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Singdata Closes Series B Funding at Over USD $100M, Officially Launches in Hong Kong to Build AI-Native Data Infrastructure
Singdata (Yunqi Tech) has closed its Series B funding at over USD $100M and officially launched in Hong Kong, aligning with the HKSAR Government’s HKD 3B "AI+" initiative. As enterprise AI matures, the primary bottleneck has shifted from models to AI-ready data infrastructure.
Key Highlights:
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AI-Native Architecture: Resolves AI bottlenecks via Generic Incremental Compute (GIC) and AI Lakehouse for dark data parsing and real-time retrieval.
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Open Standard & Sovereignty: Core contributor to Apache Iceberg, offering multi-cloud support and complete data sovereignty.
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Proven Enterprise Adoption: Trusted by APAC leaders including AntGroup, Rednote, Kuaishou, Toyota, Volkswagen, and Ninja Van.
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Apsara Team Pedigree: Built by senior data infrastructure veterans from Alibaba Cloud, Microsoft, and ByteDance.
Singdata Closes Series B Funding at Over USD $100M, Officially Launches in Hong Kong to Build AI-Native Data Infrastructure
Enterprises worldwide are racing to deploy AI Agents. Yet industry reports show that only 31% have reached production, with organizations citing systems integration (46%) and data access/quality (42%) as top barriers. The real bottleneck is no longer the model — it is whether the underlying data is AI-Ready.
Singdata (Yunqi Tech), an AI-native data infrastructure company, today announced the close of its Series B funding round, bringing total funding to over USD $100 million. The milestone marks an inflection point for the Asia-Pacific "Data + AI" infrastructure category.
Why Hong Kong, Why Now — After Compute, Data Is the Next Battlefield
The HKSAR Government is driving a HKD 3 billion "AI+" strategy. As compute becomes abundant, the next bottleneck is the data layer powering AI applications. Singdata’s Hong Kong launch responds directly to this demand: when enterprise compute and models mature, data infrastructure paradigm upgrades determine AI production success.
Solving Two Structural Bottlenecks for Enterprise AI
Singdata's core innovations — Generic Incremental Compute (GIC) and Lakehouse architecture — address key enterprise AI pain points:
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AI-Ready Data: Native support for documents, audio, video, and unstructured "dark data" (80%+ of enterprise data), automatically parsed, vectorized, and aligned with LLM inference.
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Real-Time, Low-Cost Retrieval: GIC processes only changing data, decisively breaking cost and latency ceilings of traditional architectures to support high-frequency, millisecond-level vector search.
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Data Sovereignty: Fully compatible with all major cloud platforms and built as a major contributor to the Apache Iceberg open standard.
Customer & Leadership Trajectory
Singdata's customer base spans APAC leaders across Internet (AntGroup, Rednote, Kuaishou), Automotive (Changan Auto, Great Wall Motor, Toyota, Volkswagen), and Logistics (Ninja Van, Synagie, Atlas). Founded by senior alumni from Microsoft, Oracle, Alibaba Cloud, and ByteDance, Singdata’s team was central to building Alibaba Cloud’s "Apsara" data platform.
"The data stack built over the past two decades was designed for human analysts reading T+1 dashboards," says Yu Sicheng, CEO of Singdata. "An AI Agent can fire ten thousand queries a second. What Singdata is rebuilding is a data platform designed natively for Agents."
