Arta expands AI wealth platform globally, adds Bank of Singapore and Hong Leong Bank
Arta has taken its SaaS platform, Arta AI, into general availability worldwide and signed two notable clients: Bank of Singapore and Hong Leong Bank (HLB). The move signals growing demand for AI that can speed decision-making, reduce manual analysis, and bring consistency to advice across wealth teams.
What Arta AI does
Arta AI is a conversational platform built for wealth management. It connects client portfolios, market pricing, and institutional data to produce analysis, reporting, and risk modelling through Monte Carlo simulations. Its AI Sidekick functions as a digital agent, aggregating customer data and automating routine analytical tasks so advisors can focus on higher-value conversations.
Who's using it-and how
Bank of Singapore, the private banking arm of OCBC with approximately $116 billion in assets under management, will deploy Arta AI to strengthen services for external asset managers and family offices. The platform will support the bank's Financial Intermediaries, Family Office, and Wealth Advisory unit, led by former UBS executive Leong Guan Lim. "Enhance our financial intermediary clients' research capabilities, automate the quantitative heavy lifting for each portfolio, and enable them to focus on the bespoke, human-centric advice their clients value," says Lim. Learn more about the bank at Bank of Singapore.
HLB plans to use Arta AI to scale its wealth business by giving relationship managers investment recommendations aligned with the bank's product risk framework and CIO research. "By connecting portfolio data, CIO research, and product-level risk models, we aim to make every recommendation more consistent, personalised, and aligned with our clients' individual risk appetites," says Jeffrey Yap, managing director and regional head of wealth management at HLB.
Ethivo Asset Management in Hong Kong is also implementing the platform, joining existing clients Wio Invest (of Wio Securities) and Income Advisory Financial Advisers.
Why it matters for management
For leaders, the value is clear: faster proposals, tighter risk adherence, and fewer manual handoffs. Centralizing data and guidance (CIO views, product risk models, client mandates) reduces variability and makes oversight easier. This is less about shiny demos and more about consistent output you can audit.
How to put this to work
- Map your data sources: portfolios, product-level risks, pricing, CIO research, and compliance rules.
- Start with a pilot desk (EAMs or family offices) where complexity and touchpoints are high.
- Set guardrails: approval workflows, rationale logging, and clear thresholds for RM overrides.
- Train RMs on prompts, review standards, and documenting advice rationales.
- Track impact: time-to-proposal, % recommendations within risk bounds, revenue per RM, and client satisfaction.
- Ensure auditability: immutable logs for conversations, data inputs, and recommendation changes.
Who's behind Arta
Arta is headquartered across the US and Singapore and exited stealth in 2022 with more than $90 million in seed funding. CEO and co-founder Caesar Sengupta leads the company, backed by Peak XV, Ribbit Capital, Coatue, EDBI, former CEOs of Google, UBS, ING, and Intel, and Mastercard's Michael Miebach.
If you're building your team's AI capability
If your next step is training RMs and analysts on practical AI workflows for wealth, this curated list can help: AI tools for finance.
Your membership also unlocks:
