Milestone announces NVIDIA-driven platform that trains AI models on video data

Milestone Systems, a global data-driven video technology and analytics provider, has announced Project Hafnia, a project designed to democratise AI model training by providing access to high-quality, accurate, reliable and compliant video data. Milestone Systems owns and manages the platform. 

Leveraging NVIDIA Cosmos Curator and AI model fine-tuning microservices, Project Hafnia aims to address a dearth of accurate and reliable video data to train visual AI models. Data owners and generators will be able to share and utilise their data while developers can access traceable and regulatory-compliant annotated video data.

With Project Hafnia, Milestone Systems will offer two services: a service providing data for AI model training with high-quality video data through training-as-a-service, and a new visual language model (VLM)-as-a-service for smart city transportation and intelligent traffic service use cases.

The VLM’s accuracy and performance optimisations are tuned for running on NVIDIA GPUs and in NVIDIA’s video search and summarisation (VSS) AI blueprint. It relies on a large volume of compliant transportation data that is curated using NVIDIA Cosmos Curator. The model supports a range of use cases, including general traffic assessments, driving condition evaluations, alert validation, and incident reporting.

“By leveraging the NVIDIA platform, Milestone Systems is helping accelerate this next wave of powerful visual services,” said Deepu Talla, NVIDIA VP and GM — Embedded and Edge Computing. 

“The next phase in development and adoption of visually perceptive agentic AI services will be unlocked by recipes like NVIDIA VSS blueprint combined with widely available and accessible finetuned VLM models.”

Milestone Systems is aggregating compliant data through its global network of partners and customers in video data management. These organisations seek to leverage their own data to develop smarter analytics and will be able to benefit from the platform.

“Artificial intelligence is our generation’s biggest game-changer. A major challenge for the ongoing development is having access to enough high-quality data for training AI models. The Project Hafnia platform will collect and curate data with the aspiration to be the world's smartest, fastest and responsible platform for video data and training of AI models,” said Thomas Jensen, CEO of Milestone Systems. 

Project Hafnia is also expected to speed up developing AI and analytics – up to 30x faster than today’s standards. With new high-quality data and improved annotation, future analytic software for applications such as traffic management, manufacturing, airports, law enforcement, and business could achieve accuracy high enough to enable a new level of large-scale, automated operations and surveillance. 

Details

Project Hafnia is initially launching as a pilot that will initially focus on video data from traffic with plans to broaden the scope once fully live. Developers can sign up for early access at https://hafnia.milestonesys.com/joinwaitlist

Hashtag: #GTC2025

Comments

Post a Comment

Popular posts from this blog

Fortinet enhances FortiRecon to align with CTEM framework

Fortinet, the global cybersecurity provider driving the convergence of networking and security, has turned the FortiRecon platform into a comprehensive solution aligned with the continuous threat exposure management (CTEM) framework. The latest release introduces expanded internal attack surface monitoring, adversary-centric dark web intelligence, and security orchestration, all in a unified platform. These enhancements help organisations proactively identify and prioritise real-world exposures, validate risks like an attacker would, and accelerate response. “CISOs and security teams are overwhelmed by growing attack surfaces and an endless stream of unprioritised alerts,” said Nirav Shah, Senior VP of Products and Solutions at Fortinet. “With the latest enhancements to FortiRecon , we’re giving organisations an attacker’s eye view of their internal and external exposures, backed by AI-powered threat intelligence from FortiGuard Labs, real-world validation, and automated response...
Read more

SentinelOne recognised as a 2025 Gartner Peer Insights Customers’ Choice for XDR

SentinelOne, a global provider of AI-powered security, has been named a Customers’ Choice in the 2025 Gartner Peer Insights ‘Voice of the Customer’ for Extended Detection and Response (XDR) report* – one of only two companies with this distinction. A hundred and forty-four users reviewed SentinelOne's Singularity Platform, and 97% said they would recommend the solution to respond to threats across endpoints with AI-powered security, while 97% rated the solution four stars or better.** “With the growing complexity of cyberthreats, organisations need more than siloed security—they need AI-powered, autonomous protection that delivers real-time detection and response across their entire attack surface. Customers have made it clear that SentinelOne’s XDR provides the intelligence, automation, and efficiency they need to stay ahead of threats and secure their environments with confidence,” said Ely Kahn, VP, Product Management, SentinelOne. Gartner defines extended detection and ...
Read more

AWS: AI adoption grows 20% in Singapore

Image
Amazon Web Services (AWS), an Amazon.com company, has found* that AI adoption continues to accelerate in Singapore. In the past year alone, 27,000 1 Singapore businesses adopted AI for the first time—equivalent to over three new adopters every hour. In sum, nearly 170,000 (48%) of businesses in Singapore have adopted AI 2 , up from approximately 143,000 (40%) a year ago. This represents a 20% year-over-year growth rate, AWS said. AI adoption is the strongest in the financial services industry (71%), followed by the technology sector ( software developers, data analytics firms, cloud service providers, and digital startups) at 70%, and healthcare at 63%. Among Singapore’s businesses that have adopted AI, 82% reported an increase in revenue, at an average increase of 19%, while 90% report significant productivity improvements. A large majority (85%) of those who have adopted AI say the technology is likely to increase their growth in the next year, and 89% expect an average of 17%...
Read more