Bring or discover geospatial data
Upload the data you already use or find relevant public data for the area and question you are working on.
Explore Data →GriidAi is an AI-guided geospatial workspace that helps you bring or discover data, plan spatial analysis, run supported GIS workflows, review the results, and turn them into maps and decision-ready outputs — while keeping experts in control.

One connected workspace.
From the first question to the next decision.
GriidAi is an AI-guided geospatial workspace for turning spatial questions into inspectable analysis workflows and mapped results. It helps users work with geospatial data, generate an execution plan, run supported spatial operations, review validation steps, and export the outputs while keeping human experts involved in the process.
Instead of forcing every question to begin as a new GIS project, GriidAi brings natural-language interaction, spatial processing, data, maps, and results into one connected workspace.
Describe what you need to understand. GriidAi helps organize the data and analysis, proposes how the work should be performed, and keeps you involved before and after execution.
Describe your spatial question and bring or discover the data you need.
GriidAi proposes the analysis steps, inputs, and expected outputs.
Check the plan, make any changes, and approve execution.
GriidAi runs the analysis and returns maps, tables, and data.
Check the results, then export them or continue the analysis.
Upload the data you already use or find relevant public data for the area and question you are working on.
Explore Data →Work across vector, raster, terrain, hydrology, network, proximity, and attribute-based analysis using natural-language instructions and supported GIS tools.
Explore Spatial Analysis →See the proposed inputs, method, validation approach, and expected result before approving an analytical step.
Explore Agentic GeoAI →Inspect layers, attributes and analytical outputs on the map, then export communication-ready maps or analytical data for further use.
Explore Platform →GriidAi identifies the selected building, proposes a 50-meter buffer, shows the implementation plan for review, generates the buffer after approval, and then uses an intersection step to identify nearby buildings.
Create a 50 m buffer around the selected building.
Review the input layer, 50-meter distance, buffer method, validation steps and expected output. Approve the plan before processing.
Inspect the selected building, buffer and intersecting buildings on the map. Validate the outputs before using or exporting them.
GriidAi connects natural-language interaction with geospatial tools so users can move from a question to the supported spatial operations needed to answer it.
Buffer, intersect, overlay, selection, proximity and other geometry-based operations.
Raster calculations, indices, classification-oriented workflows and raster-based analysis.
Elevation, slope, aspect, flow direction, flow accumulation, subbasins and related terrain workflows.
Routing, nearest-location analysis, accessibility and coverage-oriented questions.
Layers, attribute tables, thematic views, raster visualization and exportable map outputs.
Your analysis should not begin with rebuilding the data environment every time. GriidAi lets you work with uploaded geospatial data alongside data discovered for a specific question or area of interest.
Organize vector, raster and tabular layers inside the session, inspect attributes and metadata, and continue the analysis with workspace-aware AI.
Bring it together. Inspect it. Put it to work.
GriidAi does not need to hide the analytical process behind a single answer. Before supported processing steps are executed, users can review the implementation plan and check the selected inputs, analytical method, validation strategy and expected output.
After execution, the expert can inspect the result and decide whether it is ready to use, needs adjustment, or should be repeated with a different approach.
See How Agentic GeoAI Works ↑Check the selected data and area of interest.
Understand the proposed analytical approach.
Review how the result will be checked.
Know what the workflow is expected to produce.
The same geospatial tools become more valuable when they are connected to a real operational question.
Accelerate repeated analysis, site assessment, environmental review and project-based geospatial workflows.
Work with spatial data and repeatable analysis for flood, coastal, climate and physical-risk questions.
Analyze assets, networks, proximity, accessibility and service coverage while keeping expert review in the workflow.
Compare locations, assess surrounding conditions and turn spatial evidence into clearer site and portfolio decisions.
GriidAi is designed to help GIS professionals, consultants, researchers and geospatial teams move faster without removing expert judgment from the process.
The goal is not to make spatial expertise disappear. It is to make that expertise easier to apply, review, repeat and communicate across more questions and projects.
Build tools and workflows.
Use GriidAi in teaching and research.
Build communities, training and awareness.
Bring geospatial solutions to organizations.
Bring your data, describe the analysis you need, review the plan, and put GriidAi to work.