Intelligence Behind the Storm
Fusing high-fidelity meteorological data with regional decision logic.
The Mission
"Will school be cancelled tomorrow?"
It's a question of safety, logistics, and anticipation. SnowSense™ was engineered to replace anecdotal guesswork with a high-performance prediction system that models the complex interplay of atmospheric conditions and local infrastructure.
Real-Time Analysis
We ingest live updates from NWS and Open-Meteo every 15 minutes to capture rapid atmospheric shifts.
Dynamic Logic
Our algorithm adjusts probability based on regional infrastructure—6 inches in Maine is a Tuesday; in Texas, it's a shutdown.
Safety First
We prioritize ice risk and wind chill factors, which are often more dangerous for bus routes than pure snowfall.
Probability Engine
We use cumulative distribution modeling to provide a nuanced percentage, not just a binary yes or no.
Our Data Strategy
Open Source, Open Data
We leverage public meteorological datasets to ensure transparency. Our history is rooted in providing accessible intelligence for students, parents, and educators.