SenAI Intelligence Secures $36M Series C Funding Led by Tencent and Sinopharm Capital to Accelerate Commercialization of Smart Healthcare Solutions
SYNYI AI
Provider of Comprehensive Solutions for Medical Big Data
On July 3, VCBeat (WeChat ID: vcbeat) learned that SYNYI·AI, a leading domestic medical artificial intelligence enterprise, announced the completion of its C-round financing of RMB 250 million. This round was led by Tencent, with Sinopharm Capital participating as a co-investor.SYNYI·AI will accelerate its exploration of comprehensive smart healthcare solutions, attract more top-tier AI and medical talent, maintain technological and product leadership, and continue to empower the development of smart healthcare in China.。
It is reported that the company, established just three years ago, now has over 300 full-time employees, nearly half of whom have medical backgrounds, and has secured cumulative financing exceeding RMB 550 million. Amid a challenging economic landscape, the substantial investments by Tencent and Sinopharm Capital not only demonstrate strong recognition of Senyi Intelligence’s current progress but also solidify its definitive advantage as a leader in the medical AI sector.
Data source: VCBeat Database
The construction of smart hospitals has become an inevitable trend in hospital development. With the rapid advancement of information technology, an increasing number of hospitals in China are accelerating the deep integration of artificial intelligence (AI) with hospital information systems to enhance service quality and core competitiveness.SYNYI·AI has seized these opportunities by leveraging its industry-leading artificial intelligence technology to deeply integrate AI with hospital information systems, thereby empowering the development of smart hospitals.。
Since its establishment in April 2016, SYNYI·AI has built its foundation on industry-leading Chinese medical natural language processing technology. By addressing hospitals’ demands for research data, the company deeply integrated AI with Healthcare Information Technology (HIT) and launched its first intelligent research platform product.
Centered on unlocking the value of clinical medical data, this platform significantly enhances the quality and efficiency of scientific research. Within one year of its market launch, it was deployed in over 30 hospitals across China, including Shanghai Children’s Medical Center, Shanghai Xinhua Hospital, and Chongqing Xinqiao Hospital. Leveraging its robust capabilities and strong reputation, the platform rapidly secured the number one market share in Shanghai’s hospital sector and has received widespread acclaim from users.
2018,To Address the Issues of Hospital Information Silos and Low Data Usability, SYNYI·AI has successfully developed a new generation of AI-based hospital information platform. The platform not only encompasses all the functionalities of traditional hospital information platforms but also features more in-depth data governance capabilities. While meeting the practical operational needs of hospitals, it ensures compliance with interoperability assessments and lays a solid foundation for the future development of smart hospitals.
The Ultimate Goal of Building Smart Hospitals Is to Truly Empower Clinical Practice with HITSince its inception, the company has focused on clinical needs, recognizing the urgent demand for Clinical Decision Support (CDS) systems. However, most CDS systems currently used in hospitals are broad and comprehensive but lack in-depth, specialty- and disease-specific decision support, resulting in limited practical clinical benefits for physicians.
Therefore, SYNYI·AI has collaborated with experts from Shanghai Tenth People’s Hospital, Shanghai Chest Hospital, Zhongshan Hospital of Fudan University, and other institutions to jointly develop condition-specific Clinical Decision Support (CDS) systems. Notably, the Intelligent Prediction and Assisted Diagnosis and Treatment System for Venous Thromboembolism (VTE), co-developed with Shanghai Tenth People’s Hospital, was selected in June 2019 as one of the “Top 30 Best Cases of AI Application Implementation” by the National Health Commission of China.
By leveraging medical natural language processing and machine learning techniques, this system integrates data from hospital electronic medical records, diagnostic imaging, and laboratory information systems to monitor and predict the risk of venous thromboembolism (VTE) for each patient in real time. It assists healthcare professionals in implementing “efficient,” “dynamic,” and “standardized” VTE management, thereby reducing VTE incidence, enhancing clinical safety, and minimizing unnecessary healthcare costs.
Top 30 Best Cases of AI Application Implementation in Healthcare in 2019
Compared with its peers, SYNYI·AI places greater emphasis on product quality and efficient, professional services. By deeply integrating AI with Healthcare IT (HIT), it has developed a comprehensive product portfolio spanning data integration, data governance, and data application, delivering valuable solutions to the industry and its clients. This commitment has earned the company respect from its customers, enabling it to secure orders from nearly 100 Grade A tertiary hospitals across China within just three years.
