New $500M Nonprofit Modernizes Science for AI Era

Scientist Seemay Chou is betting half a billion dollars that the way we do science needs a complete upgrade for the AI era.

Her new venture, called Radial, just launched with at least $500 million in funding to fix the "unglamorous, unsexy infrastructure and tools" that scientists rely on every day. It's housed within the Astera Institute, Chou's AI-focused foundation.

The problem is simple but massive. While AI companies race to design new proteins and optimize clinical trials, the basic systems for generating, sharing, and building on scientific data are stuck in the past.

"If we don't fix those things soon, we'll never see the value of AI fully," Chou told STAT in an exclusive interview. CEO Becky Pferdehirt is leading the charge to modernize these foundational tools that most people never think about.

Here's what makes this different from typical science ventures. Radial will embrace failure as part of the process, and they're committing to radical transparency by making all their results publicly available, whether projects succeed or fail.

That openness could accelerate progress across the entire scientific community. When researchers can learn from each other's dead ends and build on shared infrastructure, breakthroughs happen faster.

The Ripple Effect

The impact of fixing scientific infrastructure goes far beyond any single lab or discovery. When data flows freely and tools work seamlessly together, researchers worldwide can collaborate more effectively on everything from cancer treatments to climate solutions.

Better infrastructure means faster drug development, more reproducible studies, and breakthrough discoveries that might otherwise take years longer. The $500 million investment recognizes that unglamorous plumbing work often matters more than flashy innovations.

This approach also democratizes science. When foundational tools improve and become widely available, smaller labs and researchers in underserved regions gain access to the same capabilities as elite institutions.

The timing couldn't be better. AI is transforming every field, but it can only work with the data and systems we feed it. By modernizing those systems now, Radial is essentially future-proofing scientific research for generations to come.

The nonprofit model matters too. Without pressure to generate profits, Radial can focus on building shared resources that benefit everyone rather than creating proprietary tools that get locked behind paywalls.

Chou and Pferdehirt are tackling the problems that others overlook because they're not glamorous enough. Sometimes the most important work happens in the background, and half a billion dollars says this is one of those times.