On-Premise AI Infrastructure Service available from H2/2026

Spatial Agents

AI-powered geospatial data processing, fully on-premise. Commercial software connecting large language models with QGIS, GRASS GIS and GDAL – controlled through natural language, with complete data sovereignty. Available in two editions, 30-day free trial.

What Are Spatial Agents?

Spatial Agents are a middleware and integration layer connecting large language models (LLMs) with professional GIS tools. The software itself contains no AI – it orchestrates external models via API keys that you provide yourself (BYOK: Bring Your Own Key).

A GIS professional opens QGIS Desktop, types a natural-language request into the chat panel, and the AI assistant orchestrates the work: it calls MCP tools to download OpenStreetMap data, fetch satellite imagery from Planetary Computer, run GRASS GIS terrain analysis, load results into QGIS, and apply styling.

Core Features

  • Natural-language control of QGIS, GRASS GIS and GDAL
  • Autonomous workflow planning and execution
  • Up to 72 MCP tools and 9 skill categories
  • QGIS plugin with chat panel, code preview and voice input
  • Docker-based deployment, one container per seat
  • BYOK principle: Your own API keys or local LLMs

Spatial Agents in Action

70 tests. 37 MCP tools. All passed.

SpatialAgents Enterprise QGIS Plugin: Comprehensive test results – Claude Sonnet 4.6 controls QGIS autonomously, 70 tests passed

QGIS Desktop with SpatialAgents Enterprise Plugin: Full test results after 11 phases – 70 tests, all passed.

Claude Sonnet 4.6 takes full autonomous control of QGIS Desktop – no manual clicks, no hardcoded prompts. In a single uninterrupted session, all 37 tools of the MCP Bridge are systematically tested.

  • 70 tests, 11 phases – Layer management, terrain analysis, Python execution (synchronous/asynchronous/background), GDAL algorithms, vector operations
  • Complete analysis pipeline – Raster sampling → random points → slope/TWI/roughness/landslide risk → Voronoi polygons → graduated symbology
  • No scripting – The agent receives a test plan and decides autonomously which tools to call, in what order, and how to handle the results
  • Stack: QGIS 3.40 · Claude Sonnet 4.6 · SpatialAgents Enterprise · MCP Bridge
Video: Spatial Agents Enterprise – 70 MCP Bridge tests with Claude Sonnet 4.6 in QGIS

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Data Sovereignty & Compliance

EU AI Act & GDPR

  • Middleware without own AI – Spatial Agents orchestrate external AI models and contain no AI themselves; EU AI Act classification depends on the model provider used
  • Full provider freedom – All AI providers supported, including local LLMs via Ollama or vLLM
  • GDPR-compliant – All geospatial data remains fully on-premise on your infrastructure
  • No vendor lock-in – Providers and API keys interchangeable at any time

Security & Operations

  • Air-gap capable – Fully offline with local LLMs (Ollama, vLLM) and pre-loaded geodata
  • Offline licensing – RSA-2048 signed license keys, no phone-home
  • No telemetry – No data transmission to spatialagents.de or third parties
  • Suitable for government agencies and data-sensitive environments – No phone-home, no telemetry, fully operable offline

Target Groups

Municipalities & Agencies

Climate adaptation planning, land use analysis and environmental monitoring with sovereign data processing. Designed for data-sensitive environments – air-gap capable, no telemetry, fully offline operable.

Engineering Firms

Automated terrain analysis, site assessments and environmental impact studies.

Utilities

Network planning, infrastructure analysis and risk assessment for energy and water supply.

Research

Reproducible geospatial analyses for climate, environmental and sustainability research. Academic pricing available.

Benchmark-Validated Quality

The performance of Spatial Agents is continuously and publicly demonstrated through our SpatialAgentBench. The benchmarks run on the Enterprise edition with the full MCP server stack (QGIS, GRASS GIS, OpenStreetMap, Planetary Computer) and establish a practical reference benchmark for agentic work with GIS tools and geodata.

Each evaluated AI model must autonomously solve complex spatial tasks in the Enterprise environment – from satellite image analysis to terrain modeling to risk calculation. The results directly show which models are suitable for productive use in your GIS infrastructure. The benchmark portfolio is continuously expanded with new models and task scenarios.

View current benchmark results

Editions & Pricing

Available from H2/2026 – 30-day free trial

Enterprise

from 3,000 EUR / seat / year

For organisations with high security and compliance requirements.

  • 5 MCP servers, 72+ tools
  • All Professional features
  • GRASS GIS, satellite imagery, OSM downloads
  • Web search (Tavily)
  • 9 skill categories (~2,500 files)
  • 3 agents (Assistant, Analyzer, OSM)
  • Local data repositories (OSM Europe, raster)
  • Email support (24h, critical: 4h)
  • Deployment kit (encrypted SSD 1 TB)
Enquire

30-day free trial – Both editions available for testing with full functionality.
Volume discounts from 2 seats (up to -40%). Special pricing for research and government agencies. All prices exclude VAT.

Feature Comparison

Feature Professional Enterprise
Price from 1,000 EUR/seat/year from 3,000 EUR/seat/year
MCP Servers
QGIS Bridge (37 tools)
OSM Explore (8 tools, metadata)
OSM MCP (9 tools, downloads)
Planetary Computer (6 tools)
GRASS GIS (12 tools)
Tavily web search
Total tools 45 72+
Skills & Agents
Skill categories 4 9
Skill files ~1,900 ~2,500
@qgis-assistant agent
@qgis-analyzer agent (read-only)
@osm-data-acquisition agent
Infrastructure
Web UI + CLI + QGIS plugin
Local LLMs (Ollama, vLLM)
Free AI provider choice (BYOK)
Local data repositories (OSM, raster)
Deployment kit USB 64 GB SSD 1 TB (encrypted)
Support
Email / ticket 48h response time 24h response time
Response time (critical) 24h 4h

Your geospatial data never leaves your network.

30-day free trial

Request a trial licence and test Professional or Enterprise with full functionality.

Get in touch