Case Study: Moody Month achieves privacy-preserving, scalable AI insights with Looker

The AI startup transforming the health of 100,000+ women with Cloud Run, BigQuery, and Looker Studio

Moody Month is an AI startup and daily health tracker helping more than 100,000 women better understand their hormonal health. As it grew, the company needed a secure, scalable way to protect sensitive healthcare data while delivering personalized cycle forecasts and wellness insights, and it used Looker Studio as part of its Google Cloud-based analytics stack.

Looker helped Moody Month automate targeted business insights by visualizing data from Cloud Run and BigQuery in near real time, giving the team a clear view of model performance and user behavior. The solution supported rapid growth, enabled the company to serve 100,000 users a month for about £1,000, and helped build a foundation for 10x expansion with more accurate forecasting and continuous model improvement.

Moody Month

Ciara Ferguson

Co-founder and Chief Data Scientist