Case Study: a Fortune Global 500 telecom giant achieves more accurate real-world AI object detection with Toptal

Fortune Global 500 Telecom Giant improves AI object detection with Toptal

A Fortune Global 500 telecom giant faced significant limitations with its AI, as its existing models failed to detect small or rotated objects in real-world conditions and lacked efficient labeling workflows. To regain its competitive edge, the company turned to Toptal for advanced AI and machine learning consulting services to perform a full-scale overhaul of its visual recognition systems.

Toptal developed a custom regression-based object detection model that significantly improved accuracy across variable environments, enabling API-ready deployment. They also engineered an integrated labeling framework that automated the training and deployment of new detectors. This solution from Toptal saved manual effort, accelerated development cycles, and established the client's leadership in next-generation visual recognition services.