New AI tool targets helping GCC wealth managers

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The wealth management industry in the GCC, holding an estimated $650bn in assets under management (AuM), is set to benefit from the introduction of WealthArc AI & Analytics.

This solution leverages advanced neuro-symbolic AI to offer family offices and wealth managers a new level of control and understanding of their data.

WealthArc, a data management provider, has partnered with ZeroLink, a pioneer in neuro-symbolic AI, to develop this solution.

WealthArc’s existing platform, used by numerous financial institutions, is known for its user-friendly interface, and multi-currency support.

Radomir Mastalerz, CEO of WealthArc said: “The GCC has been at the forefront of technology adoption, especially within the BFSI (banking, financial services and insurance) sector. The push for greater integration of AI is both at the policy level and from family offices and HNWIs.

“WealthArc’s AI & Analytics introduces a new generation transformative approach to investment reporting. We follow the Swiss Gold standard in data quality. With a highly intuitive application and an effective automated reconciliation process that allows us to identify 99.3 per cent of mistakes from the custodian data feed, we have broken the wealth data complexity.”

Key benefits of WealthArc AI & Analytics

The solution combines the strengths of neural networks and symbolic logic to provide accurate and insightful information, enabling users to easily access and interact with complex data sets through a “Chat with your data” interface.

Unlike solutions relying solely on large language models (LLMs), which can struggle with accuracy and data privacy, the new solution leverages ZeroLink’s knowledge graph technology, which utilises machine learning to provide fast, accurate, and explainable answers to complex questions that can be customised by users.

Structured data and unstructured text can be translated into a computable knowledge graph, allowing users to ask questions conversationally such as “What was my best-performing stock in March?”, or “What was the currency exchange rate impact on my portfolio?” and receive accurately sourced answers. What enables this ability is ZeroLink’s knowledge graph and ontology containing a curated collection of over 17 billion entities, facts, attributes, relations, and reasoners that make up a fundamental world model.

“Instead of training these models on massive corpuses of data to improve accuracy, our technology enables natural language querying from your existing data and ensures data privacy,” said Darren Tseng, CEO of ZeroLink.