Voio emerged from stealth this week to build frontier AI for healthcare, starting with a unified platform that helps radiologists work faster without sacrificing accuracy.

Adam Yala, Dr. Maggie Chung, and Trevor Darrell draw on years of experience driving the frontiers of healthcare and AI, with previous models already validated in 90+ hospitals across 30 countries and applied to more than two million mammograms. Their work represents a fundamental shift in healthcare – from reactive diagnosis to predictive medicine – and we are proud to back them. This is the team to show the world how AI research can change healthcare outcomes.

Radiology is the backbone of modern medicine; nearly every patient's care depends on it at some point. Demand for imaging is at an all-time high, while the tools radiologists have available are stuck in another era. This results in longer wait times, more pressure on providers, and missed chances to detect illness early. For years, the field has made do with workarounds and piecemeal tools when what's really needed is new technology that lets radiologists catch disease sooner, solve problems faster, and save lives.

In one of my early conversations with Adam Yala, Voio's co-founder and CEO, he pointed out something that really stuck with me. He said AI keeps making things easier and better for computer scientists and software engineers; the tools improve almost every week. In all his time working with clinicians, though, he was dismayed that the impact from AI was so diminished by out-of-date tools. It is akin to watching electricity transform homes and industries everywhere, while hospitals keep using gas lamps. The technological gap makes no sense when the stakes are this high.

Imagine what happens when AI does for radiologists what it has done for software engineers.

If we give radiologists the right tools, they can drive better patient outcomes across the entire healthcare system. Faster, more accurate diagnoses. Earlier intervention and proactive care. Lives saved.

"Voio is the culmination of nearly a decade pushing the frontier of AI for health," Adam said. "We're building a frontier AI lab and a unified reading platform that supports radiologists across every study and task. Over time, this foundation will enable richer AI systems that collaborate seamlessly across modalities and specialties."

Voio is the first company that can interpret medical images directly, draft full radiology reports, and unify the entire reading experience, from CT to MRI to X-ray, using a single frontier-scale vision-language model. It's an intelligent reporting environment that works alongside the radiologist, connects prior exams and patient history, and adapts to each radiologist's style. It eliminates workflow fragmentation, reduces cognitive load on the radiologist, and improves patient care. It lets radiologists focus on patient care.

Voio's commitment to advancing the frontiers of healthcare isn't just talk. They are building in the open. Last week, they released Pillar-0, an open-source AI model that interprets medical images directly to recognize hundreds of conditions from CT and MRI scans with unprecedented accuracy. Pillar-0 outperforms the leading public models from Google, Microsoft, and Alibaba by 10-17 points across 366 tasks and four modalities. It's better, faster, and more data efficient, and people can start building on it today.

The ability to identify future health risks from current imaging, before symptoms appear, has the potential to fundamentally reshape preventive care, elevating radiology from a tool for documenting what's already wrong to the engine of proactive health management.

For Laude, this is exactly the kind of team we love to support: researchers and scientists like Adam, Maggie, and Trevor, who pair technical ambition with the disciplined, evidence-driven rigor that healthcare demands. In medical AI, bold claims are common, but transparency, open science, and clinical validation are rare. Voio leads with all three.

We're also excited about what the open source Pillar-0 represents for the broader ecosystem. This work will shape how radiologists practice, how patients are cared for, and how predictive medicine becomes real. We're thrilled to be partners in the years ahead.

If you're building to advance the frontier, we'd love to hear from you: hello@laude.vc