Because someone has to prove your cloud seeding worked before the insurance adjuster laughs at you
NimboStrata connects FAA mission logs, METAR weather station feeds, and watershed sensor networks to build auditable causal chains between weather modification events and downstream rain outcomes. It ingests raw atmospheric dispersion data, cross-references it against precipitation telemetry, and produces timestamped evidence packages that hold up under legal scrutiny. The cloud seeding industry has been operating on faith and handshakes for seventy years — that ends now.
- Automated ingestion and normalization of FAA Form 7711-2 mission logs
- Causal chain scoring engine with sub-14-minute latency across 340+ simultaneous sensor feeds
- Native METAR and SPECI feed parsing with anomaly flagging against historical baselines
- Two-way sync with watershed telemetry networks for downstream precipitation correlation
- Exportable audit packages formatted for insurance adjuster review. No ambiguity. No excuses.
FAA DroneZone, NOAA METAR API, WeatherBridge Pro, HydroSense Network, Salesforce, AWS S3, StratusLink, WatershedIQ, PrecipTrack Enterprise, AeroLogix, CloudSeed Ops Platform, DataBridge Federal
NimboStrata is built as a set of loosely coupled microservices sitting behind an event-driven ingestion layer that can sustain north of 50,000 telemetry events per second without breaking a sweat. All causal correlation data lives in MongoDB, which handles the high-frequency transactional writes from concurrent sensor streams exactly as well as I need it to. Session state and live mission windows are pinned in Redis for long-term retention across multi-day seeding operations. The audit export pipeline is a separate stateless service that pulls from both stores, applies the scoring model, and renders the final evidentiary package — it runs independently so a single bad export never touches the ingestion path.
🟢 Production. Actively maintained.
Proprietary. All rights reserved.