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Datasea Secures $100 Million in 5G+AI Contracts from Major Clients, Reinforcing Strategic Expansion and Long-Term Growth
Prnewswire· 2025-05-19 12:30
BEIJING, May 19, 2025 /PRNewswire/ -- Datasea Inc. (NASDAQ: DTSS) ("Datasea" or the "Company"), a Nevada-based technology company specializing in acoustic high-tech products and 5G+AI multimodal digital solutions, today announced that its subsidiaries have signed two new service contracts totaling up to $100 million for the provision of 5G-AI multimodal digital services over a 12-month period. The customers include long-term partner Qingdao Ruizhi Yixing Information Technology Co., Ltd. ("Qingdao Ruizhi Yix ...
Datasea Pre-Announces Estimated Third Quarter Revenue of approximately $51.9 Million, up approximately 164.6% Year-over-Year
Prnewswire· 2025-05-08 13:30
Core Insights - Datasea Inc. expects to achieve projected annual revenue of $90 million, with third-quarter fiscal year 2025 revenue anticipated to be approximately $51.9 million, reflecting a year-over-year increase of about 164.6% compared to $19.6 million in the same period last year [1][2] Company Overview - Datasea Inc. is a digital technology company based in Nevada, specializing in acoustics high-tech and 5G+AI multimodal digital innovations [4] - The company provides products, services, and solutions for enterprise and retail customers, leveraging advanced R&D technology as the backbone for its offerings [4] - Datasea's 5G multimodal digital segment operates on a cloud platform based on AI, while its acoustics business utilizes cutting-edge technologies to combat viruses and develop applications in medical ultrasonic cosmetology [4] Strategic Focus - The company is strategically positioned to leverage opportunities in both the acoustics high-tech and 5G+AI multimodal digital sectors, aiming to drive long-term shareholder value [3] - Datasea's CEO emphasized the importance of technological innovation and market expansion in driving substantial growth, with a commitment to enhancing cost management and operational efficiencies [2]