High Performance AI for Banks' AML and Anti-Fraud
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We provide high-performance solutions (including software packages and algorithms) backed up by innovative technologies like swarm learning, federated learning, and deep learning for large financial institutions like banks, hedge funds, and government agencies.
Advised by the previous chair professor of the Math Department in HKU and the Dean of Science Faculty in HKBU, our all-rounded team is made up of talents from Harvard, Cambridge, UlUC, and the University of Hong Kong, and industrial experts from Facebook, Morgan Stanley, and Walmart Lab.
Swarm Learning anchors the portfolio, while AI analytics and quantum computing deliver the tooling, models, and services to complete the loop.
Enable privacy-preserving collaboration among financial institutions without ever sharing raw data.
Read moreUncover hidden fraud rings and complex money laundering patterns using advanced Graph Neural Networks.
Read moreFuture-proof your financial models with cutting-edge quantum algorithm design and circuit simulation.
Read moreBased on our experimental results on AML datasets, our Swarm Learning solution outperforms traditional centralized training while ensuring zero data leakage.
*Data Source: Internal experiments on Titanic AML dataset.
