Series X Capital Closes $450M Fund II for Edge AI

The venture capital winter is still freezing out plenty of founders, but some sectors are heating up fast. Series X Capital just proved that investors are still willing to write massive checks if the technology is right. The firm has officially closed its second flagship fund, pulling in $450 million to back the next generation of physical artificial intelligence.

It was a fast raise. The fund was oversubscribed, easily passing its original target of $350 million. That is a notable feat in today’s tough fundraising environment, where many institutional investors have pulled back on tech bets.

The cash is earmarked for early-stage startups building edge AI and autonomous systems. Think smart factories, localized machine learning chips, automated drones, and robotics that do not rely on a constant connection to the cloud.

Moving Intelligence Away From the Cloud

For the last decade, the tech world focused heavily on building massive centralized data centers. Software did all its thinking in the cloud. But Series X Capital is betting that the future of automation requires a different approach.

“We are moving past the era where every smart device has to ping a server thousands of miles away just to make a decision,” said Sarah Jenkins, co-founder and managing partner at Series X Capital. “If a self-driving delivery drone or an automated surgical tool loses its internet connection for even a microsecond, the consequences are disastrous. The intelligence has to live right on the device. That is what edge AI is all about.”

This shift to localized processing solves three major bottlenecks: latency, bandwidth, and privacy. By processing data locally on microchips installed directly in the hardware, machines can react instantly to their environments. It also means companies do not have to pay massive cloud storage bills to move terabytes of raw video and sensor data back and forth.

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Series X Capital Closes $450M Fund II for Edge AI — image 1

Where the Money Will Go

The new fund is much larger than its predecessor. Series X closed its debut fund three years ago with $150 million. With $450 million now at its disposal, the firm plans to lead Seed and Series A rounds, with initial checks ranging from $5 million to $15 million. They also plan to keep plenty of dry powder for follow-on rounds.

According to managing partner Marcus Vance, the firm expects to back between 20 and 25 startups over the next three years. The investment team is looking for companies working on three core pillars:

  • Next-Generation Silicon: Ultra-low-power microchips designed specifically to run machine learning models on small devices.
  • Autonomous Mobility: Software and hardware systems that help drones, underwater robots, and warehouse vehicles navigate complex environments without human intervention.
  • Industrial Robotics: AI-driven machinery that can adapt to changing factory floors in real time, rather than just repeating pre-programmed paths.

Vance noted that the firm has already started deploying capital from the new fund, though they are keeping the details of their first couple of investments under wraps for now.

An Eager Group of Investors

The cash for Fund II came from a diverse mix of limited partners. Returning investors from Fund I made up a large portion of the capital, but Series X also brought in several new institutional heavyweights. These include university endowments, sovereign wealth funds, and corporate venture arms from major manufacturing and aerospace conglomerates.

Why the sudden rush into edge AI? The hardware is finally catching up to the software. For years, the algorithms existed, but the chips required too much power to run on a small battery. Now, a new wave of highly efficient processors is making complex on-device computation practical.

“The market is reaching an inflection point,” Jenkins said. “The companies that build the infrastructure for this localized computing era are going to be the giants of the next decade. Our job is to find them first.”

Shuvo Roy

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