SensorFM leverages a foundation model architecture to interpret complex time-series data from wearable devices. The system transforms raw biometric signals into actionable health insights without requiring task-specific training. This approach allows Google to generalize across diverse sensor types. Practitioners can now deploy a single model for multiple health-monitoring applications instead of fragmented pipelines.