He wasn't looking for a forecast. He was looking for a decision.
That's the gap. Weather data is abundant. Weather intelligence—knowing what to do about the weather—is scarce.
The Problem Operations teams in aviation, marine, construction, and events spend enormous amounts of time translating atmospheric data into actions. A pilot doesn't need to know the dew point. She needs to know if she can take off. A concert promoter doesn't care about millibars. He needs to know if he should move equipment.
The existing solutions fall into two categories: consumer apps that are too simple, and enterprise systems that cost six figures and take months to implement.
There's no middle ground. No tool that says "here's what you should actually do" in plain language.
What We Built LAVANDAR converts meteorological data into operational decisions. Not predictions—decisions. The difference matters.
When you load a location, you don't see temperature and humidity. You see: "PROCEED WITH CAUTION: Fog formation likely between 0400-0600. Recommend delaying ground operations until visibility exceeds 800m."
We built industry-specific modules:
Aviation — Go/no-go recommendations based on crosswind limits, visibility minimums, and runway conditions Marine — Route optimization that factors swell period, not just wave height Construction — Concrete pour windows, crane operation limits, heat stress indices Events — Crowd safety thresholds, lightning protocols, evacuation timing Everything feeds into a unified command center we call STRATA. One screen. Multiple locations. Real-time intelligence.