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迅策科技2026年中期业绩发布会
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会议摘要
The company has demonstrated its deep technology accumulation and market expansion capabilities in the AI field, achieving substantial growth in revenue and net profit, covering 11 high-value industries, building a closed loop of AI data infrastructure, launching a token billing model, accelerating cross-industry layout and overseas business expansion, aiming to deepen more than 20 industries, continuously expanding the coverage of token factories, and emphasizing the high barriers and high stickiness of AI services in professional fields, through technological innovation and deep integration of customer scenarios, promote the application of AI technology in diversified industries to ensure long-term sustainable development.
会议速览
Comprehensive Upgrade of Performance and Strategic Layout of AI Infrastructure Enterprises in the First Half of the Year
In the first half of the year, the company's revenue reached 0.97 billion yuan, up 389 percent from the same period last year, with a net profit of 72.51 million yuan and a customer retention rate of over 90%. Successfully expanded to 11 high-value industries and built full-link AI data processing capabilities to achieve millisecond response and 100 percent accurate data processing. Launch the computing data token model application full-link products, strengthen strategic cooperation with head partners, start the 2.0 phase to charge for token calls, and break through the bottleneck of AI landing.
Accelerated integration of AI infrastructure construction and corporate demand, multi-industry penetration drives high growth
The demand for AI infrastructure construction accelerates, enterprises shift from calling common models to creating value by combining their own data, increasing the value of scenario tokens, and enhancing independent control and security compliance requirements. In the first half of the year, cross-industry replication capacity verification, multi-industry revenue ratio increased significantly, gross margin stability, showing high quality and sustainable high growth. Focus on deep-cultivated capital management industry, expand smart cars, low-altitude economy and other new areas, build industrial ecology, accelerate the scene token factory in multi-industry verification, to lay the foundation for large-scale deployment.
The company's token business commercialization breakthrough and international layout accelerated.
The company's token business revenue accounted for 11% in the first half of the year, becoming a new revenue engine. Through innovative billing models, the release of QOS operating systems, the completion of token cloud test delivery and commercial verification of managed business, the business is driven from project-based to sustainable revenue. At the same time, the pace of internationalization has accelerated, and overseas market revenue has increased by 264 year-on-year. The establishment of Japanese and Singapore subsidiaries, the improvement of overseas layout, and the verification of product maturity and compliance capabilities indicate that the internationalization strategy has entered a substantial stage of advancement.
The company's revenue surge and diversification strategy have achieved remarkable results, with stable gross margin and positive net profit.
In the first half of the year, the company's revenue surged by nearly 400 percent, entering a new business level, the diversification strategy has achieved remarkable results, the stable development of the asset management industry, and the accelerated contribution of token business and overseas business. Gross margin was stable at 60%, thanks to pricing power and platform model. Net profit turned sharply positive due to the expansion of the proportion of high-profit business, the release of scale effect and the improvement of fund management efficiency. Cost rate optimization, research and development costs increased investment, technical barriers continue to increase.
Financial Review: Platform iteration and customer value enhancement drive performance leaps.
The financial review shows that through platform-based modular product iteration, multi-industry penetration and high-value scenario landing, the company has achieved a significant increase in the number of customers and customer unit price, with a significant increase of 379 in human efficiency, abundant cash reserves, low asset-liability ratio, and a sound overall financial structure to support long-term business development.
Strategic Evolution and Future Development Direction of the Company from 3.0 to 4.0
The company plans to launch a token exchange platform in the 3.0 phase, aiming to break through cross-industry token circulation barriers and realize safe and compliant value exchange. The business model will be upgraded to platform-based ecological charges. The 4.0 phase focuses on providing enterprises with a small model that can be privately deployed, supporting a variety of charging models such as on-demand subscriptions and buyout deployments, and driving the transformation of AI into enterprise-specific productivity. Future strategies include deepening business models, accelerating cross-industry layout, developing cutting-edge applications, building strategic cooperation ecology and overseas business expansion, aiming to release profit margin expansion space, open up new industry growth space, seize the commanding heights of the AI industry, provide high-value services and promote the global layout.
Analysis of AI Demand and Enterprise Budget Allocation Trend
This paper discusses the current situation of accelerated landing of enterprise AI applications, and points out that AI demand is in the early stage of rapid development, and the budget is mostly derived from the needs of business improvement and strategic transformation, rather than the traditional IT budget. Customer portraits show that companies that view AI as a strategic transformation tool or a clear business scenario are more likely to invest heavily.
Cross-industry expansion and strategic planning: accelerate the layout of high-barrier industries.
Discussed the company's cross-industry expansion progress in high-barrier tracks such as smart cars and laser refinements in the first half of 2026, as well as the increase in the share of multi-industry revenue to 87.6 percent. The company plans to expand 2-3 high-value industries each year, the long-term goal is to deepen more than 20 industries, continue to expand the coverage of the map, accelerate the rescue factory model in the new scenario of verification and incremental market opening.
