Elevator and escalator management with predictive maintenance and IoT analytics
HUNDT CONSULT operates Germany's market-leading lift management business, handling audits, modernization planning, and ongoing administration for building conveyance systems across Europe. The technical stack—Python, SQL, Azure, Docker, Kubernetes, and Azure AI Services—paired with active projects in IoT data pipelines, sensor anomaly detection, and predictive maintenance models signals a shift from traditional facility management toward data-driven operations. Hiring acceleration in sales and data roles indicates scaling both customer acquisition and internal analytics capacity.
HUNDT CONSULT is an independent consulting firm specializing in elevator and escalator management, based in Hamburg and founded in 2003. The company operates across three service lines: lift management (full operational administration of building conveyance systems), modernization planning (coordinating upgrades and renovations), and technical assessments (condition reports and hazard evaluations). As market leader in German lift management, the firm serves property owners, facility managers, and building operators seeking vendor-neutral expertise. With 51–200 employees and accelerating hiring across sales, data, and operations, the company is expanding capacity for field service delivery and building an analytics organization around IoT sensor data from installed equipment.
Microsoft Office, Python, SQL, R, Azure, Docker, Kubernetes, Azure AI Services, RAG, and MCP. Stack emphasis on Python, cloud infrastructure, and AI services reflects data pipeline and predictive modeling work.
IoT data pipelines, predictive maintenance models, sensor anomaly detection, a building management analytics cockpit (via LucaNet), and custom solutions for elevator/conveyor optimization. Projects span machine learning deployment and strategic pricing model development.
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