Understand risk. Protect what matters.

GeoRetina AI is an AI platform for climate risk and conservation decisions. Describe what you need in plain language — flood and wildfire exposure, vegetation and crop health, land-cover change, or conservation opportunities — and it runs the geospatial analysis and returns maps, charts, and explanations. No GIS or coding expertise required.

Common workflows include climate and flood risk mapping, wildfire susceptibility, vegetation and crop-health monitoring, land-cover and land-use change, forest-loss and driver attribution, and conservation and habitat screening — across whole regions or individual parcels and fields.

GeoRetina AI is decision-support: every result is shown on the map with the underlying layers, charts, and a written explanation, so you can inspect the evidence rather than trust a single number. Accuracy depends on the input data and the analysis, and screening or prioritization outputs are meant to focus attention — not to replace field verification or engineering review where that is required.

Globally. You can analyze any region on Earth — from a single parcel or field to entire watersheds and regions — subject to the satellite, climate, and reference data available for that area. You can also bring your own datasets to extend coverage for supported analyses.

Teams making environmental and risk decisions — conservation organizations, government and planning agencies, insurers and risk teams, agricultural and forestry operators, and consultancies — who need spatial evidence without running a GIS stack themselves.

Yes. Send results straight to Esri ArcGIS, Google Drive, or OneDrive, or download them locally as standard geospatial files. You can also build on the GeoRetina API to bring analysis into your own apps and workflows.

Yes. Data is encrypted in transit and at rest, access is controlled with single sign-on and role-based permissions, and we never train our models on your data. For regulated teams, GeoRetina can be self-hosted in your own cloud or region.

Yes — you can start for free, no credit card required. See pricing for plan details, included credits, and options for teams and enterprises.

Credits are computation units consumed each time you run an analysis. Usage scales with the size of the area of interest, the complexity of the workflow, and the depth of the insights — a single-date land-cover map over a small area uses far fewer credits than a multi-year trend analysis across a region. Each plan includes a monthly credit allowance, and you can purchase more when needed.

Sign in to the hosted platform here: GeoRetina AI sign in.

If you are new to GeoRetina AI, start with the basic workflow guide. It walks through selecting a region of interest, running your first prompt, and reviewing results.