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Cryptocurrency News Articles

Deutsche Bank partners with finaXai to explore the integration of machine learning and large language models (LLMs) into asset servicing workflows.

May 26, 2025 at 11:50 am

Deutsche Bank has announced a collaboration with Singapore-based fintech start-up finaXai to explore how artificial intelligence (AI) can support the servicing of tokenized investment funds.

Deutsche Bank partners with finaXai to explore the integration of machine learning and large language models (LLMs) into asset servicing workflows.

Deutsche Bank is collaborating with fintech start-up finaXai to explore how AI can support the servicing of tokenised investment funds.

The initiative builds on Project DAMA 2, a multi-chain asset servicing pilot designed to improve fund servicing efficiency through blockchain technologies.

The partnership will assess the integration of machine learning and large language models (LLMs) into asset servicing workflows.

The goal is to enhance fund lifecycle management with tools that improve speed, transparency, and accuracy whilst maintaining explainability, the bank said.

FinaXai is a graduate of the Fincubator programme at the Asian Institute of Digital Finance. It was co-founded by researchers from Nanyang Technological University (NTU Singapore) and the National University of Singapore (NUS).

The startup operates within the framework of a broader collaboration between Deutsche Bank and NTU, launched in 2023 to foster joint research in Web3 technologies and tokenized assets.

“This project will unify leading research-backed solutions with industry applications to reduce complexity and boost AI’s explainability and integration with DLT,” Deutsche Bank said in a statement.

The bank added that the partnership is part of its effort to better understand the evolving needs of asset managers in the context of digital asset servicing.

FinaXai focuses on developing AI solutions that are both transparent and aligned with industry requirements. The startup combines academic research with applied machine learning and natural language processing to create tools for data-driven asset selection and portfolio construction.

Original source:asianbankingandfinance

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