Case Study: Simprints achieves scalable, reliable healthcare data access with Google Cloud

Making healthcare count for everyone, with Google Cloud

Simprints is a UK-based nonprofit that helps patients in developing countries access healthcare through fingerprint-based identification, even when they lack formal ID. As its biometric app and cloud backend grew, the company faced spiky traffic, slow sync times, and scaling issues that were straining a small engineering team. Simprints chose Apigee/Google Cloud technology for infrastructure support, looking for a solution that could integrate smoothly with its Android mobile app and handle offline-to-cloud data flows.

Apigee helped Simprints modernize its architecture with managed cloud services such as Firebase Realtime Database, BigQuery, App Engine, Cloud Endpoints, and Cloud Functions, enabling faster syncing, better scalability, and lower operational overhead. The impact was significant: the team grew to handle an average of 18,000 sessions a day, researchers could query nearly a million sessions in seconds, and the organization expanded across 12 countries while keeping costs and maintenance low.

Simprints

Tristram Norman

Co-founder and CTO