SnowML™, an open-data, machine learning–driven system for estimation of snow water equivalent (SWE) and seasonal water supply forecasting. The SnowML framework integrates satellite remote sensing, ground-based observations, and atmospheric model parameters to produce a spatially continuous, time-evolving SWE dataset. 

SnowQ®, patent pending, is our weather radar-based remote sensing solution for snow water equivalent (SWE). It enables delivery of  continuous data to snowmelt forecasters and water resource managers.

Freshet™ is a cloud-native, physics-based, distributed hydrologic system. It is purpose-built to efficiently capture snowmelt processes and the interplay between surface and subsurface runoff with greater fidelity. Driven by SnowML, Freshet produces daily, 10-day, and monthly forecasts of discharge and cumulative runoff volume, supporting both real-time water operations and longer-term planning.