Deep Analysis of Special Token Value and Collaborative Innovation of Product Architecture
The dialogue focuses on the definition, measurement and value of dedicated tokens, emphasizing their core values in professional scenarios, such as energy forecasting and manufacturing collaboration, and pointing out the differences in the measurement and pricing of tokens in different scenarios. At the same time, the division of labor and cooperation between the Token OS system and the Token Cloud platform is discussed, aiming to solve the AI business hardware constraints, promote the scale of the Token model, and achieve high-precision, low-cost professional scene output.
Token Economic Model Drives Company Growth, Business Model Leap Helps Future Development
In the first half of the year, the token business model completed commercial verification beyond expectations, with a significant increase in call volume and a revenue share exceeding 1 billion, with a target of 20%-30% by the end of the year. The token economy has a low penetration rate, a broad market and a large space for future growth. By digging deep into the head customer value scenario, the breadth and depth of multi-module deployment is enhanced to form a benign closed loop. Enterprise private data and industry experience accumulation, build long-term competitive advantage, continue to provide growth momentum for the company.
Progress and Strategy of the Company's Overseas Business and Calculation Power Ecological Cooperation
The company's overseas business promotion stage, objectives and customer needs and service model of computing power ecological cooperation are discussed, emphasizing product verification, compliance adaptation and integrated delivery of computing power data.
Discussion on the relationship between core barriers and competition and cooperation of AI industry chain and the application of FDE model
This paper discusses that the core competitiveness in the AI industry chain lies in the technology accumulation and service model, emphasizes the synergy with the computing model manufacturers, and the role of FDE model in accelerating the adaptation of technology to customer scenarios, and highlights the landing point of business value.
AI enterprise financial stability and high-speed growth balance strategy.
Discusses the cash position, capital expenditure planning and full-year performance guidance for AI companies, and emphasizes a prudent investment strategy based on customer needs, as well as a path to accelerate growth through diversification and internationalization to ensure financial soundness while achieving strong growth.
要点回答
Q:What is the company's current market position in AI data infrastructure?
A:At present, the company is firmly at the head of the AI real-time data market, with revenue reaching 0.97 billion yuan in the first half of the year, a sharp increase of 389 per cent over the same period last year; net profit was 72.51 million yuan, with an adjusted net profit of 67 million. The full release of the company's profitability, customer retention rate of more than 90%, and overseas revenue growth is significant, the overall operating indicators are good, verifying the company's deep value in the AI infrastructure track and long-term development potential.
Q:How did the company build a full-link product matrix that the enterprise AI landed on?
A:The company has built a full-link product matrix from the computing power data token model to the application around the enterprise AI landing. AIDP at the bottom converts the internal and external raw data of the enterprise into high-quality data sets. The middle layer provides AI capability and professional model and scene token through token one. The upper token road connects the professional model scenario token with the enterprise requirements to realize model matching circulation and exchange. At the same time, the company is also expanding its cooperation with its head partners to form a complete closed loop from the bottom of the computing power to the upper AI application.
Q:What are the key points of the company's strategic positioning and development history?
A:In the 1.0 phase of training and testing, the company successfully replicated to nine high-barrier industries, established the AI data infrastructure capability of more than 300 product modules, and verified the generality and portability of the industry. Entering the 2.0 phase of this year, the company standardized month-to-month move as a drive, open a new growth curve, through the token call volume charge to solve the problem of insufficient supply of high-quality data in the AI landing.
Q:What are the changes in the needs of AI real-time data infrastructure?
A:The changes on the demand side are reflected in four aspects: first, the AI demand of enterprises is released at an accelerated pace, shifting from calling common models to creating value by combining their own data and business processes; Second, AI capabilities are further moving towards business scenarios, and enterprises need a complete full-link infrastructure. Third, the value of scenario tokens is increased, and high-quality scenario tokens more directly serve enterprise decision-making. Fourth, enterprises' requirements for independent control and security compliance continue to increase.
Q:What is the result of the company's diversified industry penetration?
A:In the first half of the year, the company's revenue structure underwent a qualitative change. The revenue share of diversified industries increased from 53% in the same period last year to 88%, and revenue increased by more than 700 year-on-year. This breakthrough is due to four core aspects: the basic market of the stable management industry, the continuous expansion of new industries, the construction of a sound industrial ecology, and the accelerated verification of the scene token factory in multiple industries.
Q:What about the commercialization of the business model?
A:The company's business model has been commercialized, with token business revenue accounting for 11% and revenue reaching 0.105 billion yuan. The AR growth of the new token business is strong, the call volume continues to increase, and the market's rigid demand and value recognition of the company's scenario token exceeds expectations. This core breakthrough mainly comes from four aspects.
Q:How exactly does the token billing model pioneered by the company work, and how does it drive the shift from one-time items to ongoing revenue? How does the company's general QOS operating system integrate data links and support business decisions?
