What You Should Know:
- Voio, a frontier AI lab spun out of UC Berkeley and UCSF, has secured $8.6M in seed funding led by Laude Ventures and The House Fund to launch a unified reading platform
- The company’s open-source model, Pillar-0, demonstrates unprecedented accuracy—outperforming leading models from Google and Microsoft by 10%–17% AUC—to address radiologist burnout and diagnostic delays.
Solving Fragmentation and Burnout in Radiology
Voio’s core mission is to solve the fragmentation that plagues radiology reporting, which currently requires constant context-switching between image viewers, reporting software, EHRs, and multiple AI tools.
Voio’s first focus is building a unified reading platform powered by frontier vision-language models.
Seamless Reporting: The platform interprets complete exams and drafts high-quality reports, allowing radiologists to review and finalize faster without sacrificing accuracy.
Restoring Balance: By designing the reporting experience from the ground up, Voio aims to reduce unsatisfying grunt work and let radiologists focus on patient care.
This unified approach aims to address the critical workforce shortage in radiology, which, with 375 million CT scans performed annually, leads to longer turnaround times and diagnostic delays.
Pillar-0: Unprecedented Accuracy in Medical Image Interpretation
Pillar-0, the initial iteration of the company’s AI, is benchmarked as the world’s most accurate AI model for medical imaging. Key performance highlights include:
Accuracy Lead: Demonstrated a 10% to 17% AUC accuracy improvement over leading models from Google, Microsoft, and Alibaba.
Broad Coverage: Achieved a 0.87 AUC across 350+ findings in chest CT, abdomen CT, brain CT, and breast MRI scans.
Predictive Power: Fine-tuning of P0 led to a 7% improvement over the state-of-the-art in predicting future lung cancer (Sybil-1) during an external validation study at Massachusetts General Hospital.
“Radiologists shouldn’t have to choose between speed and quality,” said Dr. Maggie Chung, Co-Founder and Medical Lead of Voio. “Our goal is to make radiology reporting seamless by drafting full reports and connecting images, history, and prior exams into one intelligent platform that feels natural to use. By re-designing the reporting experience from the ground up, we can reduce unsatisfying grunt work and let radiologists focus on patient care.”
