surged to RMB 87 million, and by the first half of 2025, its revenue share had increased to 28%. This explosive growth not only validates the commercial potential of graph fusion technology but also reflects the market's urgent demand for core business-level AI solutions. Based on the revenue in 2024, Haizhi Technology ranks fifth among Chinese industrial-grade AI intelligent agent providers in terms of revenue, but compared to companies with larger revenue scales, Haizhi Technology has a superior revenue structure quality. According to the prospectus, the gross profit margin of the two main products and services provided by Haizhi Technology, the Atlas graph solution, has remained stable at around 35%; the gross profit margin of the Atlas intelligent agent has increased to around 50% in 2024 and 2025. Looking at the continuous cooperation of core customers, Haizhi Technology's solutions can create tangible benefits for customers, with strong customer stickiness and repurchase willingness. This "high unit price + strong willingness to pay + pure AI properties" commercial characteristic signifies that Haizhi Technology has firmly established itself in the industrial-grade AI market, successfully transforming technological value into business value, laying a solid foundation for scalable expansion. Growth support: IPO empowerment, opening up long-term growth space Haizhi Technology has successfully completed its listing hearing on the Hong Kong Stock Exchange, entering a crucial stage in the pursuit of becoming the "first stock beyond illusion" in the AI field. It is understood that the proceeds from this IPO will be mainly used for strengthening graph fusion technology, optimizing the Atlas intelligent agent, expanding into new scenarios and overseas markets, strategic investments and acquisitions, providing the company with additional firepower for research and development and market investment, further solidifying its advantage in the segmented track. In the AI ecosystem dominated by giants, Haizhi Technology has charted a differentiated path of vertical cultivation. As an independent vendor, it has chosen not to directly compete with giants such as Alibaba and Baidu in the sphere of general AI, but to focus on the vertical technology track of graph fusion, building an irreplaceable core competitive strength. In conclusion, Haizhi Technology is a rare target in the industrialization phase of AI, with its core investment value concentrated in three aspects: unique technological barriers, significant track dividends, and solid commercialization. In the short term, focus can be placed on the stability of stock prices post-listing and the pace of performance improvement. In the medium to long term, the company is expected to grow into a leading enterprise in the field of industrial-grade AI beyond illusion, enjoying the double dividends of valuation and performance growth.