Features
Desktop studies with automated data collection and AI reasoning
Document intelligence for parsing reports and extracting risk indicators
Artifact and citation management for traceable outputs
Easy reporting with structured evidence layers
Maps with layers including ground deformation, water & drainage, geology & subsurface
Data visualizations for site evolution and risk trends
Natural catastrophe risk assessment (flood, wildfire, wind, seismic, extreme rainfall)
Ground deformation monitoring using InSAR
Geotechnical context and subsurface analysis
Site history and change detection via satellite and drone imagery
Piling and foundation risk assessment
Adjacent exposure analysis
AI co-worker for underwriters (e.g., delay from site conditions)
Continuous monitoring for dams, slopes, and large construction projects
SOC 2 Type II compliant, private cloud deployment available
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
