
RAG
Claim Predictor
A spatio-temporal prediction model for mining-related property damage claims, integrating spatial data with complex mining and claims datasets to forecast future incidents and visualize risk areas.
Infrastructure & Utilities
Rail maintenance systems, utility monitoring, construction progress tracking, and urban mobility tools. Infrastructure runs on location data. We build the software that helps operational teams manage assets, predict risks, and coordinate across geographies.
What We Deliver
Map-based tools for tracking, inspecting, and maintaining physical assets across geographies. From railway infrastructure to utility networks.
Systems that combine condition data, inspection schedules, and risk models to prioritize where to intervene next. Reduce reactive maintenance by catching problems earlier.
Dashboards that visualize build progress from drone imagery, sensor data, and field reports. Compare planned timelines against actual completion across every site.
Mobile-responsive tools that connect office planning with field execution. Dispatching, status updates, and location tracking in one interface.
How We Work
Infrastructure software serves operational teams who work under pressure: dispatchers during a flood, maintenance crews on a railway line, project managers tracking a multi-site build. We design for these conditions, not for calm office use.
We integrate with existing enterprise systems. Most infrastructure organizations already run SAP, ERP, or legacy asset databases. We connect to what exists rather than asking you to replace it.
Real-time data is the norm in this vertical. Our applications handle live sensor feeds, GPS tracking, and automated alerts. We build the pipeline and the interface together so data flows from the field to the dashboard without manual steps.
Tools & Technologies
PostGIS, real-time data streams, IoT sensor integration, Mapbox, MapLibre, CesiumJS, React, ArcGIS, Esri, AWS, GCP, Azure, Docker
Selected Projects

RAG
A spatio-temporal prediction model for mining-related property damage claims, integrating spatial data with complex mining and claims datasets to forecast future incidents and visualize risk areas.

ENVU
Uncontrolled vegetation causes damages, delays and safety issues for railways. ENVU’s Smart Weeding System uses weed detection technology to perform precision spraying of herbicides only where weed...

ThyssenKrupp Industrial Solutions AG
An automatic progress tracking solution for large construction sites using drone imagery, combining 3D geospatial datasets and artificial intelligence for smart, autonomous feature recognition and automated reporting.

EIT UM & Graz Linien
A pioneering road safety initiative featuring real-time accident reporting, GPS-based location marking, and advanced data analysis to identify high-risk areas and prevent future accidents for public transit drivers.
Your Project
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