Is this model a good doctor, or was it good at the test?
This is the big hairy question for AI adoption in healthcare – and it’s a bigger challenge with healthcare than most domains.
So how are we going to solve it?
The Protege DataLab team took a closer look at the data to tell the story for Andreessen Horowitz’s newsletter here: The Oracle Problem: an invisible bottleneck to AI and medicine
Partnership makes a large multilingual video dataset available through Protege for AI training and evaluation, reflecting growing demand for licensed and transparent data sources. JULY…
The Partnership combines world-leading reality-grade and physically accurate 3D Digital Twin infrastructure with Protege’s real-world data platform for AI model development. [embed]https://youtu.be/2aJ6RZV2wDM[/embed] SAN FRANCISCO, CA…
SAN FRANCISCO - June 2026 - Protege and VLGE AI today announced a strategic collaboration exploring a new category of AI training infrastructure built around…
Two of the biggest drivers are clinical documentation (turning an encounter into a usable clinical note) and medical coding (translating care into billable codes that…
This partnership introduces one of the most scalable and lab-centric datasets on the market, enabling AI developers to access rich, de-identified laboratory data across the…
Protege, the platform for proprietary AI training data, today announced a new partnership with Sunain, a multimodal data company that collects audio, video, gameplay, and…