Voio
Category: AI in Healthcare
Voio is a frontier AI lab developing a unified AI-powered reading platform for radiology to streamline workflows and enhance diagnostic accuracy Voio was founded in 2024. The company is led by Adam Yala. Based in Berkeley, California, USA. Team size: 10-15. Total funding raised: $8.6 million. Latest round: Seed. Key investors include ["Laude Ventures","The House Fund"].
- Founded
- 2024
- Headquarters
- Berkeley, California, USA
- Team size
- 10-15
- Total funding
- $8.6 million
Value proposition
Reduces radiologist workload, minimizes diagnostic errors, and improves patient outcomes through AI-driven automation and multi-condition detection
Products and solutions
["Pillar-0: Open-source AI model for interpreting medical images and detecting hundreds of conditions","Unified radiology AI platform for cross-modality scan analysis (CT, MRI, X-ray)","Clinical decision support tools integrated with existing radiology workflows"]
Unique value
Combines cutting-edge AI research with clinical expertise from UC Berkeley/UCSF, leveraging open-source models and academic partnerships; claims 10-17% accuracy improvement over Google, Microsoft, and Alibaba models
Target customer
Radiologists, healthcare providers, and hospitals seeking AI-driven solutions for medical imaging analysis
Industries served
["Healthcare","Radiology","Diagnostic Imaging","Artificial Intelligence in Medicine"]
Technology advantage
Pioneers multi-condition detection in medical imaging using advanced machine learning, with prior successful deployment of cancer risk-prediction models (Mirai/Sybil) in 92+ hospitals; Pillar-0 model shows 7% improvement over previous Sybil-1 model in MGH validation
How they differentiate
Voio differentiates itself through its unified AI-powered radiology platform (Pillar-0), which combines diagnostic accuracy with clinical workflow integration. The team's academic expertise (UC Berkeley/UCSF) and prior deployment of AI models in 92+ hospitals reinforce its credibility. Unlike fragmented solutions, Voio emphasizes end-to-end automation, including report generation
Main competitors
["Rad AI","Aidoc","Lunit"]
Key partnerships
["Laude Ventures and The House Fund (seed investors)","University of California, Berkeley (AI research collaboration)","University of California, San Francisco (clinical validation and deployment)"]
Notable customers
["92+ hospitals across 30 countries using prior AI models (e.g., Mirai and Sybil for mammography)"]
Major milestones
["Exited stealth in November 2025 with $8.6M seed funding","Launched Pillar-0, the 'most accurate' AI model for radiology","Deployed previous AI tools in 2M+ mammograms globally"]
Growth metrics
Not publicly disclosed (pre-revenue stage)
Market positioning
Voio positions itself as a high-accuracy, all-in-one radiology AI solution for hospitals and imaging centers, targeting both diagnostic efficiency and scalability. It competes with niche tools by offering broader integration and clinical validation
Geographic focus
Global, with existing deployments across 30 countries. The U.S. serves as its innovation hub, while expansion targets healthcare systems in Europe, Asia, and emerging markets
Patents and IP
No publicly disclosed patents identified as of December 2025
About Adam Yala
Assistant Professor of Computational Precision Health at UC Berkeley and UCSF; developed AI models deployed in 92+ hospitals across 30 countries; created Mirai and Sybil cancer prediction models used in 2M+ mammograms globally
Official website: https://www.voio.ai