AI transformation and enterprise systems for industrial operations
Datapizza is an AI transformation company building production-grade enterprise AI systems for industrial and regulated environments. The stack spans Python, .NET, Databricks, and cloud platforms (AWS, GCP, Azure), with active hiring across engineering, data, and design roles tilted toward mid-level and lead positions—indicating a scaling operation moving beyond proof-of-concept. Projects cluster around IoT/OT integration, factory automation, and global data platform modernization, with acknowledged pain points in IT/OT network segregation and internal capability building, suggesting clients face complex operational technology environments rather than greenfield AI deployment.
Notable leadership hires: Tech Lead
Datapizza, founded in 2021 and based in Milano, operates as an AI transformation consultancy serving enterprises and institutions across Italy. The company works across three integrated dimensions: designing production-ready enterprise AI systems (called "Duals") architected for complex, regulated workflows; embedding AI adoption into existing business processes through structured team training and organizational change; and maintaining a community of over 500,000 technology professionals to spread AI literacy and capability-building. The project portfolio—spanning IoT platform integration, SCADA/PLC/MES system integration, factory automation, and distributed data governance—reflects deep engagement with industrial operations and legacy technology environments. Current hiring velocity is accelerating, with 16 open roles concentrated in engineering and data functions.
Python, .NET, C#, Databricks, AWS, GCP, Azure, React, PostgreSQL, SQL Server, Docker, TensorFlow, PyTorch, scikit-learn, and BigQuery. Stack reflects both data engineering (Databricks, BigQuery, Dataform) and enterprise application development (.NET, WPF, C#).
IoT/OT integration, automated configuration pipelines, factory automation, SCADA/PLC/MES system integration, HMI software development, global data platform design, and AI/GenAI development projects. Heavy focus on industrial operations and legacy technology modernization.
Other companies in the same industry, closest in size