Funded: Cache raises $12.5M Series A to unlock sophisticated tools for concentrated stockholders

Hi there and welcome to Funded, where we spotlight early-stage bets on the future of tech. This week’s feature zeros in on a fast-growing fintech that’s rethinking how employees with big stock positions can protect and diversify their wealth without taking a tax hit.

San Francisco-based Cache has secured a $12.5 million Series A led by First Round Capital, with participation from solo investors across tech and finance, including former Autodesk CEO Amar Hanspal, Aspiriant founder Tim Kochis, and DoorDash CGO Brian Hale. Founded in 2022 by Srikanth Narayan, Cache builds brokerage tools tailored for individuals whose portfolios are dominated by one or two stocks—often tech or Fortune 500 employees post-IPO. The company’s exchange funds let users swap concentrated stock for a diversified portfolio tracking major indices like the Nasdaq-100 or S&P 500, while deferring capital gains taxes.

“If you’ve worked at a technology company with an IPO in its sights… a significant portion of your net worth is likely to consist of shares in your company. Cache is building a bespoke brokerage to manage large stock positions for these people,” Narayan told Future Nexus. “We focus exclusively on products that help individuals with concentrated stock in their portfolios… Until now. Enter, Cache.”

The model is catching on. In just over a year since launch, Cache has surpassed $625 million in assets on platform, with an average investment above $850,000. More than 400 wealth management firms have signed on, alongside thousands of individual investors—including public company executives, long-term employees, and institutional players. With minimums starting at $100,000 and fees under 1 percent, Cache undercuts legacy providers like Goldman Sachs and Morgan Stanley while speeding up onboarding and expanding fund options.

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This article was drafted with the help of generative AI using company-submitted details, then manually edited and carefully reviewed by a human editor before publication.