Milestone's Project Hafnia Launches AI-Driven Smart City Solutions in Europe, Starting with Genoa

June 13, 2025
Milestone's Project Hafnia Launches AI-Driven Smart City Solutions in Europe, Starting with Genoa
  • Milestone's Project Hafnia has officially expanded to Europe, with its first rollout taking place in Genoa, Italy, focusing on AI-driven solutions for traffic management and smarter cities.

  • This European expansion is supported by Nebius, a cloud provider that ensures compliance with EU regulations, including GDPR and the AI Act, thereby maintaining digital sovereignty.

  • Thomas Jensen, CEO of Milestone, emphasized the platform's commitment to transparency and regulatory oversight, reinforcing its role in promoting responsible AI innovation in Europe.

  • Andrea Sinisi from the City of Genoa highlighted the significance of data-driven approaches in enhancing digital transformation within the Italian Public Administration.

  • The project utilizes high-quality real and synthetic video data to train Vision Language Models (VLMs), which will aid in traffic management and infrastructure planning.

  • Milestone is pioneering the use of NVIDIA's Omniverse Blueprint for Smart City applications and integrates NVIDIA Cosmos to generate synthetic video data for training these models.

  • The initiative aims to enhance urban infrastructure and traffic management using AI and advanced video data, developed in collaboration with NVIDIA.

  • Participating cities will have access to a compliant dataset and fine-tuned VLM under a controlled access license model, promoting ethical standards and data protection.

  • This collaboration reflects a growing trend of cities leveraging AI to optimize traffic flow and improve overall urban living conditions.

  • The project employs NVIDIA technologies, including NeMo Curator on NVIDIA DGX Cloud, to enhance city operations with digital twins and AI agents.

  • While the initial focus is on video data, the framework is designed for scalability across various domains, enhancing data value for future expansion.

  • Ultimately, this project will enable developers to access essential video data to train new Vision AI models, leading to improved urban traffic solutions.

Summary based on 3 sources


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