First Manhattan Shifts to Centralized Data for AI
The wealth management firm is centralizing its internal data infrastructure to support AI-driven investment tools.
Updated on Oct. 15, 2026 in Artificial Intelligence
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New York City-based First Manhattan has implemented a centralized data strategy to scale its artificial intelligence adoption. The firm is focusing on consolidating data storage and accessibility to improve trade modeling and investment research.
Why it matters
By building a unified data warehouse rather than relying on disparate tools, the firm aims to better support its model of managing bespoke portfolios for individual clients. This strategy is designed to assist staff in analyzing information across thousands of accounts.
First Manhattan manages assets totaling $39 billion across more than 10,000 individual accounts. The firm is currently consolidating data creation and storage into a central warehouse to serve its broader AI strategy.
The players
First Manhattan
This is a New York City-based investment firm that focuses on managing bespoke stock portfolios for its clients.
Arta Finance
This is a financial technology company based in Silicon Valley and Singapore that is partnering with First Manhattan on AI research.
Graham Clifford
He is an executive who joined First Manhattan in 2020.
The details
First Manhattan validates its AI solutions by identifying specific business requirements and consulting with internal stakeholders. To further its expertise, the firm is collaborating with Arta Finance to develop a research report regarding the implementation of AI within wealth management.
Timeline
First Manhattan was established in 1964.
Assets under management were measured as of June 30, 2026.
A research report on AI in wealth management is slated for publication in Q4 2026.
The Tech Race
The firm’s move to centralize data marks a departure from the industry trend of purchasing siloed, off-the-shelf software tools. By building a proprietary data foundation, First Manhattan positions itself to better leverage modern AI capabilities against larger financial competitors.
Clients of First Manhattan may see improvements in the speed and accuracy of portfolio modeling as the firm upgrades its internal systems. These changes are intended to provide advisors with better analytical tools to support personalized investment strategies.
The takeaway
Financial institutions are increasingly prioritizing the structural integrity of their internal data as a prerequisite for effective AI integration. Firms that succeed in this transition are better positioned to offer highly personalized investment services at scale.
What happens next
First Manhattan and Arta Finance are scheduled to publish their collaborative report, titled AI in Wealth Management, in the fourth quarter of 2026.
Further reading
For more developments in this field, visit the Artificial Intelligence section.
Source note: This article includes information reported by Wealthbriefingasia.
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