MovingLayers GmbH

Geodata has a lifecycle. MovingLayers accompanies it from start to finish.

From the first field survey through structured data management to automated analysis and cartographic decision support: MovingLayers provides all services and management for the complete geodata lifecycle — in every process step, end-to-end.

We make geodata speak.

What we do

Infrastructure projects rarely fail due to missing data — they fail because the right data is in the wrong place at the wrong time. As a GIS specialist from Vienna, we help companies and public authorities change exactly that: we connect BIM, GIS and operator knowledge on a shared data foundation — so spatial data is not just managed, but used operationally every day.

We accompany you through the entire geodata cycle:

Field survey → Geodatabase → Integration → Analysis → Decision

Whether you are at the beginning of a digitalisation initiative or want to expand existing GIS structures — we advise you and find the right solution together.

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Reference projects

For TransnetBW, we developed structured QGIS projects as a binding communication medium in complex grid approval procedures. In the Interreg project DIGIWAY, we implemented a cross-border geospatial pipeline for the EUREGIO Tyrol-South Tyrol-Trentino as IT partner — presented at AGIT 2025, to which we returned in 2026 as Silver Sponsor with opening remarks, a workshop impulse talk and our own marketplace booth. For the FFG initiative ABM4EnergyTransition, we developed a web application with interactive maps, dashboards and scenario controls for municipal heat planning. Since 2026, MovingLayers has been responsible for updating and operating waldbrand.at on behalf of BOKU University Vienna — Austria's information platform for wildfire risk and early warning.

Research & consortium partnerships

MovingLayers is active as an entrepreneurial consortium partner in funded research projects, contributing GIS and geospatial AI expertise to interdisciplinary initiatives. What we learn does not stay in the lab: we continuously transfer insights from research projects into our products and services — from new analysis methods in MoversGeoAI to extended data structures in MoversSurvey.

In the FFG project VirtualShepherd (2024–2026), we are developing a satellite-based monitoring system for livestock herds in alpine regions together with partners — based on integrated communication and positioning technology as well as geospatial AI and high performance computing.

In the FFG project RegioWoodTrain (2024–2027), we are working on sustainable regional timber transport chains: simulation and AI technology are intended to help make climate-related damaged timber crises more manageable in the planning, control and monitoring of supply chains. We are building the web demonstrator for this on MoversWebGIS, our further developed version of the open-source geoportal Masterportal.

The completed FFG project ABM4EnergyTransition (2022–2024) exemplifies how this transfer works: the research results became the direct foundation of our web application for municipal heat planning.

Our products

MoversSurvey enables offline field data capture — structured, spatially referenced and directly integrable into the geodatabase. In the first phase of the geodata cycle, capture, MoversSurvey ensures that field data is available from day one in the quality that later analyses and GeoAI evaluations require.

More about MoversSurvey →

MoversWebGIS shows on the map in the office what was captured with MoversSurvey, and is based on the open-source geoportal Masterportal. Since November 2026, the official Masterportal service provider list has included MovingLayers as the first service provider based in Austria. We provide the Masterportal as hosted Masterportal Basis or extended as MoversWebGIS Professional, operated in the EU.

More about Masterportal and MoversWebGIS →

MoversGeoAI complements this as an optional extension with natural-language geodata analysis in QGIS — on-premise, human-in-the-loop and EU AI Act compliant. Domain questions can be translated directly into spatial decisions: reproducible, auditable, with full data sovereignty. Developed for network operators, public authorities, infrastructure planners and civil engineers who work with spatial data — and who are unwilling to accept external dependencies or compromises on data security.

More about MoversGeoAI | Request a demo →

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Whether an initial consultation, a demo or a concrete project — we look forward to hearing from you!

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