FinaXai, a collaborative AI venture established by researchers from NTU and NUS, has been enlisted to revolutionize tokenized funds servicing through advanced AI in Project DAMA 2.
Deutsche Bank, a global financial institution, has announced a groundbreaking collaboration with FinaXai, a Singapore-based AI company. The partnership aims to revolutionize asset servicing workflows through the integration of Machine Learning (ML) and Large Language Models (LLMs) in the context of tokenized fund servicing.
At the heart of this collaboration is the expansion of Project DAMA 2, Deutsche Bank’s public-permissioned multi-chain asset servicing pilot. FinaXai’s AI capabilities are being integrated to significantly enhance the platform’s functionality, particularly in automating and optimizing workflows that underpin tokenized asset management.
The partnership explores how AI, including machine learning models and large language models, can support asset managers, wealth advisers, and financial firms in creating, distributing, and servicing tokenized assets more efficiently. The AI integration is expected to reduce upfront infrastructure costs and streamline asset servicing processes.
By integrating ML and LLM tools, the collaboration aims to improve tasks such as information retrieval, document summarization, and the generation of communications, thereby boosting productivity and accuracy in asset servicing workflows. This focus on digital transformation and innovation aligns with broader initiatives toward cloud migration, AI adoption, and automation within asset management, allowing for a more scalable and agile servicing of tokenized financial products.
Anand Rengarajan, Head of Securities Services APAC & MEA and Global Head of Sales at Deutsche Bank, expressed his excitement about the collaboration. Boon Hiong Chan, the Asia Pacific Head of Securities & Technology Advocacy and Industry Applied Innovation Lead at Deutsche Bank, also expressed his enthusiasm for the partnership.
On the FinaXai side, Dr. Mao Rui, the Technology Lead and Research Scientist at FinaXai, College of Computing and Data Science, NTU, is leading the AI research efforts. Dr. Gianmarco Mengaldo, Co-Founder of FinaXai and Assistant Professor at NUS, focuses on bridging human understanding with AI methods through explainable AI. Federico Cristina serves as the Business Lead at FinaXai.
Keane Ong, a Technology Scientist and a PhD candidate in Digital Financial Technology at NUS, specializing in Machine Learning and Natural Language Processing, is also part of the team. Dr. Erik Cambria, Co-Founder of FinaXai and Professor at NTU, is looking forward to applying explainable AI techniques to finance and asset tokenisation.
For more information about this collaboration, please contact AG Media Relations: Kate Fields, Phone: +852 2203 5094, Email: [email protected].
This collaboration is part of a strategic move toward next-generation, AI-powered asset servicing platforms like Project DAMA 2, transforming the landscape of digital asset management.
- In the context of this collaboration, Deutsche Bank and FinaXai aim to leverage artificial-intelligence technologies, such as machine learning models and large language models, to automate and optimize workflows in tokenized asset management and reduce upfront infrastructure costs, thereby transforming the landscape of digital asset management.
- The integration of AI, including machine learning models and large language models, is expected to boost productivity and accuracy in the servicing of tokenized financial products, aligning with broader initiatives toward cloud migration, AI adoption, and automation within the asset management industry.
