Case Study: Viz.ai accelerates medical diagnosis and team collaboration with Encord

Viz.ai reduces labeling time and improves precision with Cord

Viz.ai, a health tech company, uses artificial intelligence to accelerate the detection of critical diseases like strokes. Their challenge was that their in-house data annotation platform was time-consuming and lacked the features needed for effective team collaboration and automated labeling. To address this, they turned to Encord and its medical training data platform.

Encord provided a solution with its user-friendly annotation platform, which featured automated tools like interpolation to speed up labeling. This resulted in less manual work, higher-quality data, and more streamlined collaboration and project management for Viz.ai's teams. The vendor, Encord, enabled Viz.ai to expedite its processes and take on more projects as it continues to expand into new medical conditions.

Viz.ai