Meteoric provides highly reliable weather forecasting and climate data tailored for engineering and infrastructure projects, helping organizations build resilience against weather‑related risks. By combining real‑time observations with advanced modeling, the platform delivers precise, location‑specific forecasts that can be integrated into design and operational workflows to mitigate climate impacts.
Funding
Funding not disclosed
Founders
Product
Problem
Utilities, agricultural producers, and emergency managers often lack timely, high‑resolution weather data needed to anticipate and mitigate weather‑related risks, limiting the effectiveness of climate‑resilience strategies.
Solution
Meteoric delivers engineering solutions that combine advanced atmospheric modeling with real‑time sensor networks to provide reliable, high‑resolution weather observations. By deploying instrumented aircraft, the platform captures detailed atmospheric data during each flight, which is then processed through predictive analytics to generate actionable forecasts. These forecasts are delivered to end users via an API and dashboard, enabling proactive decision‑making for grid operations, crop management, and emergency response. The service aims to improve risk assessment and operational planning across sectors vulnerable to weather extremes.
Target Audience
Primary customers are utility companies, large‑scale agricultural enterprises, and emergency management agencies seeking precise weather intelligence to support climate‑resilience operations.
Features
- Instrumented aircraft flights that collect high‑resolution atmospheric measurements in situ
- Integration of real‑time sensor data with physics‑based atmospheric models for enhanced forecast accuracy
- Predictive analytics engine that transforms raw observations into actionable weather insights
- API and web dashboard for seamless delivery of forecasts to utility, agriculture, and emergency management systems
- Scalable sensor network architecture that supports continuous data updates across diverse geographic regions