The Series A extension follows rapid adoption across healthcare, media, audio, motion capture, and more as AI companies increasingly need high quality, non-public data for…
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…
Summary Protege offers multimodal data aggregation and standardization with AI training/evaluation curation aligned to foundation model builders, delivered with enterprise-grade compliance and repeatable, deal-driven programs.…
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 trusted source of data for AI development, today announced a new partnership with the Austrian Ski Federation (ÖSV) to license a high-quality library…
Protege, the AI training data platform, is excited to announce a strategic partnership with Autentic, a leading German producer and distributor, to make premium unscripted…
New evaluations address a critical gap in healthcare AI: trustworthy independent evidence of model performance on real patient cases.
Why we need a better test for healthcare AI — and what we hope better evidence will make possible
An Independent Evaluation of a Disease Risk Prediction Model Across 16 Clinical Tasks
Double-Blind Comparison of a Specialized Biomedical Model and Frontier Models on Breast and Lung Cancer Outcomes
Healthcare is a journey, and the longer it takes, the less pleasant it becomes. Disease Odyssey evaluates pre-diagnostic reasoning on longitudinal clinical records: can AI shorten the journey by reaching the correct diagnosis faster?
Protege, the trusted source for high-quality, real-world training data curated for AI development, today announced a partnership with Grab, Southeast Asia’s everyday superapp, to help…
Watch the replay: Isaac Kohane (NEJM AI, Harvard Medical School) and Protege co-founder Engy Ziedan, moderated by Second Opinion's Christina Farr, on verification, trust, and real-world readiness in medical AI.
Is this model a good doctor, or was it good at the test? This is the big hairy question for AI adoption in healthcare -…
Two peer-reviewed journals, three weeks apart. Opposite answers on whether general or clinical AI performs better. Both contained flawed benchmarks...and there's no referee. This editorial…
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…
The data constraint is the most important problem in scaling AI today. On August 12th, we are convening leading AI researchers, frontier labs, investors and…
SAN FRANCISCO - June 2026 - Protege and VLGE AI today announced a strategic collaboration exploring a new category of AI training infrastructure built around…
Robots have worked alongside humans on factory floors for decades. What this typically looks like: a single mechanical arm, bolted to the floor, repeating the…
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…