Ainos Tech Files for IPO: Empowering Eye Health and School Hygiene with AI Across 1,700 Institutions

How to Establish a Foothold in the Eye Health and Public Health Systems Industry? Beijing Ainuos Technology Co., Ltd. (hereinafter referred to as “Ainuos”) Has Provided the Answer.

After eight years of dedicated effort, Ainuos has expanded its business across all 31 provinces in China, establishing partnerships with over 113 Centers for Disease Control and Prevention, nearly 200 Maternal and Child Health Hospitals, 25,492 Education Bureaus/schools, 652 ophthalmic hospitals, 312 optometry centers/clinics, and 149 community health service centers, thereby emerging as a leading player in the industry.

On a morning in February, VCBeat contacted Tan Guokai, President and CEO of Ainuos, to gain an in-depth understanding of the company’s product portfolio, core competitive advantages, and future strategic plans.

At first glance, the introductory materials for Ainuos inevitably give the impression of being vast in scale.

BecauseFrom the perspective of its product portfolio, it offers not only digital solutions for monitoring and intervening in common student illnesses and health-influencing factors, but also digital solutions for surveillance and early warning of infectious diseases among students, solutions for physical examinations and myopia prevention and control for primary and secondary school students, a digital solution for eye care and vision screening services for children aged 0–6, and a smart ophthalmology cloud platform solution.

Our client base also encompasses schools, education bureaus, Centers for Disease Control and Prevention (CDCs), community health service institutions, households, as well as ophthalmic hospitals, ophthalmology clinics, and optometry centers.

This inevitably raises questions: Why does Ainuos’s digital solution span multiple “disease areas”? What are the reasons behind building such an extensive business system?

Regarding the first question, Tan Guokai emphasized in the interview that,Ainuos’s solutions primarily focus on the surveillance and intervention of common and infectious diseases in children and adolescents.

Common health conditions among children and adolescents include myopia, obesity, scoliosis, mental health disorders, and dental caries. These conditions prioritize prevention over treatment, necessitating the implementation of early detection, early intervention, and early treatment.

It is precisely for this reason thatAinuos’s digital solution is designed to build a comprehensive, end-to-end digital workflow spanning screening, early warning, and intervention.

Taking Beijing Ainuos Technology Co., Ltd.’s “Digital Solution for Monitoring and Intervening in Common Student Health Issues and Their Influencing Factors,” provided to the disease control and prevention system, as an example, it not only enables rapid collection of screening data on children and adolescents’ vision, refraction, height, weight, blood pressure, dental caries, and spinal conditions, but also performs automatic validation and error correction to achieve efficient data quality control. Competent authorities at all levels can access multi-dimensional, multi-level, and cross-departmental big data analytics reports, and further leverage large artificial intelligence models to monitor and warn against risk factors and generate personalized intervention plans.

Ainuos Digital Solution for Monitoring and Intervention of Common Student Diseases and Health Influencing Factors

Ainuos’s digital solutions for the education sector, disease control and prevention system, maternal and child health hospitals, and community health service institutions are all designed and developed in accordance with this logic.

In the process of promoting digital solutions for the education and disease control systems, Ainuos discovered that eye health prevention and control efforts must also cover two key groups: infants and young children aged 0–6 years, and adults.

Therefore, Ainuos has separately developed the “Digital Solution for Eye Care and Vision Screening Services for Children Aged 0–6” targeted at maternal and child health hospitals, and the “Regional Ophthalmic Chronic Disease Management Medical Consortium Solution (Applicable to Eye Health Screening and Management for Community Residents)” tailored for community health service institutions.

Moreover, with the establishment and refinement of eye health screening and prevention-control systems, Ainuos has engaged with numerous ophthalmic hospitals and optometry clinics, gaining insight into their developmental pain points. In response, Ainuos has leveraged its technological advantages and industry expertise to develop a Smart Ophthalmology Cloud Platform solution. This solution supports the implementation of SCRM, ERP, HIS, inventory management, and intelligent outpatient system platforms, helping these institutions address challenges in patient acquisition and daily operations. It establishes a digitalized, integrated business loop encompassing “screening, prevention, and treatment” for both medical public health and clinical care.

