Eagle Cloud Raises Series B+ to Expand AI Governance Platform

Eagle Cloud closed a Series B+ round of close to RMB 100 million, about four months after its Series B, to extend its AI governance platform to autonomous agents and expand overseas operations. The Hong Kong and Hangzhou company says the funding will support international growth and deeper enterprise AI security controls.

Why it matters: - Enterprise AI is shifting from chatbots that answer questions to agents that can take actions on their own. - That shift raises new governance needs around permissions, access, accountability, and shutdown controls. - Eagle Cloud is positioning its platform as the infrastructure layer for managing those risks across human and AI actors.

What happened: - Eagle Cloud closed a Series B+ funding round of close to RMB 100 million, or about USD 14 million. - MTR Lab and Northern Light Venture Capital co-invested in the round. - Voyagers Partners served as financial advisor. - The round closed four months after Eagle Cloud completed its Series B. - The company is based in Hong Kong and Hangzhou.

The details: - Eagle Cloud said the new capital will extend its governance infrastructure to AI agents and other autonomous enterprise actions. - The funding will also support international expansion through a larger overseas team and stronger local delivery capability. - Eagle Cloud's Yunshu platform governs human and AI actors in a single system. - The Yunshu AIDR module manages each agent from creation to retirement in five stages. - Discover identifies agents across the enterprise, including shadow AI tools adopted without IT approval. - Define creates an execution contract for each agent type covering objectives, permissions, validity period, and cost budget. - Identify links each agent to its creator, user, and owner so responsibility can be traced. - Enforce checks behavior against the contract and can issue alerts, restrictions, or blocking based on risk. - Measure tracks AI costs by model, agent, workflow, and owner to support budgeting and resource planning. - Eagle Cloud said Yunshu AIDR works within an enterprise's existing architecture by connecting to identity, endpoint, network, application, and data layers already on the Yunshu platform. - The company said that approach reduces fragmentation and duplicated build-out. - Eagle Cloud serves more than 1,000 enterprises across more than 20 industries. - The platform covers more than 5 million endpoints. - Hong Kong is the company's base for international expansion. - Eagle Cloud was among the first companies admitted to the Hong Kong-Shenzhen Innovation and Technology Park under its AI and Data Science track. - Eagle Cloud works with HSITP partners to reach markets in Southeast Asia and Central Asia. - MTR Lab expects to help Eagle Cloud deepen its presence in Hong Kong, Macau, and Southeast Asia.

Between the lines: - The investment points to growing demand for governance tools as enterprises deploy AI agents inside core business workflows. - Eagle Cloud is trying to turn its existing security stack into a broader control layer for agentic AI. - The company is also using Hong Kong as a bridge for regional and overseas expansion. - MTR Lab's participation signals interest in deep tech that fits smart city and sustainability-related sectors. - Northern Light Venture Capital framed the deal as a bet on both the AI shift and Chinese companies expanding abroad.

What's next: - Eagle Cloud plans to broaden adoption of Yunshu AIDR across enterprise AI deployments. - The company also plans to expand overseas service capabilities and local market support. - The company is likely to lean on Hong Kong and HSITP partnerships to build out its regional footprint. - Eagle Cloud said its long-term vision is for organizations run by people and AI together to be built on verifiable trust.

The bottom line: - Eagle Cloud is using fresh capital to push beyond AI security into full agent governance, while building an international sales and delivery base.