Case Study: Vidigami achieves scalable photo tagging and search with Kairos Face Recognition

Vidigami - Customer Case Study

Vidigami is a photo management platform built for schools and academicians, helping faculty organize and retrieve student photos for yearbooks, marketing, and family access. To do this at scale, Vidigami needed a way to automatically tag and sort millions of contributed photos without relying on slow, manual processes, so they turned to Kairos Face Recognition API.

Using Kairos, Vidigami automated face detection, recognition, and tagging across its platform, making photo search and retrieval much easier for schools and parents. The solution now processes more than 20 million face images each month, giving Vidigami a scalable way to improve discoverability and deliver a faster, simpler user experience.

Vidigami

Mandy Chan

Founder & CEO