Features
Hourly resolution forecasts up to 8× faster than traditional models
Generative ensemble with hundreds of realistic scenarios
Probabilistic outputs for extreme weather events (hurricanes, heatwaves)
Integration with Google Search, Gemini, Pixel Weather, Google Maps
Available via APIs in Google Earth Engine, BigQuery, Vertex AI
Trained on decades of historical weather data
Scalable inference on Google Cloud infrastructure
Low-latency predictions for near-real-time applications
Global coverage with high-resolution grids
Customizable model outputs for temperature, precipitation, wind, etc.
Six-hour forecasts generated four times daily
Cyclone path and intensity predictions up to 15 days ahead (experimental)
Reverse-engineer causal mechanisms of AI models
Reveal internal structure and hidden representations
Detect performative chain-of-thought in LLMs
Identify confounders and debug model behavior
Validate whether models learned real clinical understanding
Trace unstable behaviors to brittle internal features
Reduce hallucinations via features as rewards
Accelerate materials discovery with self-correcting search
Control training precisely with less data and off-target effects
Support for LLMs, life sciences, and robotics/vision models
Harvest activations from trillion-parameter models
SOC 2 Type II certified security and compliance
Analyze latent policy structure in robotics models
Interpret genomic models like Evo 2
Discover novel biomarkers via model reverse-engineering
