drivebuddyAI has been granted a patent for its Integrated Dynamic Road Quality Assessment System and Method. The technology autonomously detects and maps road surface deterioration, including potholes and hazardous conditions, by combining sensor data with deep learning-based computer vision.

The system utilises two data streams to evaluate road conditions. A GNSS sensor logs vehicle speed and geo-location, while an Inertial Measurement Unit (IMU) accelerometer captures changes across the X, Y and Z axes.

In real-time it detects anomalies, which are flagged when the Z-axis acceleration indicates a road defect. To prevent false detections, the system processes video data through a deep learning model to visually confirm the defect. Verified data is geo-tagged to create a dynamic road quality map that updates as fresh data is collected from active fleets.

The patented technology aims to provide a road quality intelligence layer for navigation, moving beyond standard metrics of distance and traffic. For fleet operators, poor road surfaces affect Turnaround Time (TAT) by increasing braking frequency, vehicle wear and the risk of cargo damage.

By integrating road quality data into route planning, dispatchers can select paths based on vehicle and cargo safety rather than just the shortest distance. The system is designed to operate without human intervention, building a dataset as vehicles traverse their routes.

This grant expands drivebuddyAI’s portfolio to over 15 patents covering ADAS, DMS, and AI perception systems. These include technologies for driver recognition, drowsiness detection, and risk assessment. The systems are validated under AIS184, EU2144/2019 & 2023, and EURO NCAP 2026 standards.

Nisarg Pandya, Founder & CEO, drivebuddyAI, said, “We are building AI that solves multiple problems at once. Road quality is not a standalone problem; it sits at the intersection of driver safety, cargo protection, and fleet efficiency. This patent is our answer to a gap that the industry has long ignored: knowing not just where you are going, but what the road ahead will do to your vehicle and your cargo and its impact on TAT.”

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Epsilon Cathode Active Materials (Epsilon CAM) has revealed its Gen III LFP Cathode Material, marking a significant non-Chinese advancement in high-energy-density battery chemistry at a commercial scale.

The technology was developed at the company’s Cathode Technology Centre in Moosburg, Germany, an innovation hub supported by a portfolio of over 145 active patents. The breakthrough addresses the global automotive industry's need for high-performance battery materials that offer supply chain diversification and regulatory compliance.

The Gen III LFP material is engineered to provide electric vehicle (EV) manufacturers with claimed performance differentiation through several key metrics:

• Energy Capacity: Achieves a discharge capacity of ≥159 mAh/g.
• Architecture: Features an electrode density of ≥2.51 g/cc, allowing for denser cell architecture.
• Longevity: Delivers 2X cycle life for extended battery pack durability.
• Thermal Stability: Offers proven performance in high-temperature environments.

A primary feature of the Gen III LFP material is its full PFE (Prohibited Foreign Entity) approval. This compliance allows for unrestricted entry into North American battery manufacturing and automotive supply chains, providing a critical advantage as manufacturers seek to meet diversified regulatory mandates.

Vikram Handa, Managing Director, Epsilon Group, said, "This isn't just incremental. With our Gen III LFP Cathode Material, we've engineered a formulation that gives EV makers genuine performance differentiation – more energy per cell, denser electrode architecture and the compliance pathway that matters most for the North American market: full PFE approval."

To support global demand, Epsilon is advancing manufacturing with a planned capacity of 30,000 TPA (tonnes per annum) in India. By combining German research and development with Indian production, the company offers a credible alternative to Chinese dominance in the battery materials sector.

This ‘dual-hub’ strategy allows EV OEMs to mitigate geopolitical exposure and supply chain concentration risks while achieving performance parity with current Chinese alternatives. The Moosburg facility will continue to lead global R&D and product development for successive generations of LFP materials.

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Sterling Tools has entered a technology collaboration with China-based Nanjing Haohang to manufacture Advanced Rider Assistance Systems (ARAS) for the Indian two-wheeler market.

The agreement establishes a framework for Sterling Tools to lead local engineering, manufacturing and sales of ARAS in India. These systems utilise sensors and software to provide real-time alerts, functioning similarly to ADAS in passenger cars but adapted for the specific dynamics of two-wheelers. The partnership aims to address safety gaps in India, where two-wheeler accidents represent a significant portion of road fatalities.

The collaboration has already resulted in the testing and validation of several features on Indian roads. These include Front and Rear Collision Warning, Blind Spot Detection, Lane Change Warning, and Wrong-Side Alert.

Sterling Tools plans to offer these production-ready systems to original equipment manufacturers (OEMs) to support the adoption of intelligent mobility and safety-driven regulations.

Anish Agarwal, Director, Sterling Tools, said, “We are moving toward an era of intelligent mobility. This partnership with Haohang, tailored for the Indian market, equip two-wheeler OEMs with advanced rider assistance technologies that address a critical safety gap. Two-wheeler accidents account for a significant share of road fatalities in India and our collaboration aims to foster a safer environment for the 2W industry and its manufacturers.”

