“When most healthcare funds were still struggling with the precipitous drop in valuations of innovative drugs and healthcare consumption, the emerging sector of healthcare equity emerged like a beacon in the dark, offering hope to keen-eyed investors.”
Recently, AI healthcare big data company Aideng Technology announced the completion of its RMB 200 million Series B+ financing round. The round was led by Haier Capital, with participation from Xingtuo Capital, while existing investors Sinovation Ventures and Zhongding Capital continued to increase their stakes, solidifying Aideng’s position as a leader in the healthcare equity sector. The proceeds will be used to intensify market expansion efforts and continue driving talent acquisition and brand building.
A few months ago, the company secured a RMB 200 million Series B financing round led by Zhongding Capital, with participation from Legend Star and Sinovation Ventures. In a short span of time, Aideng Technology has completed another round of financing, earning strong recognition from both new and existing shareholders. This sufficiently demonstrates the capital market’s favor toward the DRG/DIP healthcare equity sector.
Since its establishment in 2016, Aideng Technology has focused on deep mining of big data and artificial intelligence applications in the healthcare industry, starting with “disease classification” and “medical record quality control.” It has built a comprehensive DRG/DIP solution covering management across all hospital departments. As a leading SaaS enterprise serving hospitals, Aideng Technology leverages the rapid delivery enabled by its standardized products to provide big data services to nearly 4,000 secondary and tertiary medical institutions, thereby achieving industry-leading coverage.
Aideng Technology stated that with the introduction of a new round of financing, the company will focus on three strategic pillars—product, technology, and brand—to seize opportunities arising from healthcare reform, actively explore the deep integration of medical care with artificial intelligence, big data, and other technologies, and drive the sustained, high-quality development of the healthcare industry.
Driven by healthcare reform policies, AI-powered medical record quality control has become an essential business system for hospitals. Aideng’s “Disease Taxonomy Knowledge Graph,” refined over six years, is currently the AI quality control tool with the highest market share. Building on this foundation, Aideng has launched the DRG & DIP Collaborative Management Platform, powered by the data-driven SaaS system “Xingcan Engine.” This platform not only meets the requirements of health insurance payment and multi-departmental collaboration but also enables efficient and secure one-click integration of in-hospital data flows, ensuring consistency in information feedback. Based on core medical datasets, the engine also provides hospitals with multi-dimensional indicator analysis, truly facilitating refined management.
As a rapidly growing AI enterprise, Aideng has invested substantial financial and human resources in research and development. From electronic medical records (EMR) to hospital information systems (HIS), its team has engaged with 90% of the healthcare IT systems available on the market, integrating intra-hospital ecosystems across various operational stages to enhance the overall efficiency of the healthcare system. Aideng’s self-developed interfaces have significantly improved deployment efficiency, enabling product delivery for a single hospital from scratch in as little as 48 hours. Meanwhile, 50% of major feature updates can be deployed to all hospital clients’ systems within 12 hours. Leveraging real-time feedback from hospitals, Aideng continuously practices a positive AI feedback loop, facilitating faster and more efficient iterations.
To continuously deepen its service offerings, Aideng launched the Regional Benchmark Hospital Service Support Initiative this year. Within the year, it will establish regional support centers for “Ai-Yibao” and “Ai-Zhikong” at nine benchmark hospitals across China, providing technical, consulting, and training support to enhance these hospitals’ regional influence and achieve a brand amplification effect from key points to broader areas. Meanwhile, Aideng will also introduce intellectual resources from renowned academic institutions to help hospitals broaden their management perspectives, safeguard the high-quality development of public hospitals, and thereby drive an overall improvement in regional medical service levels. Additionally, addressing the professional development needs of frontline healthcare workers, Aideng has launched a knowledge service platform—Aideng Academy—which organizes internal instructors and external industry experts to provide learners with rich, systematic DRG/DIP training covering all hospital departments.
Zhu Wei, Founder of Aideng TechnologyIn this regard, Aideng Technology has always adhered to the corporate vision of “the right to health for all,” aiming to ensure that the general public has access to affordable and equitable healthcare. Consequently, Aideng Technology entered the DRG field as early as 2016, making it one of the first companies in China to focus on this area.
