Climate & earth sciences

Climate.
Earth observation,
federated.

Eldric runs across the climate and earth-science data stack — GBIF, OBIS, NOAA, USGS earthquakes, air quality, ice cores, glaciers. Federated analysis lets multiple institutions collaborate without centralising the raw data.

Talk to us All use cases
Workloads

What people in this sector typically run.

GBIF & OBIS

Biodiversity occurrence records federated through the science worker. Local cache plus live queries.

NOAA & USGS

Weather, solar, earthquakes, volcanoes. Time-series matched against your institutional baseline.

Federated analysis

Each institution keeps its raw data; aggregates flow. Federated learning across the network builds models without moving the data.

xLSTM time-series

Long climate sequences — ideal for the xLSTM linear-memory architecture. Centuries of ice-core data in a single window.

Ice cores & glaciers

Historic-climate proxies federated through the science worker.

Per-institution tenants

Joint projects keep each institution's data isolated. Cross-institution access is per-agreement, kernel-enforced.

Compliance & isolation

What we explicitly support.

Open-data alignment (GBIF, OBIS, NOAA) GDPR (where collaborator data carries it)

Honest scope.

Eldric handles the data plumbing and ML; climate-science conclusions belong to the discipline's peer-review process. The platform is a tool, not an authority.

Next step.

Write to office@eldric.ai. Tell us what you are trying to do; we will tell you whether Eldric is a fit and, if not, what would be.