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[Case Study] V7 Case Introduction: Safari AI

Safari AI, which provides computer vision solutions, improves model accuracy using V7 and reduces delivery time by 50%.

**Challenges Before Implementation** Safari AI provides computer vision solutions for various industries and automates physical operations. Its main challenge is to deliver high-precision vision AI solutions in a timely manner. To achieve this, the company needed a large-scale data annotation and a robust ML training data platform. **Solution** Safari AI partnered with V7 to accelerate the creation of ground truth and improve the performance of ML models. By utilizing V7's labeling workforce and advanced platform features such as custom workflows and model-assisted labeling, Safari AI significantly reduced annotation costs and halved delivery times. By leveraging V7's on-demand workforce, Safari AI improved operational efficiency at minimal cost. **Benefits After Implementation** - Significant reduction in annotation costs - Delivery time cut in half