Triton Electric Vehicle has taken the wraps off its hydrogen ICE which it claims will revolutionise the automotive industry. The engine is powered by water and available in configurations of up to 16 cylinders.

The technology is such that it replaces batteries and high-cost components that a typical electric vehicle powertrain and drivetrain architecture would require. Even a fuel-cell architecture would require batteries and other high-cost components such as the fuel-cells, motors etc. 

Capable of significantly reducing dependency on Chinese markets, according to Himanshu Patel, CEO and Founder, Triton Electric Vehicle, the components of the engine will be manufactured in India.  

“Emitting only water vapour instead of carbon dioxide, our engine leverages hydrogen as a clean and abundant fuel source, the hydrogen ICE is engineered for versatility,” Patel informed. “The hydrogen ICE could be adapted for almost all vehicle categories – from compact cars to large commercial trucks,” he added. 

The company is open to collaborate with automotive manufacturers, fleet operators in order to integrate what it claims is a groundbreaking technology into their vehicles.

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Mumbai-headquartered SUV major Mahindra & Mahindra has successfully deployed AI-powered conversational voice agents to manage the massive customer outreach for the launch of its premium SUV, the XUV 7XO.

The initiative, led by the group’s dedicated Mahindra AI division, utilised AI-tech from ElevenLabs to handle high-volume customer interactions during the peak launch period.

The XUV 7XO, which premiered on 5 January 2026, represents Mahindra's most technologically advanced internal combustion engine (ICE) vehicle. To manage the typical surge in inquiries that accompany a major automotive launch, Mahindra AI opted for a scalable digital solution rather than traditional call centre expansion.

The AI voice agents, named nAIna, conducted thousands of concurrent outbound calls, engaging prospective buyers in natural, multi-turn conversations. Powered by ElevenLabs’ Text-to-Speech API, the agents provided human-like, low-latency responses in multiple languages. The campaign is said to have achieved around 8 percent conversion uplift in qualified inquiries, successfully routing high-intent leads directly to dealerships.

Using AI, the system provided ‘always-on’ support, contacting leads and answering queries outside of standard business hours.

Manjari Upadhye, Chief Marketing Officer, Automotive Division, Mahindra & Mahindra, said, “Large-scale launches need new ways to manage customer conversations. During the XUV 7XO launch, our partnership with ElevenLabs helped us successfully deploy AI voice agents to support peak demand and helped route queries to dealerships.”

Karthik Rajaram, GM & Country Head, India, ElevenLabs, added, “Automotive launches compress weeks of customer demand into days. Every call needs to sound as natural and responsive as the first, whether it is the tenth or the ten-thousandth. This partnership with Mahindra showed that AI voice agents can operate at enterprise scale in India - handling thousands of concurrent calls in multiple languages without compromising conversation quality. This sets a new benchmark for how automotive brands can engage buyers at launch.” 

Following the measurable success of the XUV 7XO campaign, Mahindra AI plans to integrate these intelligent voice layers across the entire automotive lifecycle, including service reminders, follow-ups, and long-term customer engagement workflows.

The XUV 7XO is positioned as the premium evolution of the XUV700, priced between INR 1.5 million and INR 2.55 million. It is the first vehicle in India to feature the combined Dolby Vision and Dolby Atmos entertainment experience, alongside a ‘Coast-to-Coast’ triple-screen HD display and Level 2 ADAS safety features.

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MathWorks, a leading software tools company, recently concluded MATLAB EXPO 2026 today, hosting over 1,300 engineers, scientists and industry leaders to discuss the transition of generative AI, engineering copilots and agentic AI from experimental phases to production-scale deployment.

The event focused on the integration of AI-assisted design and simulation into Model-Based Design workflows across industries such as automotive, aerospace and semiconductors. Discussions highlighted the importance of maintaining engineering rigour, traceability and safety while utilising automated workflows.

At the event, MathWorks leaders Seth Deland and Avinash Nehemiah demonstrated how agentic AI capabilities in MATLAB and Simulink are accelerating simulation-led decision-making and system deployment.

Savyasachi Srinivas, VP at Collins Aerospace, detailed the use of AI-enabled knowledge systems and digital twins to move aerospace products from initial concept through to formal certification.

The event saw a panel discussion featuring representatives from Boeing, Mercedes-Benz R&D India, TCS, HSBC and the Indian Institute of Science addressing the critical need for human oversight and verification when validating AI-assisted outputs in real-world systems.

