Company Description
Datasea Inc. (NASDAQ: DTSS) is a Nevada-based high-tech enterprise that focuses on two core areas: acoustic high tech and 5G-AI multimodal digitalization. According to the company’s public statements, it positions itself as a provider of products, services, and solutions for enterprise and retail customers, using advanced research and development as the backbone for its offerings.
In its acoustic high-tech business, Datasea applies ultrasonic, infrasound and directional sound technologies. The company states that these technologies are used to combat viruses and prevent human infections, and that it is developing applications in medical ultrasonic cosmetology. Over time, Datasea has expanded this acoustic platform toward health-related scenarios, including precision health management, neuromodulation, and non-pharmacological health management frameworks described as “Detection–Analysis–Diagnosis–Intervention.”
A key focus of Datasea’s recent disclosures is the integration of acoustics with brain–computer interface (BCI) research. The company has announced engineering-stage systems such as a Real-Time Closed-Loop Vibration-Enhanced BCI System and an Acoustic-Coupled EEG Signal Enhancement System. These technologies are described as supporting brain-signal acquisition, decoding, feedback modulation, missing-signal reconstruction, and acoustic-field enhancement, with potential application areas in healthcare, neuromodulation, intelligent interaction, and rehabilitation.
Datasea reports that it is exploring non-invasive BCI applications, including assistive communication and upper-limb rehabilitation robot control. Its public materials describe work on acoustic-driven signal enhancement based on NeRF acoustic field modeling and nested generative networks, EEG feature selection using genetic algorithms, and the use of Fourier and Hilbert–Huang transforms to extract multidimensional time–frequency features. The company has also disclosed research into flexible MXene electrode membranes and transcranial closed-loop ultrasound modulation as part of a closed-loop system that links ultrasound stimulation, neural signal acquisition, real-time feedback, and device execution.
In addition to internal R&D, Datasea has announced collaborations with health robotics and BCI-focused enterprises in China. For example, it has described agreements with Nanjing Linghang Intelligent Aviation Technology Co., Ltd. to integrate acoustic enhancement technologies into non-invasive BCI and healthcare robot systems, with joint work on system integration validation, engineering testing, and application-oriented exploration.
Beyond BCI and neuromodulation, Datasea has reported a breakthrough in acoustic technology that combines sound wave coupling with AI for precision health management and clinical intervention. The company states that it has realized precise regulation of the nervous system, including intracranial, peripheral, and cardiac areas, as well as targeted foot acupoint stimulation. It describes this as enabling a closed-loop ecosystem in medical and health scenarios and as the basis for ultrasound neuromodulation as a core product strategy.
On the commercial side of acoustics, Datasea has disclosed initiatives in health wearables and beauty and health service environments. One example is a service agreement to embed proprietary acoustic health hardware and software into smart health shoes for adult and children’s products, enabling functions such as heating, weight monitoring, ultrasonic sterilization to remove odors, relieving fatigue, improving sleep quality, assisting in the treatment of chronic diseases such as joint pain, and promoting metabolism. The agreement uses a usage-based licensing model with technology service fees linked to production volumes and a minimum guaranteed service fee.
The company has also announced a strategic partnership to deploy an “Acoustics Digital AI • Beauty & Health System” in a beauty and wellness chain context. In that collaboration, Datasea describes a full-stack system covering user operations, health detection, multimodal data intelligence, and AI-enhanced robotics. The disclosed capabilities include intelligent user and operations management based on a proprietary AI engine for user profiling, behavioral analytics, service matching, and repurchase prediction, as well as acoustic algorithms, sensing technologies, and AI recognition models embedded into intelligent robotics products. Reported functions include high-precision health and condition assessments, sleep analysis and improvement, sound-wave–based intervention functions, and environmental cleansing and air purification through acoustic sterilization.
Datasea’s second core business is its 5G-AI multimodal digitalization segment, which it describes as operating on a cloud platform based on AI. Public disclosures indicate that this segment has been a major revenue driver, with services such as 5G+AI multimodal digital solutions, data top-up services, and AI-powered communication tools. The company has reported contracts for customized 5G-AI digital services with enterprise clients, including agreements valued up to tens of millions of dollars over defined service periods, and has highlighted applications across areas such as new media marketing and SME digitalization.
In its financial communications, Datasea has emphasized a “dual-engine” strategy built around AI multimodal digitalization and acoustic high tech. The company has described a deliberate shift from lower-margin standardized 5G AI multimodal top-up services toward higher-margin, technology-driven solutions. It has cited examples of customized 5G+AI multimodal digital services for clients in live-streaming and smart home marketing scenarios, and has linked this shift to improvements in gross margin and a focus on sustainable profitability.
Datasea’s AI multimodal platform is described as integrating multiple data types, including text, video, and audio, using proprietary Transformer architectures and distributed AI training methods. The company states that this supports applications such as precision marketing systems, AI multimodal services for SMEs, digital rural platforms, and new media marketing systems. It has also referenced a combination of standardized platform offerings and customized solutions, with recurring revenue models such as SaaS subscriptions and solution-based fees.
Geographically, Datasea reports that its operating entities and subsidiaries in the People’s Republic of China generate revenue from that market. It has also disclosed the establishment of a wholly owned subsidiary, Datasea Acoustics LLC, in Delaware, as part of a strategic move to enter U.S. markets and support a global expansion plan focused on acoustic products and patent deployment.
Across its communications, the company frequently frames its strategy as “acoustic technology plus multi-scenario applications” and “acoustics + AI + application scenarios”. This includes healthcare, beauty and wellness, intelligent wearables, rehabilitation robotics, and 5G-AI digital services for enterprises. Datasea’s public materials also highlight growth in intangible assets such as patents, which it associates with an “asset-light, high-value” transformation and with building technical and intellectual property barriers in acoustics, BCI, and AI multimodal digitalization.