Case Study: Nearmap scales geospatial AI with CloudFactory's data labeling

Nearmap scales geospatial AI labeling 10x with CloudFactory

Nearmap, a global geospatial technology company, faced the challenge of scaling the data labeling required for its AI-powered aerial image analysis. Their in-house labeling process was diverting data scientists from core development work, and the complexity and volume of their imagery required a specialized, reliable partner. They turned to CloudFactory and its Computer Vision Managed Workforce service to take over this function.

CloudFactory provided a trained, accountable team that worked with Nearmap's proprietary tools, ensuring high-quality and precise data annotation. This partnership scaled from 200 hours to over 300,000 hours of work, increasing monthly delivery tenfold. The results gave Nearmap a pristine, large-scale training dataset, which became a key competitive advantage and directly supported the launch of new AI products like roof-geometry analysis.

Nearmap