Autonomous systems and safety
Autonomous Vehicle (AV) sensors—LiDAR, Radar, and Cameras—are sensitive to atmospheric interference. Heavy rain density, fog particulates, and low sun angles obscured by cloud cover all degrade sensor performance.
Our high-resolution output provides specific atmospheric parameters to predict these "blinding" events. We help developers model safe operational domains (ODD) and fleet operators route vehicles around micro-climates that could trigger disengagement or compromise safety.
Autonomous Vehicle (AV) sensors—LiDAR, Radar, and Cameras—are sensitive to atmospheric interference. Heavy rain density, fog particulates, and low sun angles obscured by cloud cover all degrade sensor performance.
Our high-resolution output provides specific atmospheric parameters to predict these "blinding" events. We help developers model safe operational domains (ODD) and fleet operators route vehicles around micro-climates that could trigger disengagement or compromise safety.
EV range and efficiency modeling
Accurate range prediction relies on more than battery chemistry. It requires precise inputs on aerodynamic drag (headwinds) and rolling resistance (road surface state).
We provide dedicated outputs for road surface conditions, including water film thickness, snow depth, and ice formation. Combined with precise wind vectors along a route, this data allows on-board software to calculate energy consumption with superior accuracy, alleviating range anxiety and optimizing charging stops.
Accurate range prediction relies on more than battery chemistry. It requires precise inputs on aerodynamic drag (headwinds) and rolling resistance (road surface state).
We provide dedicated outputs for road surface conditions, including water film thickness, snow depth, and ice formation. Combined with precise wind vectors along a route, this data allows on-board software to calculate energy consumption with superior accuracy, alleviating range anxiety and optimizing charging stops.
Virtual testing and operations
We support the full automotive lifecycle. During development, our Hindcast data feeds virtual test tracks and wind tunnels, allowing engineers to simulate millions of miles under realistic, historical weather extremes.
For operations, our API delivers 15-minute operational forecasts. Fleet managers can download route-specific weather files to optimize logistics, while OEM backend systems can push critical safety warnings to drivers based on hyper-local threats.
We support the full automotive lifecycle. During development, our Hindcast data feeds virtual test tracks and wind tunnels, allowing engineers to simulate millions of miles under realistic, historical weather extremes.
For operations, our API delivers 15-minute operational forecasts. Fleet managers can download route-specific weather files to optimize logistics, while OEM backend systems can push critical safety warnings to drivers based on hyper-local threats.