In the interview, Tan Guokai also highlighted another major feature of Ainuos’ digital solutions: the application of artificial intelligence technologies and large language models.

Previously, due to limitations in the automation and intelligence of screening equipment, data entry, and analysis, both the screening process and the data entry and analysis stages were time-consuming and incurred high labor and financial costs. Furthermore, they failed to provide timely population-level risk warnings or personalized intervention plans. Empowered by artificial intelligence and large language models, the screening and prevention-control system now operates with greater efficiency and lower investment, while also enabling timely population-level risk alerts and personalized intervention strategies for individuals.

Specifically,During the screening phase, Ainuos enables rapid data collection through self-developed or integrated third-party smart devices.For example, the “Digital Solution for Monitoring and Intervening in Common Student Diseases and Health Influencing Factors” leverages artificial intelligence technology and smart devices to enable non-contact measurement of indicators such as visual acuity, refraction, height, weight, oral health, spinal alignment, mental health, and blood pressure. This approach has increased screening efficiency by 80% and reduced labor costs by 66%.

During the data entry and analysis phases, strict adherence to quality control standards set by relevant authorities is required, given that this work is closely related to public health and public welfare. Historically, as these tasks were often performed manually, issues such as inconsistent data quality and non-standardized terminology frequently arose. This not only led to substandard data entry that could not be reported, necessitating rework, but also hindered the efficient generation of risk alerts, population-level prescriptions, and continuous personalized interventions.

andBeijing Ainuos Technology Co., Ltd. leverages artificial intelligence and large language model technologies to not only reduce the time required for data entry and statistical analysis but also support multi-dimensional data analysis. Key analytical modules include vision data analysis, common disease data analysis, school absence due to illness data analysis, accidental injury data analysis, infectious disease data analysis, behavioral influencing factor data analysis, teaching and living environment hygiene data analysis, and school health service performance data analysis. The system further conducts trend analysis and risk assessment, providing data support for scientific decision-making. Public health professionals can pose various operational queries to the system; the large language model then generates multi-dimensional AI-driven data analysis reports by integrating foundational data with expertise in public health, clinical practice, scientific research, and health economics. This capability significantly enhances the operational capacity of grassroots public health services.

Furthermore, in the realm of myopia prevention and control, leveraging artificial intelligence and large language model technologies, Ainuos not only collaborates with maternal and child health hospitals, schools, and other institutions to dynamically track vision and refractive indicators among preschool children and students, but also establishes “one-person-one-file” electronic health records. This approach ensures comprehensive coverage of eye health data from preschool age through adulthood and creates a closed-loop system for eye health management. Additionally, it interprets individual screening data to help parents understand their children’s eye health status and implements interventions based on personalized recommendations generated by the system. This enhances eye care awareness among families and students, improves intervention compliance, and facilitates early screening, early intervention, and early treatment for eye health.

“For companies in our vertically specialized sector, it is essential to build upon a solid business foundation. In addition to continuous technological innovation, we must also master multidisciplinary business knowledge spanning clinical practice, public health, and health economics. Only in this way can we better serve national interests and customer needs, thereby ensuring that technology truly serves the people. To this end, we have not only established industry-academia-research collaborations with numerous scientific research institutions and universities but also participated in the formulation of standards such as the Technical Specifications for the Construction of Monitoring and Early Warning Systems for Vision and Common Diseases in Children and Adolescents and the Functional Specifications for Information Systems for Vision Health Monitoring and Early Warning in Children and Adolescents,” stated Tan Guokai.

Meanwhile, as a digital technology service provider, Ainuos has consistently adhered to its core value of being “customer-centric,” delivering safe, reliable, and stable services. The company offers one-stop solutions—including system deployment, personnel training, and data operations and maintenance—with 24/7 support to ensure timely resolution of customer issues.

In the future, Ainuos Technology will continue to drive innovation and application based on artificial intelligence and large language models. By leveraging digital technologies, it will assist regulatory authorities and healthcare institutions in rapidly building an integrated service system for “screening, prevention, and treatment,” enhancing the standardization and visualization of core business processes. This will enable more timely operations, more efficient management, and more scientific decision-making, ensuring the early detection of health risks among children and adolescents.