Most medical AI systems fail because of data, not models.

Most systems struggle not because of model design, but because they are trained on data that lacks real-world clinical context.

Evident Labs exists to close that gap. We build clinically validated datasets grounded in how care is actually delivered, ensuring AI systems are trained and evaluated on data physicians recognize as real, reliable, and relevant.

Our work sits at the intersection of clinical practice and machine learning, where data quality determines downstream performance, safety, and trust.