Case Study: a consumer goods company achieves 90% cost savings with Aimleap's semi-automated image data processing

Semi-Automated Image Data Processing & Process Streamlining

A UK-based start-up, a consumer goods company, required a cost-effective method to collect 250 million high-definition images for 2.5 million species to power a new employee management application. They needed this massive amount of data mined from sources like Flickr, Instagram, and Google with a high degree of quality assurance and a streamlined process for their AI solution, posing a significant data collection and automation challenge for Aimleap.

Aimleap built a set of custom web crawlers, including a paid Google API, to automate the image sourcing process with minimal manual intervention. Their team performed semi-automated validation to ensure over 95% quality assurance and established an automated process to feed qualified images into the customer's database. This approach resulted in a 90% cost saving and allowed Aimleap to deliver all 250 million images within a rapid 60-business-day timeframe.