Case study

Calm

Scaling personalization engines for active user engagements.

The Challenge

The wellness application needed to personalize content recommendations in real time based on active user habits and moods.

Our Strategy

We designed a light contextual reinforcement learning engine that runs at the edge to serve content recommendations instantly.

The Impact

Daily active user retention grew by 12% and average session durations increased by 18% globally.