Massive, diverse real world datasets across industries
Narrower datasets for supervised training and human feedback
Curated datasets to adapt models to domain-specific use cases
Uncontaminated data to test models in real-world scenarios
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…
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…
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, the platform designed to enable the secure exchange of proprietary data for artificial intelligence training, today announced the close of a $25 million Series…
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…
