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Transwarp Technology (Shanghai) Co. Ltd. A

Transwarp Technology (Shanghai) Co., Ltd. provides infrastructure software and services for data integration, storage, governance, modeling, analysis, mining, and circulation in China and internationally. Its products include Transwarp Data Hub, a big data infrastructure platform; Transwarp Data Cloud, a cloud operating system; Transwarp ArgoDB, a distributed analytical database; Transwarp KunDB, a distributed transactional database; Transwarp Data Studio, a big data development and governance platform; Transwarp Sophon, an intelligent analysis tool; and Transwarp Knowledge Hub, an AI infrastructure platform, along with big data and intelligent recognition appliance series such as TxData and TxIRA. The company also offers data lake, data mart, data warehouse, digital innovation platform, edge computing, machine learning, and information retrieval solutions, serving the financial, transportation, energy, government, education, manufacturing, and medical industries. Incorporated in 2013, it is headquartered in Shanghai, China.

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Transwarp Technology's 2026 interim report shows net loss of 113 million yuan

Transwarp Technology released its 2026 interim report. Total operating revenue was 174 million yuan, net profit attributable to the parent company was negative 113 million yuan, and net cash flow from operating activities was negative 156 million yuan, a decrease of 23.08 million yuan compared with the same period last year. The company's latest asset-liability ratio was 27.75%, gross margin was 47.11%, ROE was negative 15.05%, and diluted earnings per share was negative 0.93 yuan. The number of shareholders was 21,500, and the top ten shareholders held 37.39% of the total share capital.
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Artificial Intelligence

Transwarp Technology narrows first-half loss to 113 million yuan, revenue up 13.8% year on year

Transwarp Technology released its 2026 interim report. First-half operating revenue was 174 million yuan, up 13.8% year on year. Net loss attributable to the parent was 113 million yuan, narrowing from a loss of 143 million yuan in the same period last year. Net loss attributable to the parent after deducting non-recurring items was 143 million yuan, also down from a loss of 156 million yuan a year earlier. Net operating cash flow was negative 156 million yuan, down 17.4% year on year. Loss per share was 0.9315 yuan. In the second quarter, operating revenue was 92.35 million yuan, up 4.8% year on year. Net loss attributable to the parent was 56.84 million yuan, narrowing from a loss of 59.37 million yuan a year earlier. However, net loss attributable to the parent after deducting non-recurring items was 82.14 million yuan, widening from a loss of 68.4 million yuan in the same period last year. As of the end of the second quarter, total assets were 1.038 billion yuan, down 11.9% from the end of the previous year. Net assets attributable to the parent were 750 million yuan, down 13.1% from the end of the previous year. The company said its operating business maintained steady growth during the reporting period, especially in artificial intelligence and big data infrastructure, and it continued to increase investment in technology research and development and market expansion. Fundraising projects progressed smoothly, and the company is in a stage of rapid growth overall.
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Artificial Intelligence

Transwarp Unveils GPU-Native Cognitive Database at WAIC 2026

Transwarp officially launched its GPU-native cognitive database at WAIC 2026, aiming to lower the barriers for developing and using agent-based applications. The database has been validated in multiple complex scenarios, helping enterprises build deployable and continuously evolving intelligent applications more quickly. When hundreds of agents operate concurrently at high frequency and a single task requires hundreds of consecutive data accesses, the computational and bandwidth bottlenecks of traditional databases are rapidly magnified. The GPU-native cognitive database can simultaneously handle high-parallelism data workloads from a large number of agents, further reducing end-to-end response times. Staff at the Transwarp booth noted that databases are evolving from traditional data storage systems into cognitive infrastructure that supports continuous AI analysis, judgment, and execution.
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