Nanjing Haohang will provide the global technology platform, while Sterling Tools will manage system adaptation for local road conditions. This expansion follows Sterling Tools’ recent investments in EV power electronics and rare-earth-magnet-free motor solutions.

LI Zhipan, General Manager, Nanjing Haohang, added, “India represents one of the most important markets for advanced rider assistance technology, given the scale and safety challenges of its two-wheeler segment. Our collaboration with Sterling Tools allows us to localise our solutions for Indian road conditions and bring validated, life-saving technology to automakers and riders across the country.”

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Pony.ai, a technology company, has announced a significant cost breakthrough in its autonomous vehicle roadmap at Auto China 2026.

The company expects the total cost of its 2027 Gen-7 Robotaxi – including the vehicle and the autonomous driving kit – to fall below RMB 230,000 (USD 33,000 / INR 2.74 million).

This price point is notably lower than the current starting price of a Tesla Model 3 in China, which it said signals a shift from experimental technology to economically viable infrastructure.

The company has transitioned from testing to scaling, citing a 70 percent reduction in bill-of-materials costs for its latest hardware. Key updates include:

• Fleet Expansion: Pony.ai's fleet has grown from 270 to over 1,400 vehicles, with a target of 3,000 units across 20 global cities by end-2026.
• Economic Breakeven: The company has achieved unit-economics breakeven in two major Southern Chinese economic hubs.
• Toyota Collaboration: The Gen-7 bZ4X Robotaxi has received on-road testing permits in Guangzhou, with plans to deploy 1,000 units in tier-one cities this year.

World’s First L4 autonomous light-duty truck

Furthermore, Pony.ai also expanded into urban logistics by unveiling an L4 electric light-duty truck developed in partnership with CATL.

Built on CATL’s Kunshi chassis, the e-truck features 100 percent automotive-grade redundancy across all critical systems (steering, braking and sensors). It is designed to reduce freight costs by 40 percent to 50 percent compared to human-driven transport. It features 18 cubic metres of cargo capacity and a range of 320–450 km, intended for supermarket restocking and cold-chain delivery.

Dr. Tiancheng Lou, CTO, Pony.ai, introduced PonyWorld 2.0, an upgraded proprietary world model. Unlike standard simulation tools, this system uses reinforcement learning to:

It can identify specific scenarios where the ‘Virtual Driver’ underperforms. It’s targeted learning approach guides data collection to improve model training efficiency. The technology enforces ‘fail-operational’ capabilities, ensuring the vehicle can safely pull over even during hardware failures.

Dr. James Peng, Founder and CEO, Pony.ai, said, “Today, the question is no longer whether Robotaxi can work. The focus is how to scale it safely, efficiently and at the right cost.”

With the launch of these new platforms, Pony.ai is leveraging a shared technology stack across both passenger mobility and urban logistics, creating economies of scale that allow for rapid deployment in both Chinese and overseas markets.

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JSW Motors, the new-energy vehicle arm of the JSW Group, and Tata Elxsi have entered a strategic alliance to establish JNEXT – the JSW NextGen Technology Center in Pune. This engineering hub is designed to support the development of software-defined, AI-powered mobility solutions as JSW Motors prepares its upcoming vehicle programmes for the Indian market.

Under the terms of the Memorandum of Understanding (MoU), Tata Elxsi will lead the end-to-end implementation of the Connected Vehicle Platform and a unified customer experience app.

This partnership covers the entire vehicle lifecycle, from conceptualisation and cloud integration to production and aftersales support. The collaboration is a key component of JSW Motors’ strategy to build a localised, technology-led ecosystem for electric and connected vehicles.

The JNEXT Center will leverage Tata Elxsi’s proprietary platforms, such as TETHER Auto, to deliver several advanced capabilities:

• Digital & Data Solutions: User experience (UX) design, cloud platforms, and over-the-air (OTA) update frameworks.
• Intelligent Systems: AI/ML analytics, 5G-enabled technology, digital twins, and cybersecurity.
• Immersive Tech: Location-based services and AR/VR/XR integration to enhance the customer ownership experience.
• Architecture: Software-defined vehicle architectures, predictive maintenance diagnostics and functional safety frameworks aligned with global standards.

Ranjan Nayak, CEO, JSW Motors, said, “Tata Elxsi's proven expertise across software-defined vehicles, ADAS, electrification, and digital engineering will help us accelerate development timelines and raise the bar on quality, safety, and innovation. This partnership is a step forward in our commitment to indigenisation, delivering world-class vehicles for Indian customers.”

Manoj Raghavan, MD & CEO, Tata Elxsi, added, “The future of mobility will be increasingly connected and software-defined, where vehicles continuously evolve through software, data, and intelligent systems. The JNEXT – JSW NextGen Technology Center will be instrumental in translating this into real-world mobility solutions across vehicle programmes.”

The establishment of this hub in Pune positions both companies at the forefront of India's shift toward intelligent, new-energy mobility, combining JSW's industrial manufacturing scale with Tata Elxsi’s software and design engineering expertise.

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