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 top technical talent to discuss the next bottleneck in AI:
The need for high-quality real-world data, dynamic evaluation, and the infrastructure needed to turn messy workflows into training signal.
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…
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…
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.…
Announcing Clothing Data + Motion Capture for AI DevelopmentProtege and Render Ready are excited to announce our partnership to deliver multimodal clothing datasets that pair…
Summary Healthcare Data for Real World Use Cases: A leading healthcare AI company partnered with Protege to connect its patient-level data to Loopback Health’s EHR…
Summary Millions of Images in 30 Days: A leading AI model builder sourced millions of de-identified imaging studies in a month of contract execution via…