Features
High-resolution regional weather forecasts
Custom foundation model training on client data
Day-ahead rime-ice detection for power grids
72-hour severe weather early warnings
Asset-level forecasting for utilities
Rapidly refreshing AI-powered forecasts
Generative Forecasting Transformer (GFT) models
Tropical cyclone intensity prediction
Weather impact simulation on infrastructure
AI-based weather model fine-tuning
Aurora foundation model lineage
Proprietary data feed integration
Solar-powered rover with controlled illumination
Per-plant high-resolution imaging across growing season
AI-powered pest, weed, and disease detection per plant
Real-time plant growth monitoring
Automated yield forecasting from imagery and environmental data
Crop phenotyping via computer vision (leaf size, biomass)
Quality inspection for fruits and vegetables
Food waste reduction analytics
Integration of satellite, weather, and soil data layers
Multi-angle image capture with controlled rolling speeds
Machine learning to identify plant-environment interaction patterns
Data collection in muddy fields and bright sunlight
Terabyte-scale image datasets per field
Controlled rolling speeds and sophisticated sensors
