Uber, one of India’s leading ridesharing platform has announced a strategic tech integration with Shadowfax, one of the largest two-wheeler logistics fleet and a leading provider of express parcel delivery services and value-added solutions to drive growth of its two wheeler category Uber Moto, across the country.

This industry-first partnership will strengthen Shadowfax's position as the most diversified Third Party Logistics (3PL) provider, with over 200,000 active two-wheelers now powering Uber Moto as well. By integrating Shadowfax’s fleet, Uber aims to expand its supply pool of drivers and service coverage while improving reliability for riders seeking fast and affordable bike-sharing options for their commute.

The partnership will also enable Uber to launch Uber Moto operations in many new towns where it doesn’t yet operate by leveraging the supply pool of drivers working with Shadowfax that operates in over 2,500 cities and 18,000 pincodes across India.

Arnab Kumar, Director, Business Development, Uber India and South Asia said, “The integration with Shadowfax is yet another example of business model innovation that will push the boundaries further and faster to lead bike taxi growth in India. Creating a win-win strategy for all - this partnership with a third-party logistics provider will materially unlock the supply of two wheelers on Uber while creating additional earning opportunities for drivers on the Shadowfax platform. This integration is in line with our ambition to truly become the operating system for multiple form factors and we are incredibly excited about the potential of this partnership for Uber Moto’s growth.”

Praharsh Chandra, Chief Business Officer and Co-Founder, Shadowfax shared, "At Shadowfax, we are committed to driving innovation and adding value for our drivers and delivery partners. Through this unique integration, we are set to become the most diversified 3PL player in India, offering the first app where all forms of earning opportunities are available. Our 'One app, all opportunities' platform will empower our partners to tap into new streams of income, whether through last-mile deliveries or mobility solutions like UberMoto. This collaboration represents a pivotal step in transforming both the urban logistics and mobility ecosystems, further cementing our leadership in last-mile services across the country."

The use of 3P Tech integration is a first for Uber in India - the same technology has been used to integrate with the iconic yellow cabs in New York. Shadowfax has integrated with Uber’s third party (3P) application programming interfaces (APIs) which will result in routing Uber trips to the Shadowfax driver app at the backend, while the booking interface for riders will continue to be that of the Uber app.

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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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Lauritz Knudsen Electrical and Automation has entered into a partnership with Orion Racing India, the Formula Student team of K J Somaiya School of Engineering, Mumbai.

The collaboration is intended to support engineering students at the grassroots level and strengthen the development of electric mobility capabilities within India.

The partnership focuses on hands-on learning and experimentation in the design of electric and autonomous vehicle platforms. Lauritz Knudsen aims to foster skills in power distribution systems and electric vehicle charging infrastructure, areas central to the company’s industrial focus.

Orion Racing India has operated in student motorsport for nearly 20 years, transitioning from internal combustion engines to electric prototypes in 2019. The team uses electric race cars as a platform for students to address challenges in – energy management, power systems, vehicle safety and performance engineering.

Naresh Kumar, COO, Lauritz Knudsen Electrical and Automation, said, “India’s electric mobility journey will be shaped by the ecosystem we build today. At Lauritz Knudsen, we believe meaningful change begins early, when young engineers are encouraged to build, experiment, and apply their learning to challenges. By engaging with students who are actively working on electric vehicle technologies, we are helping develop future ready talent that will play a defining role in India’s mobility and energy future.”

Dr. Ukrande, Director of K J Somaiya School of Engineering, added, “Orion Racing India has a long and proud legacy of representing K J Somaiya School of Engineering at Formula Student competitions over the years. What makes this journey special is the continuity each batch of students builds on the learning, experience, and spirit of those before them. Through hands-on work on electric racecars, our students move beyond textbooks to real engineering challenges. Support from industry partners like Lauritz Knudsen further strengthens this learning ecosystem and motivates students to innovate in areas critical to India’s mobility future.”

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Horse Powertrain has announced kAIros, a company-wide artificial intelligence (AI) initiative led by its Horse Technologies division. The programme aims to reduce time-to-market by nearly 50 percent, decrease low-value process work by 40 percent and improve design cycle efficiency by 25 percent.

The initiative is supported by Nvidia, Google Cloud and Deloitte, focussing on engineering, production and business operations.

At the core of the initiative is the Horse Powertrain AI Factory, which supports model training, simulations and digital twins. The infrastructure is designed to generate training data to refine models and improve real-world deployment.

The technical framework includes:

• Nvidia RTX PRO servers equipped with Blackwell Server Edition GPUs.
• Google Cloud NVIDIA RTX 6000 Blackwell Server Edition GPUs.
• Nvidia AI software, including CUDA-X, Omniverse and Cosmos, to accelerate application development.
• Google Gemini Enterprise for the deployment of AI agents to automate coordination tasks.

The kAIros initiative supports physical AI, connecting real-world operations with virtual systems in real time. This integration enables autonomous decision-making for cobots, automated guided vehicles and smart machinery. Key applications include video-based quality inspection, product simulation and robotics for process optimisation across factories and logistics.

A Centre of Excellence has been established to lead internal AI development. This multifunctional team will build applications to scale industrial expertise across the organisation and improve predictive accuracy in propulsion solutions.

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NXP Semiconductors has announced a series of robotics solutions designed for real-time data processing, sensor fusion and motor control. Developed in collaboration with Nvidia, these ready-to-deploy systems implement the Nvidia Holoscan Sensor Bridge with NXP’s system-on-chip (SoC) technology to reduce component count, power consumption and costs in robotic development.

The solutions focus on Physical AI, which requires low-latency data transport to synchronise motion and sensor data. By integrating the Holoscan Sensor Bridge into NXP's software, developers can establish a direct transport route between a robot's body and its central processing unit.

The architecture incorporates several NXP technologies:

• i.MX 95 Applications Processor: A machine vision solution designed to deliver high-bandwidth data to the robot brain.
• i.MX RT1180 Crossover MCUs: A motor control solution based on a kinematic chain.
• S32J TSN Switch: Aggregates motor control data and provides direct connectivity to the brain using Time-Sensitive Networking (TSN) and EtherCAT protocols.
• Asymmetric Data Transport: Technology acquired through Aviva Links to manage high-throughput data across the robot body.

The unified architecture is designed to support humanoid form factors, which require complex motor synchronisation and real-time perception. NXP’s automotive-grade networking and functional safety expertise are used to ensure the reliability of these systems in physical environments.

Charles Dachs, Executive Vice-President and General Manager, Secure Connected Edge at NXP Semiconductors, said, “Physical AI is redefining what machines can do in the real world, and humanoid robots represent the most complex expression of that revolution. By combining NXP’s deep expertise in edge processing, secure networking, functional safety and real-time control with Nvidia robotics platforms, we are greatly simplifying physical AI development, enabling seamless connectivity between the physical AI edge and the central brain. This is just the beginning of what NXP will deliver to accelerate the ecosystem for physical AI.”

Deepu Talla, Vice-President of Robotics and Edge AI, Nvidia, commented, “The development of autonomous machines requires a high-performance computing architecture that can synchronize complex motor controls with real-time perception. By integrating Nvidia Holoscan Sensor Bridge into its edge portfolio, NXP is providing developers with a scalable foundation to accelerate the deployment of physical AI.”

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