Agentic WorkflowsAI-Powered

No Blind Automation.
GeoAgent Understands, Clarifies, Then Executes.

Most AI tools jump straight to answers. But in GIS workflows, assumptions lead to wrong outputs, rework, and lost time. GeoAgent works differently — it asks before it acts, builds transparent pipelines, and keeps you in control at every step.

See How It Works
GeoAgent agentic workflow interface
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GeoAgent — Full Workflow Demo
The Problem

Traditional AI tools guess. GeoAgent asks.

Traditional AI Tools
  • Jump to answers without understanding context
  • Make assumptions about your data and intent
  • Produce black-box results you cannot verify
  • Require manual rework when outputs are wrong
  • No way to save or reproduce the analysis
GeoAgent by Geosys AI
  • Asks clarifying questions before execution
  • Lets you pick datasets, metrics, and outputs
  • Builds transparent, step-by-step workflows
  • Every step is editable and customizable
  • Save workflows and reuse across projects
How It Works

From question to complete analysis pipeline

01

You Ask a Question

Start with a plain-language prompt — no code, no scripts, no SQL. Just describe what you need.

"Classify road segments based on how well they are lit at night."
02

GeoAgent Clarifies

Instead of guessing, GeoAgent asks smart follow-up questions to understand your exact intent — which datasets, what metrics, what output format.

Which lighting dataset? What buffer distance around streetlights? How many classification levels?
03

Builds a Transparent Workflow

GeoAgent constructs a step-by-step pipeline — data sourcing, spatial joins, calculations, and classification — all visible and explained.

Load streetlight locations → Buffer 50m → Spatial join with road segments → Calculate illumination score → Classify into 4 tiers
04

You Customize & Edit

Every step is editable. Change thresholds, swap datasets, adjust classification logic, add new processing steps — you are always in control.

Change buffer from 50m to 75m. Add a step to exclude residential roads. Switch to 5-tier classification.
05

Save, Reuse & Share

Save your workflow as a reusable template. Run it on new data, share it with your team, or schedule it for automatic execution.

Saved as "Road Lighting Classification v2" — available for the entire team.
Real-World Example

One question. Complete analysis.

See how a single plain-language question becomes a full geospatial analysis pipeline.

Your Question

“Classify road segments based on how well they are lit at night”

GeoAgent Pipeline
1.
Data Sourcing — Load streetlight locations + road network segments
2.
Spatial Buffering — Buffer streetlights at 50m radius
3.
Spatial Join — Join buffers with road segments
4.
Score Calculation — Calculate illumination score per segment
5.
Classification — Classify into 4 tiers: Well-lit, Moderate, Dim, Unlit
6.
Output — Publish as interactive map layer with legend
Core Principles

Because real-world GIS decisions need control, not assumptions.

Full Transparency

Every step, every calculation, every decision — visible and explained. No hidden logic, no black boxes.

You Stay in Control

GeoAgent proposes, you decide. Edit any step, override any suggestion, customize any output.

Context-Aware Intelligence

GeoAgent understands spatial data types, coordinate systems, and GIS operations — not just text patterns.

Reproducible Pipelines

Every workflow is saved with full provenance. Re-run on new data, audit past analyses, share across teams.

No GIS Expertise Required

Ask questions in plain language. GeoAgent handles the spatial analysis, code generation, and layer publishing.

Multi-Format, Multi-Source

Works across vector, raster, LiDAR, and 3D data. Combine datasets from different sources in a single workflow.

Ready to build GIS workflows that make sense?

See GeoAgent in action. Request a demo and discover how agentic workflows transform your geospatial analysis.

Explore Solutions

Ready to deploy?

Get a demo, pricing, and a pilot plan tailored to your data stack.

Send us a message

hello@geosys.ai