pentamap GmbH builds apps, web platforms and analysis tools that turn Earth observation and machine learning into something teams can put to practical use.
Expertise
We develop AI-driven systems for analysing spatial data and complex environmental relationships. By combining geoinformatics, machine learning and Earth observation data, we create intelligent decision-making foundations for infrastructure, the environment and mobility.
From mobile apps for iOS and Android to scalable web platforms, we build tailored software solutions for demanding applications. Our focus is on durable architecture, intuitive usability and high-performance geospatial workflows.
We analyse aerial imagery, drone footage and satellite data to automatically capture and assess landscapes and infrastructure. Modern AI-based remote sensing methods deliver precise, up-to-date information even for hard-to-reach regions.
Our solutions support navigation and routing both on roads and across open terrain. We integrate GNSS, remote sensing, sensor data and dynamic environmental information into robust navigation systems for demanding scenarios involving pedestrians, robots and vehicles.
We build interactive mapping platforms and WebGIS applications for analysis, monitoring and decision support. Modern technologies make it possible to visualise complex geospatial data intuitively and in real time.
As a partner in national and international research projects, we develop innovative methods and prototypes at the intersection of AI, geoinformatics and navigation — producing solutions with direct practical relevance and strong technological impact.
Solutions
With Deermapper, pentamap GmbH offers a digital platform for modern hunting management. The solution supports territory administration, wildlife monitoring, harvest recording and collaboration within hunting communities.
EONavi generates dynamic traversability maps based on satellite data, terrain models and environmental information. The solution supports navigation and mission planning away from paved roads — from defence applications to autonomous systems.
As part of the ClimateDiseaseRisk project, pentamap GmbH developed an app for recording tick sightings. The app enables users to collect information such as location, weather conditions, and other metadata associated with tick observations and submit these data to experts for further evaluation.
Foto: Sebastian Martin Dicke / Wikimedia, CC BY-SA 4.0Building on the AnimalProtect research project, WildWarn identifies high-risk zones for wildlife-vehicle collisions based on satellite data, traffic parameters and wildlife movements. The goal is the early detection of dangerous road segments and support for preventive measures.
RoboAlm develops digital traversability and navigation solutions for robotic systems in alpine regions. Combining Earth observation, AI and terrain analysis enables automated processes in hard-to-reach landscapes.
BioDivAI models the effects of landscape change on animal species and habitats. Through Geo-AI and remote sensing, it produces tools that support ecological restoration, infrastructure planning and biodiversity management.
Team
Years of experience in research projects and industrial work let us solve complex problems efficiently, with customer-focused strategies for your requirements.
Our experience in geoinformation and remote sensing covers a wide range of applications — from WebGIS and mobile map apps to processing LIDAR data and analysing satellite imagery.
News
Green@Road aims to develop solutions that automate the recording of hazardous plants along roads. The developed technology should enable road maintenance companies to cost-effectively and repeatedly record these hazards in the future, thereby creating efficient planning for their removal. This not only enables the rapid removal of emerging hazards (e.g., dead trees), but also the preventative avoidance of hazards, such as the timely removal of weakened trees.
Austria is known for its diverse biodiversity and ecosystems. To protect and restore biodiversity, restoration measures are being planned and implemented nationwide.
BioDivAI focuses on the impact of habitat changes in the Austrian cultural landscape (green spaces, forests, and arable land) on selected animal species (e.g., butterflies, pheasants, and hares). The project supports planning of restoration and infrastructure measures, as well as reintroduction of endangered wildlife species, by using AI-based habitat modeling in an easy-to-use planning tool.
pentamap leads the consortium. Its main technological tasks are developing AI methods for modeling wildlife habitats and LULCC impacts, and realizing the Proof-of-Concept (PoC).
More information is available in the factsheet.
The motivation for EONavi-2 is the urgent need of the Austrian Federal Ministry of Defence (BMLV) to improve access to precise and up-to-date information on terrain navigability in global operational areas.
Building on EONavi (TRL-3), where pentamap demonstrated dynamic navigability maps based on ESA Copernicus data (Sentinel-1/2, DEM) and OpenStreetMap data, EONavi-2 extends the approach with additional data sources (e.g., soil moisture and weather) and targets operational use at TRL-6 in the Dynamic Secured Military Network (DGMN).
pentamap is responsible for complete implementation of EONavi-2.
Road maintenance services are legally required to keep road-side areas free of vegetation. In Styria alone, this covers around 5000 km of roads and roughly 5000 ha of mowing area.
SmartMowAI optimizes mowing with three goals: reducing driven kilometers and CO2 emissions, preserving biodiversity by mowing less and later, and keeping wildlife warning devices clear to reduce wildlife accidents.
The project extends AI methods to derive growth heights and generate optimized mowing concepts, with focus on prediction quality and processing speed using Vision Transformer technology.
pentamap’s main task is implementing the Proof-of-Concept (PoC) in three phases: design, implementation, and evaluation.
More information is available in the factsheet.
Alpine meadows are important for farming, forestry, recreation, and tourism, but are increasingly threatened by succession and invasive species.
RoboAlm combines earth observation, navigation, ecology, and robotics to create a prototype workflow for monitoring and removing bush encroachment in alpine meadows. The objective is a holistic automation approach from planning and implementation to evaluation and documentation.
In RoboAlm, pentamap is responsible for semi-automatic generation of digital accessibility maps for global robot navigation.
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