Also, the event saw technology demonstration including Raftar Formula Racing from IIT Madras, displayed their competition-winning race car designed using MathWorks tools.

The highlight at the UAV Pavilion saw drone and eVTOL (electric Vertical Take-Off and Landing) platforms from Speedgoat, Zmotion Autonomous Systems and Reude Technologies.

Sunil Motwani, Country Manager – Sales and Service – MathWorks India, said, “This year’s MATLAB EXPO reflected growing industry interest in applying GenAI, copilots and agentic AI to engineering workflows in ways that improve productivity while preserving validation, traceability and safety.”

The conference underscored a consistent industry shift: engineering teams are moving beyond basic AI experimentation toward certification-ready systems where AI agents accelerate design and verification while keeping engineers central to the decision-making process.

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Hyderabad-based electric vehicle manufacturer Olectra Greentech has announced the adoption of Dassault Systemes’ 3DEXPERIENCE platform.

The collaboration is designed to create a digitally integrated product development ecosystem, aligning Olectra's engineering processes with global OEM standards.

The 3DEXPERIENCE platform provides a unified environment that connects design, simulation and manufacturing. By implementing this system, Olectra aims to move toward virtual twin technology and model-based engineering, allowing it to validate vehicle designs in a virtual space before physical prototyping.

Key Objectives of the Collaboration:

• Digital Integration: Transitioning from component-level engineering to system-level digital orchestration.
• Accelerated Time-to-Market: Reducing innovation cycles through seamless collaboration between engineering and manufacturing teams.
• Virtual Validation: Using simulation to ensure precision and reduce the need for multiple physical prototypes.
• Scalability: Developing new electric bus and truck platforms capable of meeting international benchmarks.

Mahesh Babu, MD, Olectra Greentech, said, At Olectra, we see the future of mobility being shaped by electrification and digital engineering. As part of our commitment to transforming mobility through accessible innovation and a pragmatic future, we are making significant investments in developing new bus and truck platforms. Our collaboration with Dassault Systemes and adoption of the 3DEXPERIENCE platform will play a vital role in building these to global standards and aligning with global benchmarks. This enables us to move faster, design smarter, and deliver with world class precision. As India accelerates its EV transition, we remain focused on leading in both deployment and engineering excellence.”

Deepak NG, Managing Director, India, Dassault Systemes, added, “Our collaboration with Olectra reflects a forward-looking shift toward integrated, platform-driven innovation, enabling faster, smarter, and more sustainable electric vehicle development. Together, we aim to strengthen the transformation of India’s mobility ecosystem through virtual twin experiences.”

The adoption of the platform comes as Indian manufacturers increasingly shift toward platform-based engineering to manage the complexity of next-generation vehicle architectures and drive sustainable growth in the EV sector.

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India has officially commenced its transition to barrier-less tolling with the live deployment of Multi-Lane Free Flow (MLFF) infrastructure at Manoharpur, Rajasthan and Hyderabad, Telangana.

The initiative is powered by Cron AI’s 3D perception platform, senseEDGE, which allows vehicles to pass through tolling points at highway speeds without stopping.

The deployment, a partnership between the National Highways Authority of India (NHAI) and Cron AI, uses LiDAR-based real-time detection to identify and classify vehicles. Unlike traditional toll plazas, the MLFF gantries capture vehicle dimensions and axle counts to determine toll classes while simultaneously using ANPR for number plate recognition and linking to FASTag RFID accounts.

The system currently handles 30,000 to 35,000 vehicles per day at the initial sites. It is designed specifically for Indian road conditions, the platform manages inconsistent lane discipline and ‘occlusion’ (overlapping traffic) with zero false classifications. The LiDAR technology remains accurate during poor visibility, glare, darkness and high-speed traffic.

Tushar Chhabra, Founder & CEO, Cron AI, said, “India is moving from tolling as a checkpoint to tolling as an invisible layer of national infrastructure. That shift requires the road itself to become intelligent. That is what senseEDGE is built to do, and what is now live on some of India’s busiest corridors.”

The move aligns with the Government of India’s mandate to transition over 1,100 toll plazas to MLFF systems. With the National Highway network expanding to 146,204 km as of March 2025 and FASTag penetration reaching 98 percent, the objective is to eliminate idling, reduce fuel consumption, and lower emissions at tolling points.

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