Through years of sustained dedication, Aideng Technology has established industry-leading core competencies in the DRG field. Boasting an extensive client base, the company leverages its Tesla-like, best-in-class rapid iteration capabilities to transform individual clients’ experiences and lessons learned into valuable references for others. This approach drives concurrent improvements in medical efficiency, quality of care, and patient satisfaction, thereby enhancing the existing healthcare system.
Zhu Wei further stated that Aideng Technology will continue to deepen its expertise in DRG, helping to address short-term inpatient costs, which account for 70% of total medical expenditures. Additionally, the company will collaborate with industry partners to focus on other areas within China’s healthcare system where equity and efficiency still require improvement—such as outpatient services, chronic disease rehabilitation, emergency diagnosis and treatment, and medical consortia—while exploring initiatives like pediatric DRG. Aideng Technology remains committed to conducting more in-depth exploration of healthcare reform and striving to provide healthcare institutions with more valuable professional IT services.
Chen Lan, Vice President of Investment at Haier Capital
While many countries have already achieved comprehensive IT coverage for DRG-based payment systems, China is only at the beginning of this journey. It is believed that with the gradual implementation of relevant policies, the IT coverage rate in this field will increase significantly. The IT solutions provided by Aideng to its customers, leveraging AI and big data technologies, have greatly enhanced their refined management capabilities and collaborative work efficiency, earning recognition from numerous clients. The company’s rapid development over the past few years has demonstrated that the management team led by Mr. Zhu Wei is an outstanding multidisciplinary team within the industry, reflecting its continuous innovation and product iteration capabilities. It is believed that under the leadership of Mr. Zhu Wei and his team, Aideng will overcome challenges, continuously expand the depth and breadth of its business, and improve efficiency, empower growth, and create value for the industry.
Liu Zehui, Founding Partner of Xingtuo Capital
Xingtuo Capital has long maintained a bullish outlook on the transformation and efficiency enhancements driven by technology across various industries, and has invested in multiple leading enterprises in digital technology. We have long recognized that China’s healthcare sector is poised for profound transformation, which will reshape the valuation logic across all subsectors, with Diagnosis-Related Groups (DRGs) serving as the foundation of this change. We are optimistic about Aideng’s team, given their extensive industry experience and unique technological advantages. We look forward to Aideng’s leading accumulation of AI and big data capabilities making even greater contributions to healthcare equity in China.
Yang Xiaolong, Partner at Sinovation Ventures
Since 2018, Sinovation Ventures has closely monitored the major trend of value-based healthcare reform in China and has firmly supported the Aideng team in their deep cultivation of this field. As relevant policies have been progressively implemented, we have had the privilege of witnessing Aideng’s rapid growth as an industry leader. By leveraging technologies such as AI and big data, Aideng uses its SaaS software to link the professional quality of medical services with their commercial value, thereby addressing the challenge of “how to price medical procedures.” This approach assists patients, healthcare institutions, payers, and regulators in enhancing medical transparency, improving healthcare efficiency, and promoting healthcare equity. We hope that Aideng will uphold its mission of “tech for social good,” making new contributions and driving development in the industry with every step it takes.
Zhongding Capital
Aideng Technology boasts a multidisciplinary team with strong strategic capabilities and mature technological products, making it a rare enterprise with comprehensive strengths in the industry. As one of Zhongding Capital’s key investments in the medical technology sector, Aideng Technology is providing more efficient solutions for China’s healthcare payment reform, and we believe the team will continue to drive high-quality development in the healthcare industry.
Legend Star Partner Wang Yi
While it took other countries three decades to achieve comprehensive informatization for DRGs, the landscape in China at the time of their introduction was markedly different. To develop a product that truly meets the needs of healthcare institutions, it is essential to drive transformation through both informatization and intelligent technologies simultaneously. Although the strategic path is correct, significant practical challenges remain. Mr. Zhu Wei and the Aideng team possess the comprehensive capabilities and experience necessary to bridge this gap, and we are optimistic about the team’s future prospects.