A:The token billing model pioneered by the company directly drives business decisions through data token calls, and some businesses have successfully achieved a breakthrough shift from one-time projects to continuous revenue based on token calls. This model optimizes the allocation of resources and promotes the innovation and upgrading of business models through real-time and dynamic billing mechanisms. The QOS operating system integrates the data processing process into five core links, including the conversion from raw data to token, smart body calls, compliance metering, and full link audit. This operating system solves the problem of tuning the computing power governance model, especially in the context of computing power shortage, effectively reduces the deployment cost, builds the computing power infrastructure and full link facilities required for enterprise AI transformation, and continues to create real business value for customers.
Q:In terms of international business, what major breakthroughs have the company made in overseas markets?
A:In the first half of 2023, the company accelerated the landing of token OS and token business models in overseas markets. Revenue in overseas markets increased by 264 year-on-year, and completed the establishment of subsidiaries in Japan and Singapore, further improving the overseas layout. At the same time, the company has reached strategic cooperation with Shenzhen Data Exchange and Beijing International Big Data Exchange, strengthening the ecological foundation of data compliance circulation and token business.
Q:How did the company's core financial and operating indicators perform in the most recent period?
A:In the latest period, the company's revenue surged 389 year-on-year, reaching the highest level in history. Gross profit margin stabilized at 60%, thanks to pricing power and platform model. Net profit has turned positive significantly, with the core driving force coming from the steady expansion of the proportion of high-profit businesses, the optimization of income structure and the improvement of expense rate. The value of customers has increased significantly, with unit price of customers increasing by 240 year on year and the number of customers. Per capita contribution up 379, organizational efficiency has been fully released, the financial structure is sound, and the asset-liability ratio remains at a very low level.
Q:What are the common features of the customer portrait problem?
A:The two types of features we are currently seeing are more prominent. One is a macro-level customer who positions the AI as a key tool for future strategic transformation, and the other is a customer who has a clear understanding of the AI's landing in the business scenario. These two types of customers usually have a certain amount of business volume and professional accumulation, they through the AI capability support, the past professional accumulation into data assets, the formation of unique AI capabilities, and in the scale of deployment to reflect the business value. As a result, such customers will see AI as a core strategic investment for the company's future development, rather than a simple operating expense, and thus continue to invest intensively.
Q:For the budget, how is the AI budget allocated?
A:For some of the clients now working with, the AI budget comes mainly from the need for business enhancement and strategic transformation, which is fundamentally different from the traditional IT budget. Some companies include AI usage in their assessment indicators, and while there may be no cost, this reflects a perception of AI budgeting. At the same time, due to the current fierce competition in the market, many companies hope to maintain a leading position through AI technology, so the AI budget to a large extent reflects the company's management's expectations for future development and the determination of technology investment.
Q:What is the current stage of the company's overseas business, and is there a clear phase target? What kind of customer needs does the company mainly base on in laying out its computing business, and what are the types of customers, cooperation models and cooperation cycles that the company currently mainly serves?
A:At this stage, the company will give priority to promoting token OS and tokenized business models to complete product verification, compliance adaptation and benchmarking scenarios in key overseas markets. On this basis, we will gradually expand the coverage of customers and application scenarios, and increase the contribution of overseas business revenue. At this stage, more attention is paid to whether overseas business can form replicable products and scenario models, rather than simply pursuing short-term revenue scale. With the expansion of overseas high-value industrial scenarios, overseas business is expected to gradually form new growth space and long-term growth curve. The core starting point of the company's deployment of computing power business is to meet the needs of customers for computing power, data security, independent control and integrated delivery capabilities in the process of AI construction pilot to large-scale deployment. It is mainly aimed at medium and large enterprise customers, who have high requirements for computing power stability, data security and integrated service capabilities. The company provides computing power deployment, computing power leasing and software and hardware integration services, and flexibly formulates contract terms and commercial terms according to customer needs. On the data side, the company has carried out strategic cooperation with national data exchanges to explore data compliance circulation and desensitization applications. Accelerate the implementation of AI capabilities in high-value scenarios by working with industry partners.
Q:Could you please explain the cash situation to the management, what is the future planning in terms of capital expenditure? How to balance high growth with financial soundness? Finally, what is the performance guidance for the whole year?
A:The company's current cash abundance, on the one hand, stems from the rapid growth of business scale brought about by the increase in revenue and project services, on the other hand, according to customer demand to carry out computing power leasing and deployment business, the first half of the centralized procurement of computing power resources and hardware equipment investment is to lay the foundation for long-term growth. As infrastructure construction is gradually completed and sustained revenue is generated, the economy's cash flow will also accelerate. In addition, the technology refinancing completed in July further consolidated cash reserves, which will help improve cash flow in the second half of the year and support new industry development and overseas business development. In terms of capital expenditures, the company follows strict evaluation criteria, balancing market demand, gross margin migration cycle, ROI and other factors to ensure optimal capital allocation efficiency. For the full-year performance guidance, it is expected that strong growth will continue. The growth momentum will come from four aspects: accelerated demand, accelerated diversification, accelerated goods business and accelerated international business. The specific figures will be subject to the final announcement.
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