THERMATICS

Core Technology

We simulate the physics of the sky

Numerical Modeling

High-resolution simulation of surface heating and convection applying SOTA algorithms using DEM data.

Machine Learning

Multivariate models that fuse real-time telemetry with terrain data to pinpoint the exact 3D position and core vertical velocity of updrafts.

Physical Validation

Real-time feedback loops from our autonomous glider fleet acting as sensors.

Lifecycle Forecasting

Using temporal predictive modeling to forecast the formation, peak intensity, and dissipation rate of thermal columns.

Terrain Analysis

Ray-tracing algorithms that calculate terrain occlusion and solar incidence angles relative to the sun's position.

Aerial Surveying

LiDAR and photogrammetry integration for high-fidelity topographical mapping.

Micro-Forecasting

Hyper-local weather prediction for ski resorts, wind farms, outdoor activities, among others.

Sensor Fusion

Synthesizing satellite imagery, ground stations, and glider telemetry into one data stream.

Technical FAQ

Understanding the capabilities and limitations of Thermal Intelligence.

What is the resolution of your data?

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Our standard model operates at a 30m resolution globally, with high-definition 10m resolution available for specific project areas using LiDAR inputs.

Can this run onboard a drone?

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How far ahead can you predict?

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