About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Personal Investment Pain Point Sparks Idea for Fast-Growing Wealth Tech Firm Goodfin

Subscribe to our newsletter

Anna Joo Fee had a problem.

The Wall Street lawyer was so busy in her job that managing her wealth adequately was difficult.

Her options were limited, however. Institutions wanted the capital that high earners could offer, but were not best placed to serve the market. And she wasn’t confident in her own knowledge to do the job herself.

So she created Goodfin, an artificial intelligence-led investment platform that sought to straddle the gap.

That was four years ago. Now, Goodfin is so successful that capital markets participants and family offices are taking advantage of its technology and research to access private assets and investment structures themselves.

“The whole mission behind Goodfin is really my personal mission, which is now bigger and broader because we are growing so fast and have customers who are more important than myself in terms of solving their pain points,” Fee tells Data Management Insight. “But really, it started just because I wanted it out in the world.”

Agentic AI Channels Capital to High-Growth Opportunities

Goodfin deploys AI agents to the task of enabling high earners to invest in private markets, in particular high-growth pre-IPO technology, healthcare, defence, space and robotics businesses.

While Goodfin says it is committed to using AI to “hyper-personalise” the investment experience, its Goodfin Go agentic platform is also offered to asset managers, wealth advisers, banks and family offices. The platform uses generative AI to enhance efficiency, curate deal flow and scale access to a previously underserved wellspring of capital, Fee said.

Goodfin is Fee’s second startup. She formed it four years ago out of the Y Combinator venture programme that has fostered household tech names like Airbnb, Reddit, Coinbase and Gusto. The inspiration came from her first company, a trading platform she created after leaving her legal job.

“I had the courage to leave the law firm because I was just itching to start something,” she says. “I decided it wasn’t what I wanted to do for the next 40 years of my life.”

It was while running that business that she realised she could bring the right pieces together to bridge the wealth investment gap she’d encountered. She initially chose to go into private markets because she found the big investment houses didn’t have the expertise to do it.

Now she is reaping the benefit of a surge of interest in alternative assets that is drawing in record amounts of capital from institutions.

Getting the Data Right is Non-Negotiable

Fee characterises Goodfin as a “next-gen private wealth platform”. Its 30-plus AI agents orchestrate the data onboarding and management as well as the investment and sales operations.

Robust guardrails are in place with continuous human checks ensuring accuracy and compliance.

“The answers have to be right,” Fee says. “They have to be reliable, the data that we’re looking at has to be pre-vetted.”

For capital markets participants, Fee says Goodfin provides a conduit to often hard-to-reach private placements, tapping into its curated network of accredited individual investors and sophisticated family offices.

For investment banks and wealth managers advising clients on alternative investments, the platform offers access to a carefully “curated selection for long-term investing”, she says.

Goodfin Go ingests a wide range of datasets, including user-provided insights and private-market data providers like CapLite, to news feeds and investment memos.

Fee says that Goodfin’s rapid trajectory is proof of the need for the concept behind it. The company has reported tenfold growth, year-on-year in its assets under management a ninefold expansion of revenue.

While it is focused on allocating clients capital through accredited investors and private placements via SPVs – it has created more than 90 so far – Fee hints at future expansion that breaks beyond its current business model.

“We definitely want to serve a broader user base through other structures as the platform scales,” she says.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Taming the Private Markets Data Beast: Solving for Valuation, Integration, and Reporting in Alternative Investments

Available On-Demand Institutional activity in private markets has surged as organisations’ traditional investment theses have been upended by global economic volatility, geopolitical instability and fee compression. In their search for better risk-adjusted returns, they have found a rich seam of alpha from private equity and credit, real assets, venture and hedge funds, as well as...

BLOG

Deeploy Q&A: Keeping a Careful Eye on AI Agents and Models

Dutch governance for AI platform Deeploy works within highly regulated industries to ensure their agents and models are running on safe guard rails. Data Management Insight spoke to Maarten Stolk, Co-Founder and Chief Executive at Deeploy, about the company and why governance is so crucial in the AI age. Data Management Insight: When was Deeploy...

EVENT

Digital Assets & Tokenisation Briefing, New York

A-Team Group’s Digital Assets & Tokenisation Briefing assembles an exclusive group of CxOs and senior technology innovators. These leading market practitioners and infrastructure providers are collectively building the digital rails and decentralised networks that will power Wall Street 2.0.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...