Founded in July 2024 by Prof. LIU Qifeng in Hong Kong, Wiener Intelligence focuses on generating inference-driven question-answering data (cQrA: Context, Question, Reasoning, Answer) and building a closed-loop "data → model → token → data" system to improve model accuracy and agentic capabilities. The team published an article in Nature Communications describing the RDPM model for kidney cancer surgical decision-making, trained on a cohort of 1,621 patients and externally validated with AUCs between 0.788 and 0.873. The company emphasizes automated generation of full reasoning chains and answers rather than traditional human annotation, aiming to make AI both "good at asking" and "good at answering." Wiener Intelligence has completed commercial proof-of-concept work and won leading customers in four industries: values and security control, public administration, insurance, and horse racing. The firm has a strategic collaboration with compute provider Muxi and positions its offering as industry-replicable across professional domains. Its longer-term goal is to enable autonomous iterative improvement of models through continuous data generation and evaluation.

Total raised

$6M

Funding rounds

1

Latest round

Seed

Latest activity

Aug 2026