Our Technology
The EDGE Fusion Technology
At the heart of our platform lies proprietary EDGE Fusion technology — combining multiple data sources through our AI-powered prediction engine to create hyper-local predictions down to 25-meter segments of road.
How It Works
Local Climate Foundation
We map every road's unique microclimate based on terrain, vegetation, and historical patterns using detailed grids and isobars.
Real-Time Enhancement
IoT sensors, connected salt spreaders, and optical laser measurements provide continuous ground-truth data.
AI-Powered Prediction
Machine learning algorithms process all inputs to predict conditions up to 48 hours ahead with remarkable precision.
Data Sources
Multi-Source Data Fusion
Our prediction accuracy comes from combining diverse data sources, each contributing unique insights to the overall road condition picture.
Climate & Geography
Local Climate Data
High-resolution terrain analysis including elevation, slope orientation, and geographical features that influence local weather patterns.
Vegetation & Land Use
Forest coverage, urban heat islands, and land use patterns that affect temperature variations and moisture levels.
Topography
Detailed elevation models identifying cold air pools, wind corridors, and areas prone to temperature inversions.
Weather Intelligence
Satellite Weather Data
Real-time meteorological data from weather satellites providing cloud cover, precipitation, and atmospheric conditions.
Weather Forecasts
Integration with national weather services for accurate short and medium-term weather predictions.
IoT Weather Sensors
Real-time measurements from our network of road-side sensors measuring surface temperature, air temperature, and humidity.
Ground Truth
Connected Vehicle Data
Aggregated data from connected vehicles providing real-time road surface conditions and friction measurements.
Traffic Data
Traffic flow and density information that affects road surface temperatures through tire friction and vehicle heat.
Historical Patterns
25+ years of historical winter road data identifying recurring patterns and seasonal trends.
Processing & Analysis
Statistical Models
Advanced statistical analysis correlating weather conditions with road surface states.
Physical Models
Thermodynamic models simulating heat transfer between road surfaces, air, and ground.
AI/ML Processing
Machine learning algorithms that continuously improve predictions based on new data and outcomes.
API Outputs
What You Get
Real-time and forecasted road condition data through our REST API, available for any point on the road network up to 48 hours ahead.
°C
Road Surface Temperature
±0.5°C
Category
Road Condition State
92%
μ (0-1)
Friction Coefficient
±0.1 μ
Minutes
Time to Freeze
±15 min
Category
Precipitation Type
88%
Action
Treatment Recommendations
Optimized
Applications
Who Uses Our Data?
Winter Maintenance
Municipal and private contractors optimize salt usage and route planning.
Automotive OEMs
Vehicle manufacturers enhance ADAS and autonomous driving safety.
Other Services
Map and navigation providers offer weather-aware routing to drivers.