What it sells
Ultra-precise AI weather forecasting.
Business model breakdown
Buyer: who owns the budget?
Government and defense agencies and industries needing site-specific forecasts (US Air Force, Navy, Philippines national government listed).
Trigger: what makes them buy now?
UnverifiedLaunch-site, climate and disaster-risk needs where standard forecasts lack local precision.
Workflow: what inputs become what output?
Ingests satellite, ground station, radar and buoy data into AI models producing forecasts from 24-hour nowcasts to 14-day, down to 1km resolution; also weather-modification partnerships (cloud seeding with Rainmaker).
Economics: what it saves and how it charges
Sells forecasts/forecast systems to governments and industry; claims up to 50% more accurate and up to 40,000x faster than traditional models. No prices stated.
Distribution: how it reaches customers
Direct enterprise/government deployments (Cape Canaveral, Philippines, Tuvalu) and partnerships.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Winter 2020 | — | Y Combinator | ycombinator.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.