David Lee: Making AI the Co-Pilot for Asia's Wealth Boom

David Lee is the co-founder of WealthRyse, an AI "co-pilot" for wealth advisors and family offices, based in Hong Kong. It gives them institutional-grade portfolio management, the kind large banks build in-house, without the analyst teams or seven-figure price tag that normally requires.

The idea came from a complaint Lee kept hearing from family offices: they wanted institutional-grade decision infrastructure, but could not justify the cost or headcount to build it themselves. WealthRyse's engine, called iStrategy, helps do that work instead. It reads a client's holdings and market conditions, then produces a decision-ready recommendation on what to buy, sell, or rebalance, and why.

"We're trying to democratize the landscape," Lee says. "So family offices don't have to be forced into products that aren't right for them just because that's what they can access. They can build something customized, with their own layer of decision-making and capital allocation."

From the Law Firm to the Buy Side

Lee trained as a lawyer, graduating from Harvard Law School and joining a top-five law firm, before deciding the profession wasn't for him.

"I liked the ability to help people solve problems," he says. "But the legal profession is really good if you just sit back and let people bring problems to you. You're not there while the problem is still in its gestation stage."

Wanting to be closer to that earlier stage, he moved to Credit Suisse as an investment banker, before moving to the buy side in private equity, where he was responsible for returning capital to the pension funds, family offices, and asset managers behind a multi-billion-dollar fund.

"That's when I completed the circle," he says. "A lot of founders don't think enough about that responsibility. It's not your money. Whatever you build, you eventually have to give it back, with something to show for it."

Along the way, he ran syndication and investment banking at KDB Daewoo Securities, steered Cowell e Holdings through a Hong Kong IPO as its managing director, and spent more than seven years as a director at a wealth-tech platform before co-founding WealthRyse in 2024.

Teaching AI to Play the Endgame

Lee explains WealthRyse's thesis through AlphaGo. Go was long considered unbeatable by computers because human players relied on insight, informed guesses about how an opponent would respond. DeepMind's breakthrough was to make insight irrelevant, computing the outcome of millions of possible games and working backward from the ones it won to find the best next move.

"The insight is guessing. Knowing is knowledge," he says. "If you can model how a scenario may end, you do not need to rely only on guesswork. You can work backward toward the move most likely to get you there."

WealthRyse applies the same logic to a portfolio, modeling millions of ways an allocation could gain or lose money and working backward from the best outcome to the next trade.

The point is not to predict the market perfectly. It is to help decide how capital should be allocated when markets keep changing.

"It models millions of scenarios where a portfolio could gain or lose money, identifies the pathway that best aligns with the client's objectives and constraints, and works backward toward the next appropriate rebalancing decision," he says. "That's what used to require a room full of portfolio managers and analysts."

That, in Lee's view, is also what separates WealthRyse from the AI research tools now common in finance, including Bloomberg's own products, which summarize existing research rather than make an allocation decision.

"AI research tools can read a hundred research reports on Apple and give you a one-page summary. What I still have to decide is how many shares to buy or sell. We aim to give advisors a decision-ready recommendation, not just part of the research workflow," he says.

Bloomberg is connected through Terminal Connect, giving WealthRyse access to Bloomberg data and workflow connectivity without framing the relationship as a conventional partnership or competitive comparison. Sprout Asset Management, and Wang On Group are also among WealthRyse's backers and partners so far.

Why Wealth Management Moves So Slowly

Lee argues that wealth management's resistance to change has less to do with technology than with incentives and trust. In the United States, advisors are typically paid on a fee-based advisory model tied to client outcomes; across many Asian markets, the business remains largely commission- and product-driven.

"No matter how many trades I do, no matter how many products I sell, if I can't make you money, I don't get paid. That alignment just hasn't translated into many Asian markets the way it has in the West," he says.

That gap is also why Lee cares more about explainability than raw performance, and why he doesn't think AI will replace advisors. He points to a test his team ran for a prospective client: they asked a general-purpose language model and WealthRyse's own engine to analyze the same stock on two consecutive days, with no material news in between.

"The general model said buy on the first day and sell the next, with no real explanation for either. Ours gave the same answer both times, because nothing had changed," he says. "Wealth is decided by human beings in an emotional state, not just a rational one. And if you can't explain why a call was made, no advisor can stand behind it, no matter how good the return was."

That is why WealthRyse is built less like a research tool and more like decision infrastructure. It is designed to notice when conditions change, keep risk central, and give advisors a clear reason for the next move.

Asia's Trillion-Dollar Handoff

The shift Lee is building toward is already underway. Industry estimates suggest that tens of trillions of dollars in liquid assets could move globally by 2030, with a large cohort of Gen Y and Gen Z individuals becoming mass affluent over the same period, while Asia-Pacific's share of global assets under management could continue expanding faster than many other regions.

Hong Kong, where WealthRyse is based, now has a growing registered family office ecosystem managing substantial investable assets, and Lee has watched U.S. pension capital increasingly flow toward the region.

"The center of wealth is shifting toward Hong Kong, given the cross-border volume moving through it," he says. "I don't think institutions can keep ignoring this market, regardless of the geopolitical noise right now."

That transfer also changes who is making the decisions. The private banking relationships built with a family's patriarch or matriarch rarely carry over automatically to the next generation.

"That relationship doesn't exist with the next generation. They have to build their own, and they tend to be more entrepreneurial and more open to something that isn't just what their parents used," he says.

Getting Everybody's Money Back

Asked what success looks like, Lee returns to the same principle that shaped his time on the buy side.

"My most important job is making sure everybody gets value," he says. "That’s everyone who’s trusted us. I know it doesn't sound like the ambitious answer people expect, but it's the one that matters most to me right now."

Beyond that baseline, his ambition for WealthRyse is for it to become standard infrastructure that family offices reach for by default: a company solid and scalable enough that the people who built it alongside him have something to be proud of.

"I've been more gratified by this than by anything financial," he says. "If we look back and say this was a great journey together, that we gave people something back, or gave them more than they expected, that's the part I actually care about."