Case Study: Safari AI improves model accuracy and cuts delivery time by 50% with V7 Darwin

Safari AI cuts delivery time by 50% with V7

Safari AI, a computer vision company specializing in automating the measurement of physical operations for enterprises, faced the challenge of ensuring high model accuracy while meeting demanding delivery timelines for its clients. To build accurate vision AI solutions at scale, they needed a robust ML training data platform and turned to V7 and its Darwin platform for a solution.

By partnering with V7 and leveraging its on-demand labeling workforce and model-assisted labeling features, Safari AI significantly improved its operational efficiency. The solution reduced the company's delivery time by 50%, allowed it to handle over 10,000 images per week, and lowered annotation costs, all while achieving higher model accuracy and scaling operations without increasing management overhead.

Safari AI