Case Study: Quadance halves data extraction effort with Google Cloud Platform

Halves the development effort for data extraction

Quadance needed to map two million yearbook photos to corresponding names for a customer within one month, a large data-extraction challenge that required fast, accurate processing. Using Google Cloud Platform’s Gemini capabilities, Quadance aimed to speed up document understanding and deliver results on time while reducing manual development work.

With Google Cloud Platform, Quadance combined Gemini’s contextual understanding with its models to accurately match names to photos and finish the project within the deadline. The company cut data extraction effort by 50%, handled about 100 requests per minute, and also added a Gemini-integrated chat interface to its document system, improving search responses, productivity, and decision-making.

Quadance

Finny Mathews

Co-founder and Director