In the first half of 2019, SYNYI·AI experienced rapid business growth, expanding partnerships with dozens of hospitals and achieving a 340% year-on-year increase in performance. Meanwhile, SYNYI·AI also engaged in deep collaborations with Huawei and China Electronics Data to provide customers with more secure and professional solutions.
March,SYNYI·AI and Huawei Jointly Release Smart Hospital Big Data Center Solution, enabling functional enhancements within the Hadoop architecture. While fully ensuring security, it provides hospitals with massive data storage, query, and analysis capabilities, helping medical institutions rapidly build large-scale data information processing systems and develop intelligent applications tailored to clinical care, scientific research, and management scenarios. This empowers hospitals to comprehensively improve the quality of medical services, clinical research capabilities, and operational efficiency.
2019 Huawei China Ecosystem Partner Conference
In April, at the 2019 China Hospital Information Network Congress (CHINC),SYNYI·AI and CEC Data Jointly Release Next-Generation Hospital Information Platform Solution, Leveraging ESB to Build a Hospital Integration Platform for Interconnectivity Among Diverse Systems; By leveraging the HIT+AI multi-dimensional data governance platform, we aggregate diverse medical data to construct a multi-themed data lake, thereby meeting business needs such as clinical diagnosis and treatment, lean hospital management, and clinical research analysis. Furthermore, we establish a proactive information security protection system to empower the development of smart hospitals in the era of big data.
SYNYI·AI Next-Generation Hospital Information Platform Launch Event
June,SYNYI·AI and Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine (National Children’s Medical Center) Have Reached a Strategic Partnership.
Both parties will focus on common pediatric diseases and certain critical clinical conditions. Based on clinical guidelines and national clinical pathways, and leveraging high-quality clinical data from the Children’s Medical Center, they will conduct machine learning and predictive modeling to provide clinical decision support covering the entire care continuum—including disease prevention, screening, patient assessment and stratification, treatment, and outcome evaluation. This initiative aims to enhance the efficiency of pediatric healthcare professionals, standardize clinical diagnosis and treatment processes, and truly establish a smart healthcare system that benefits pediatric patients.
Signing Ceremony for the Strategic Collaboration between SYNYI·AI and Shanghai Children's Medical Center
Prior to this funding round, SYNYI·AI had already garnered favor from multiple renowned investment institutions and recognition from the national big data team, including ZhenFund, Sequoia Capital, GGV Capital, Xianghe Capital, and the CEC Health Industry Fund.
Regarding this investment in SYNYI·AI,Li Chaohui, Managing Partner of Investment at Tencent, statedWith the widespread adoption of big data and AI technologies, hospital digitalization is entering a new phase. Future hospital digital systems will be patient-centric, achieve seamless interoperability, and unlock value in scientific research, clinical diagnosis and treatment, and hospital management. SYNYI·AI has a clear strategic vision, strong data governance capabilities, and extensive industry experience and insight. We look forward to its intelligent analytics platform delivering greater value across the entire industry chain.
Zou Min, Managing Director of Sinopharm CapitalWe are optimistic about the application prospects of artificial intelligence in the healthcare sector; however, this industry remains in its early stages of development, with commercialization just getting underway. Since engaging with SYNYI·AI, we have witnessed the rapid growth of both the company and its team. We recognize its leading capabilities in data governance and machine learning modeling, its end-goal-oriented approach to health information system construction, its productization prowess driven by a deep understanding of clinical scenarios and medical needs, as well as its ability to successfully deploy auxiliary diagnostic products. These strengths give us great confidence in the company’s future development and reinforce our determination to partner with this outstanding enterprise to support its growth.
Dr. Zhang Shaodian, Founder of SYNYI·AI, stated that he is delighted to see the company’s development gain recognition from numerous investors. SYNYI·AI will continue to adhere to its product strategy centered on intelligent clinical healthcare solutions, effectively enhancing efficiency and capabilities for hospitals and physicians, optimizing every medical decision, and ultimately ensuring that every patient enjoys efficient, high-quality medical services.