French technology company Valeo and NATIX Network have announced a partnership to develop a multi-camera World Foundation Model (WFM). The project combines Valeo’s research in artificial intelligence and generative modelling with NATIX’s decentralised physical infrastructure network (DePIN) to create an open-source platform for autonomous driving and robotics.

The initiative aims to move beyond perception-based models by creating a system capable of predicting future states and reasoning about physical interactions in a four-dimensional environment. The model will be trained using NATIX’s data network, which has collected 600,000 hours of video data across the US, Europe and Asia over seven months. This data provides the multi-camera inputs necessary for the spatial perception required by autonomous vehicles and robots.

The partnership builds upon Valeo’s existing open-source frameworks, VaViM (Video Autoregressive Model) and VaVAM (Video-Action Model). While these frameworks were previously trained primarily on front-camera datasets, the integration of NATIX’s multi-camera network expands the AI’s field of vision to 360 degrees.

Under the open-source framework, the partners will release models, datasets and training tools. This approach is intended to allow the research community to fine-tune models and benchmark physical AI across various driving conditions and geographic regions. The collaboration seeks to accelerate the deployment of end-to-end AI models by learning from real-world edge cases captured by vehicles in operation.

Marc Vrecko, Chief Executive Officer, Valeo’s Brain Division, said, “Since our creation in 2018, Valeo’s AI research center has been at the forefront of AI research in the automotive industry, especially in the fields of assisted and autonomous driving. Our goal has always been to advance mobility intelligence safely and responsibly. By combining Valeo’s generative world modeling research expertise with NATIX’s global multi-camera data, we are accelerating both the quality and the accessibility of next-generation end-to-end AI models, enabling the research community to build upon strong open models.”

Alireza Ghods, CEO and Co-Founder, NATIX, added, “WFMs are a once-in-a-generation opportunity — similar to the rise of LLMs in 2017–2020. The teams that build the first scalable world models will define the foundation of the next AI wave: Physical AIs. With our distributed multi-camera network, NATIX has a clear advantage of being able to move faster than large OEMs.”

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Volvo Cars has earned the highest possible rating for software-defined vehicle (SDV) capabilities from S&P Global Mobility, standing alone among legacy automakers as the only one to achieve a Level 5 designation. This top-tier ranking underscores the company’s capacity to enhance nearly all aspects of a vehicle throughout its lifespan, delivering greater long-term value to customers. Through over-the-air (OTA) updates, Volvo can introduce new safety functions, accelerate charging speeds, extend driving range and refine the overall user experience.

The transition to software-defined vehicles represents a transformative leap for Volvo, empowering its cars on the road to continuously evolve and setting a new benchmark for safety. As part of its most significant technological overhaul in nearly a century, the company now leverages real-world data to generate insights that inform the development of future safety and driver assistance systems.

Central to this capability is HuginCore, Volvo’s internally developed core system. Featuring a sophisticated electrical architecture, a central computing platform, zone controllers and integrated software, HuginCore is the foundation of the company’s three software-centric models: the EX90, ES90 and EX60. This architecture enables scalable enhancements, faster innovation cycles and superior experiences across the entire vehicle lineup.

S&P Global Mobility, a premier provider of automotive intelligence, offers the comprehensive data and expert analysis that informed this evaluation, assisting the industry in making more informed, lower-risk decisions.

Håkan Samuelsson, CEO, Volvo Cars, said, “Years of focused engineering efforts and investments have given Volvo software capabilities that only a select few in the industry have achieved. This has enabled us to deliver a step change in customer experiences and development speed.”

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Marelli has developed an AI-driven System Test Generation (STG) Agent in collaboration with Amazon Web Services (AWS). The tool automates the creation of system test cases from engineering requirements, addressing a traditionally labour-intensive phase of the automotive validation cycle.

The STG Agent was developed alongside the AWS Generative AI Innovation Center and utilises Amazon Nova foundation models, Amazon Bedrock Knowledge Bases and the Strands Agents framework.

The system is designed to integrate with existing requirement management tools and automotive engineering workflows. By automating the analysis of system requirements, the tool identifies expected behaviours and generates structured, traceable test cases to verify that product features align with customer specifications.

As vehicle platforms transition toward software-defined architectures, engineering teams must manage increasing volumes of data and specifications. The STG Agent aims to reduce validation time for new vehicle functionalities, improve consistency in product behaviour across global programmes and accelerate product development for vehicle manufacturers.

Daniele Russo, Head of System Performance Optimisation in Marelli’s Electronics Engineering team, said, “The STG Agent represents an important step forward in how we validate solutions for software-defined vehicles. By combining our engineering expertise with advanced AI capabilities from AWS, we significantly accelerate validation cycles and ensure consistent quality across global programs. This solution enables us to support our customers faster and more efficiently, strengthening the foundation for the next generation of software-defined vehicles.”

