Chinese Data Generation Team Makes Debut in Nature Journal
A Hong Kong-based startup, Weina AI, has become China's first and the world's fourth data-generation technology company to publish in a leading Nature journal (IF>10 in recent three years) with a paper on AI-assisted kidney cancer surgery decision-making. Founded by Professor Liu Qifeng, who previously led the creation of the world's first thousand-card H800 SuperPod cluster at HKUST, the company focuses on enhancing AI's "questioning" ability to generate high-quality reasoning Q&A data, which is key for AI self-learning.
The published Nature Communications paper, co-authored with medical experts, addressed a clinical challenge in renal surgery. Using an RDPM model on multi-source data from 1,621 patients, the AI achieved high predictive accuracy for long-term kidney function decline, providing a quantitative basis for surgical decisions.
Professor Liu outlines AI development in three stages: from data to models, from models to token generation, and crucially, from tokens back to data—where AI actively generates questions, reasoning steps, and verified answers (cQrA: context, Question, reasoning, Answer). Weina AI's mission is to create this "data → model → token → data" feedback loop, enabling Agentic AI to autonomously evolve in professional domains. This moves beyond costly manual data annotation by using AI agents to generate scalable, chain-of-thought data.
The company raised a HK$50 million seed round led by Lenovo Capital. Instead of focusing deeply on one sector, it adopted a "breadth-first" strategy, successfully deploying its technology across four high-accuracy, disparate fields: value-alignment safety, government affairs, insurance, and horse racing, proving cross-industry replicability.
Liu argues that the future core of AI is not the model or data alone, but this self-reinforcing closed loop. This logic extends to embodied AI, where training shifts from imitation to autonomous generation of action data (cTrA: context, Task, reasoning, Action) through trial, error, and feedback. Weina AI's vision is to leverage this paradigm to "generate the world."
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