greehill builds a city-scale tree intelligence platform combining aerial LiDAR scanning, AI analytics, and inventory management. The tech stack — Python, FastAPI, PostgreSQL, Azure, Kubernetes, ArcGIS — is purpose-built for processing massive geospatial datasets. Active projects span GIS data pipelines, digital twins, and ML workflows, while hiring is concentrated in engineering and infrastructure roles, indicating heavy investment in data processing and platform stability at scale.
greehill delivers an end-to-end smart tree management system for municipal clients. The platform combines street-level LiDAR scanning, AI-driven analytics, and a Smart Tree Inventory to power decision cycles around tree risk reduction, maintenance prioritization, budget optimization, and long-term canopy monitoring. Founded in 2017 and headquartered in Budapest, the company operates with 51–200 employees and is actively hiring across engineering and data teams in Hungary and Germany.
greehill uses Python, FastAPI, PostgreSQL, and Azure cloud infrastructure (with Kubernetes for orchestration). GIS processing relies on ArcGIS, QGIS, and CloudCompare; CI/CD runs on Azure DevOps and GitHub.
greehill provides LiDAR scanning, AI analytics, and digital tree inventories for cities to manage tree risk, plan maintenance, optimize budgets, and monitor urban forest canopy change over time.
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