Giulia Gasparini, Country Leader of AWS Italia, commented, "Marelli's approach to automating system validation demonstrates the transformative potential of generative AI in automotive engineering. By leveraging Amazon Nova foundation models and Amazon Bedrock, companies are setting new standards for how software-defined vehicles are developed and validated. This solution shows how advanced AI can accelerate innovation while maintaining the rigorous quality and safety requirements that define the automotive industry."

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Nawgati, an Indian fuel-tech company, has been named the title sponsor for the 2026 Annual General Meeting (AGM) of the Petrol Dealers Association Pune (PDAP). The association represents over 900 petroleum dealers within the Pune district.

The AGM is scheduled for 21 March 2026 at the Hotel Westin Koregaon Park, Pune. The event includes an industry exhibition designed to showcase technological solutions and services within the petroleum retail value chain.

Attendees will include senior bureaucrats, officials from oil marketing companies and representatives from dealer associations across Maharashtra. The gathering focuses on the convergence of digital innovation and existing fuel retail infrastructure.

Nawgati is utilising the platform to highlight Aaveg for Dealers, an operating system developed for fuel retailers. The platform integrates several operational functions into a single interface: real-time accounting and inventory management, sales intelligence and automated invoicing, digital contracts and credit control systems.

The company currently operates across India and has established subsidiaries in the UAE and Sri Lanka to scale its connected fuelling ecosystem.

Vaibhav Kaushik, Co-Founder & CEO, Nawgati, said, “The Petrol Dealers Association Pune AGM is bringing together stakeholders who are directly involved in these discussions through this Annual General Meeting, and Nawgati is pleased to support a platform that encourages meaningful exchange within the sector, as such conversations are important in shaping practical solutions that benefit both dealers and consumers.”

Aalaap Nair, Co-Founder, Nawgati, added, “Through Aaveg for Dealers, we are introducing an all-in-one operating system designed specifically for modern fuel retailers. It brings together real-time accounting, inventory management, and sales intelligence into a single, seamless platform. By enabling greater control over credit, customers, and cash flow, supported by smart insights, automated invoicing, and digital contracts, Aaveg is simplifying operations and helping dealers run more efficient, scalable fuel businesses.”

Dhruv Ruparel, President of the Petrol Dealers Association Pune, stated, “The Annual General Meeting serves as an important forum for the dealer community, as it gives us a platform to engage on operational and industry-related developments. Nawgati’s association this year as the “title sponsor” reflects the increasing role of tech-led solutions in fuel retail, which is strengthening these operations. We are looking forward to constructive discussions that support the sector’s continued progress.”

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Japanese technology company TIER IV and Isuzu Motors have announced the deployment of Level 4 autonomous buses using the Nvidia Drive Hyperion computing platform. The technology will be integrated into Isuzu ERGA electric and diesel models, featuring the Nvidia Drive AGX Thor system-on-chip (SoC) to provide safety and performance redundancy.

The autonomous transit vehicles combine TIER IV’s Level 4 software stack, based on the open-source Autoware platform, with Isuzu’s vehicle architecture and Nvidia’s AI compute. The objective is to create high-capacity public transit solutions capable of scalable deployment.

The system is designed to be hardware-agnostic and fail-operational, addressing operational requirements for public services and national challenges such as driver shortages.

Shinpei Kato, Founder and CEO, TIER IV, said, “This collaboration marks a definitive milestone for autonomous transit. By fusing Isuzu’s legendary engineering with NVIDIA’s Thor AI compute, we have built an unmatched foundation for Level 4 transit driven by Autoware. Unveiling this Level 4 autonomous bus deployment at Nvidia GTC 2026 proves that when you combine world-class hardware with the power of the Autoware ecosystem, safe and scalable public transit is no longer a goal – it is a reality.”

Hiroshi Sato, Senior Executive Officer and Vice-President, Engineering Division, Isuzu, commented, “Our partnership with TIER IV and Nvidia represents a significant leap in commercial vehicle intelligence. Deploying Level 4 autonomous driving on both our ERGA EV and diesel models ensures that we provide versatile, sustainable, and highly efficient solutions for any fleet. We are bringing Isuzu’s world-renowned reliability to the autonomous age, ensuring safe and high-performance transit at scale.”

Rishi Dhall, Vice-President of Automotive, NVIDIA, added, “The transition to highly automated commercial transport demands fail-operational, high-performance computing without compromise. TIER IV and Isuzu are frontrunners in the public transit vertical, utilizing Nvidia Drive AGX Thor on the Drive Hyperion platform in the Isuzu ERGA to power TIER IV’s Autoware-based Level 4 software stack. Their scalable solution addresses critical real-world needs, such as Japan’s national driver shortage, while delivering the operational rigor necessary for essential public services.”

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