GriidAi brings geospatial data, spatial analysis, AI-guided execution, maps, and human review into one workspace so teams can address location, infrastructure, environmental, climate, and portfolio questions with a clearer path from question to result.
Explore Use Cases ↓GriidAi is designed for spatial questions where a team needs to connect geospatial data, analysis, validation, and mapped outputs. Typical solution areas include site and portfolio analysis, environmental and terrain workflows, flood and coastal-risk screening, hydrology, vegetation analysis, accessibility and coverage questions, and infrastructure-related spatial analysis.
The platform does not replace domain judgment. Users define the intent, review the proposed analysis, approve supported processing steps, and validate the result before it is used in a decision.
Bring repeated spatial tasks, site context, environmental review, terrain analysis, and project-based GIS work into a more guided and reviewable workflow.
Combine environmental and geospatial data with repeatable analysis to screen flood, coastal, exposure, and physical-risk questions while keeping assumptions and validation visible.
Use spatial analysis for assets, networks, accessibility, proximity, and service coverage while keeping technical review inside the workflow.
Compare locations, examine surrounding conditions, and combine spatial evidence into clearer site, asset, and portfolio decisions.
Screen how flood, coastal, or water-level scenarios intersect with the locations and assets that matter to your decision.
Identify areas, assets, or populations that fall outside intended service coverage.
Use elevation and terrain derivatives to examine drainage, flow, and watershed structure.
Use satellite-derived vegetation measures to examine condition and spatial patterns.
Define the decision or spatial problem.
Bring your own data or use approved sources.
GriidAi proposes the supported analysis steps.
Check inputs, methods, assumptions and outputs.
Run supported spatial operations.
Inspect maps, tables, statistics and results.
Export or continue the analysis.
Bring or discover the spatial evidence needed for the question.
02Apply supported vector, raster, terrain, hydrology, network, proximity, and attribute analysis.
03Translate intent into an inspectable plan and keep review checkpoints in the process.
04Inspect the result visually and export maps or analytical data where supported.
05See examples that combine data, tools, validation and outputs.
Spatial results can look convincing even when the wrong data, coordinate system, time window, assumptions, or analytical method is used. GriidAi keeps review points visible instead of treating the AI response as the final decision.
For supported steps, users can review the plan, selected inputs, method, validation approach, and expected output before execution, then inspect the result afterward.
Explore Agentic GeoAI ↗Turn elevation data into drainage and stream-network analysis.
Explore example ↗Examine vegetation condition from satellite imagery.
Explore example ↗Identify service coverage and potential gaps.
Explore example ↗Screen exposure under selected water-level scenarios.
Explore example ↗Explore coastal exposure under storm-surge conditions.
Explore example ↗For organizations with recurring location, asset, climate, or operational analysis, GriidAi can support a structured path from a defined workflow problem toward broader team use.
Explore workspace continuity ↗Start with your own data or an approved workflow, review the proposed analysis, and see how GriidAi can support the next spatial question your team needs to answer.
