Case Study: Berkeley Earth accelerates climate data operations with Whitesmith

Berkeley Earth cuts monthly report time by 87% with Whitesmith

Berkeley Earth, a leading independent climate research organization, faced the challenge of modernizing its complex data architecture to reduce manual work in its monthly temperature updates and create more user-friendly data interfaces. They engaged Whitesmith to compress a development timeline estimated at months into just weeks, all without sacrificing scientific accuracy.

Whitesmith implemented an AI-augmented development solution, using AI to accelerate discovery, data migration, and the creation of an interactive data platform and automated reporting system. This approach, which combined targeted AI use with expert human oversight, resulted in the project being delivered in six weeks instead of an estimated four to six months. The key result was an 87% reduction in monthly report generation time, from eight hours to just one, freeing scientists to focus on research and significantly accelerating Berkeley Earth's public climate updates.

Berkeley Earth