Observations everywhere
Radars, satellites, METAR stations, and even citizen sensors constrain models so coastal and inland microclimates diverge realistically.
ML on top of physics
Neural networks bias-correct systematic errors, predict precipitation type, or downscale wind fields—always validated against held-out seasons.
Product translation
APIs expose probabilistic timelines and lightning proximity; mobile UX turns raw grids into “will it rain during my commute?” answers.
