Real World Data for AI Development
Protege is the trusted source for AI-ready, real-world data and expertise at every stage of the AI lifecycle.
Data tailored to today’s model-building needs
01
Pre-Training
Massive, diverse real world datasets across industries
02
Post-Training
Narrower datasets for supervised training and human feedback
03
Fine-Tuning
Curated datasets to adapt models to domain-specific use cases
04
Evaluation & Benchmarks
Uncontaminated data to test models in real-world scenarios
AI Model Builders from Startups to Frontier Labs love Protege
“Protege is like an internal partner for us, helping us dig into exactly what data we need for the specific problem we’re trying to solve, rather than simply being a data catalog.”
Mahesh Ranganath
Medical Imaging, Siemens Healthineers
Updates and Announcements
Protege Raises $30 Million Led by a16z to Unlock Access to Data for AI Development
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…Introducing Protege Evaluation Datasets and Benchmarks for Healthcare AI
Robust healthcare AI evaluations require benchmark-specific real world data that does not overlap with training data, while also reflecting the full multimodal patient journey. Current…Protege-Prepared Data Powers New Vals AI Healthcare Benchmarks in Clinical Documentation and Medical Billing
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…Protege Announces $25 Million Series A to Expand AI Training Data Platform
Protege, the platform designed to enable the secure exchange of proprietary data for artificial intelligence training, today announced the close of a $25 million Series…No, We’re Not Running Out of Training Data
Concerns about an imminent shortage of training data for AI have recently gained traction. Influential figures like Elon Musk, Ilya Sutskever, and Marc Andreessen, along…