Tianyancha
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Headlines · 3
- China Telecom takes stake in Hefei Shusuan as registered capital jumps to 7.05B yuan
Citing business-registry data from Tianyancha, 36Kr reported that Hefei Shusuan Technology Co. added China Telecom Corporation as a shareholder, while its registered capital rose from 20 million yuan to about 7.05 billion yuan, an increase of roughly 35,172 percent. The company was founded in February 2024, has Zhang Yunlei as its legal representative, and lists cloud-computing equipment services, an artificial intelligence public data platform, quantum-computing technology services and intelligent control system integration in its business scope. After the change it is held jointly by Hefei Big Data Asset Operations Co. and the newly added China Telecom, with individual stakes not disclosed in the report.
36氪快讯 · 🔥 0 - China's MIIT moves to draft AI agent interface and MCP security standards
China's Ministry of Industry and Information Technology has been soliciting public comment on its seventh batch of 2026 industry-standard revision plans, which include projects on AI safety governance, security requirements for Model Context Protocol (MCP) applications, and classification and basic requirements for agent interfaces. The report argues that as agents plug into enterprise workflows, external tools and business data, AI safety governance is shifting from the model itself to interfaces, permissions and call chains, where missing boundaries amplify risks of data leakage, unauthorized calls and misoperation. It cites Tianyancha data saying China has more than 210,000 AI-security-related companies, with about 31,500 newly registered so far in 2026.
DoNews · 🔥 0 - MIIT launches Industrial Data Foundation push as AI focus shifts to data
China's Ministry of Industry and Information Technology has launched an industrial data foundation initiative that aims, by the end of 2026, to cultivate industry data collaboratives, build trusted interconnection platforms for key sectors, aggregate industry data, draft industrial data standards and create high-quality, standardized, tradable industry datasets. The article argues that industrial AI adoption is shifting from model capability contests toward data resources and closed-loop deployment scenarios, because equipment, process, quality-inspection, energy, supply-chain and after-sales data remain scattered across separate systems and cannot be used directly to train industry models. Citing Tianyancha, it says about 460,000 industrial data service companies exist in China, with roughly 68,000 new registrations since the start of 2026, and names industrial software, data governance, edge computing, industrial knowledge graphs and industry-model providers as beneficiaries, while general-purpose model vendors lacking industry data and on-site delivery capability come under pressure.
DoNews · 🔥 0
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