Milestone expands Hafnia with synthetic data and training-as-a-service at NVIDIA GTC

COPENHAGEN, Denmark — At NVIDIA GTC in San Jose, Milestone Systems will showcase major advancements to its suite of AI developer tools coming out of Hafnia, introducing Synthetic Data and a forthcoming Training-as-a-Service (TaaS) offering.

NVIDIA Physical AI Data Factory Blueprint is the reference architecture that unifies data curation, augmentation, evaluation, and agentic orchestration at scale. Powered by NVIDIA Cosmos open world foundation models and NVIDIA OSMO, it transforms raw real-world and synthetic data into high-fidelity, physics-aware, model-ready training datasets.

“Together with NVIDIA, we are taking Hafnia to the next level by combining trusted real-world data with synthetic augmentation,” said Edward Mauser, Director of Hafnia at Milestone Systems. “This enables developers to train AI models that are not only accurate in known situations, but also resilient in the unexpected.”

AI systems typically learn from past events. But real-world environments, like cities, are unpredictable. Rare weather conditions, unusual traffic patterns, or region-specific vehicle types are often underrepresented in traditional datasets. Hafnia addresses this gap by integrating synthetic data into its curated, real-world video library. Synthetic augmentation through NVIDIA Cosmos Transfer allows developers to have access to data including rare or dangerous situations, balanced underrepresented object classes, model regional and environmental variations, and systematically reduced datasets biases.

Training-as-a-Service for the Computer Vision Community

Milestone will preview its upcoming Training-as-a-Service at GTC. TaaS gives developers streamlined access to the compliant, high-quality video data within Hafnia’s library, and with it be able to customize datasets and fine-tune models for specific use cases. Because the data within Hafnia’s library is compliantly sourced and fully traceable, developers can train models with the confidence their model training is compliant with relevant regulations.

By removing the complexity of sourcing and managing training data, Hafnia allows developers to focus on building high-performing analytics solutions up to 30 times faster.

VLM-as-a-Service Powered by NVIDIA

In partnership with NVIDIA, Milestones Hafnia also offers VLM-as-a-Service: a suite of Visual Language Models built on NVIDIA Cosmos Reason models and optimized for Smart City environments.

At GTC, Milestone is announcing the availability of a new EU-optimized VLM for traffic, already running with selected EU cities as customers. Additional models are coming soon, expanding the suite of VLMs offered through the VLM-as-a-Service platform to cover more smart city scenarios.

Performance evaluations show significant improvements over base models, including:

• +19.4% improvement in flow and direction correctness
• +8.9% improvement in visual feature detection
• +4.4% improvement in alert verification accuracy

For teams looking to accelerate the final stages of the lifecycle by 70 times, Hafnia’s VLM-as-a-Service provides optimized, ready-to-deploy Visual Language Models tailored for Smart City applications.

End-to-End Cloud Infrastructure

To support the complete vision model lifecycle, Hafnia is built on a flexible, multi-cloud strategy that leverages AWS, Nebius, and other providers. By uniting foundational cloud reliability with specialized AI computing, Hafnia ensures that every stage of development has the exact power it needs.

The Milestone Synthetic Data Generation pipeline using Cosmos Transfer and Cosmos Evaluator powered by Cosmos Reason is being launched on Nebius at GTC.

Importantly, this multi-cloud approach supports data sovereignty requirements, ensuring customers maintain full control over where their sensitive information is stored and processed.