GIS and geotechnical software for municipal property and land management
Geopixel builds geospatial systems and data products for municipal governments across Brazil, with deep technical roots in remote sensing, cadastral mapping, and property valuation. The stack is heavy on classical GIS (ArcGIS, QGIS, PostGIS) paired with modern ML tooling (PyTorch, TensorFlow, OpenCV) — a combination that reflects active work on automated feature extraction from satellite and aerial imagery. Hiring is concentrated in engineering and data roles (17 of 27 open positions), suggesting expansion in processing capacity and model training pipelines rather than sales or product maturation.
Notable leadership hires: Technical Lead
Geopixel operates as a geotechnology vendor for municipal administrations, delivering GIS applications, cadastral systems, and geospatial data services. Founded in 2007 and based in São José dos Campos, the company serves dozens of municipal clients across Brazil with solutions spanning property registration, zoning analysis, tax simulation, and thematic mapping. The project mix reflects two parallel streams: systematic municipal data assembly (database creation, cadastral analysis, property valuation) and emerging automation work (image labeling, vectorization, model training for geospatial features). Current pain points center on contract execution, process efficiency, and the accuracy of property and tax simulation outputs.
Geopixel's stack includes ArcGIS, QGIS, PostGIS, AutoCAD, and PIX4D for image processing, alongside custom development in Java, Python, and Spring for application layers.
Current projects include municipal property registration systems, tax simulation and zoning analysis, property valuation studies, automated map generation, and image labeling for ML model training.
Other companies in the same industry, closest in size