drivebuddyAI, the Ahmedabad-based developer of AI-powered Advanced Driver Assistance Systems (ADAS), debuted its mobility platform at CES 2026. The system provides data-driven solutions for commercial fleets, vehicle manufacturers, insurance providers and urban planners.

The platform is claimed to have been underpinned by 3.5 billion kilometres of driving data from India and Europe. According to the company, existing fleet deployments have resulted in an 83 percent reduction in drowsiness and a 72 percent reduction in fleet risk. Insurance companies are currently utilising the platform’s Fleet Safety Index to develop usage-based insurance (UBI) products and video-enabled First Notice of Loss (FNOL) systems to manage loss and claim ratios.

The platform operates by collecting data from High Dynamic Range (HDR) cameras and the vehicle's Controller Area Network (CAN). This information is processed on the vehicle using a real-time QNX or Linux edge system. The software includes patented models for driver monitoring, collision warnings, and blind-spot detection.

The system utilises a federated learning architecture, which enables real-time AI learning and data protection. Updates are delivered back to vehicles via over-the-air (OTA) technology, while insights are shared with partners through cloud APIs. The technology meets the AIS-184 standard in India and is certified under the European Union’s General Safety Regulation (GSR) 2144 and the EURO NCAP 2026 protocol.

Beyond safety, drivebuddyAI intends to apply its technology to Smart Cities and mapping. Features include road condition monitoring, traffic behaviour analytics, and the identification of accident black-spots to assist in infrastructure planning. For vehicle manufacturers, the pre-certified AI is intended to reduce the time and cost required for validation.

Nisarg Pandya, CEO and Founder, drivebuddyAI, said, “The response we received at CES has been tremendous. Attendees visiting our booth were fascinated by our innovation. Our platform has already demonstrated a reduction of over 70 percent in accidents across large commercial fleet deployments. Underlying technology is validated by leading global regulators, including the Automotive Research Association of India under India’s AIS-184 standard and certified in the European Union’s General Safety Regulation (GSR) 2144 and European New Car Assessment Programme (EURO NCAP) 2026 protocol. The platform is also ready to meet the requirements of the National Highway Traffic Safety Administration and the Federal Motor Carrier Safety Administration (USA), and other global markets. We look forward to taking this technology to more markets.”

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The Applied AI Research Centre (INAI) at IIIT-Hyderabad has developed an artificial intelligence traffic violation detection system named VIOLA. The project uses dashcams installed in police patrol vehicles to detect traffic infractions and integrate with the Telangana Police e-Challan workflow.

Govind Krishnan, who leads translational AI initiatives for mobility at INAI, said that the question is not why accidents happen. “We already know the answers. The real question is: How can we help solve this problem? Or more importantly, how can artificial intelligence help solve this?”

The system builds upon prior research from Prof. Ravi Kiran S at the Centre for Visual Information Technology (CVIT) regarding helmet detection. By mounting cameras on police vehicles, the setup monitors infractions such as helmet violations, triple riding and wrong-side driving across routes.

Prithvi Jonnada, Operations Manager at INAI, explained, “We let the cameras record their daily rounds, fed the footage into an AI system capable of detecting traffic violations, recognising licence plates and automatically forwarded verified cases to Telangana Police’s e-Challan system. This is a mandate from the police department to have a human in the loop thus ensuring the AI acts as an assistant, not a replacement, for human judgment.”

With four dashcams deployed, the system reports an accuracy rate for submissions. The INAI team is expanding the algorithm to include speed detection and road condition monitoring.

Dr. Ganesh Yalla, CEO, iHub-Data, added, “People don’t expect an academic institution to build a complete industrial-grade product that is deployed and generating real impact. We want to change that.”

Discussions are underway with police departments outside Telangana for broader implementation.

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Cars24, a leading online vehicle selling and buying marketplace, has reported that it has processed 1.1 trillion AI (artificial intelligence) tokens during Q1 of FY2026, marking a shift in its business model.

The company stated that AI expenditure now represents 8.88 percent of the company's salary run-rate, with 95 percent of its employees use AI weekly and 89 percent of production code is AI-assisted, contributing to a reported 3x increase in engineer productivity.

Furthermore, for customer operations, AI platforms analysed 9.81 million conversations. Voicebots handled 2.58 million minutes and chatbots processed 550,000 requests.

In terms of inspections, 80 percent of vehicle inspections – totalling 288,000 – were conducted via AI-led systems, reducing the average inspection time from 45 minutes to 26 minutes.

AI-led loan disbursals accounted for 65 percent of the total, amounting to 4,158 disbursals. The company’s Document AI processed 850,000 documents, while its Agentic AI platform executed 5.71 million workflows.

At present, Cars24 operates six in-house platforms supporting 25 use cases, including computer vision, lending and workflow automation. Its imaging platform processes 50,000 vehicle images per month.

Vikram Chopra, Founder & CEO, Cars24, said: "AI is no longer improving isolated workflows, it is becoming the operating system of Cars24. Processing over one trillion AI tokens in a single quarter reflects the scale at which intelligence now powers every part of our business. From customer conversations and vehicle inspections to engineering and operations, we are building one AI that understands context, learns continuously and simplifies every stage of vehicle ownership."

Looking forward, Cars24 plans to develop a unified AI layer that integrates buying, selling, financing and ownership services by utilising its data from the past 11 years.

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Tata Elxsi, a leading design and technology solutions company, has announced its financial results for Q1 FY2027, reporting operating revenue of INR 10.21 billion, up 2.8 percent over the previous quarter and 14.5 percent YoY.

For Q1 FY2027, the company’s EBITDA came at INR 2.16 billion with a margin of 21.2 percent and a profit after tax (PAT) of INR 1.7 billion, up 18.2 percent YoY.

The company’s revenue from the transportation segment grew 13.3 percent YoY, supported by engagements in off-road and aerospace segments. Automotive OEM revenue now accounts for 78 percent of the division's total revenue. The media & communications segment revenue grew 22.2 percent YoY, while healthcare and life sciences clocked 1.7 percent growth QoQ.

Manoj Raghavan, CEO and Managing Director, Tata Elxsi, said, “For the quarter, Tata Elxsi delivered a healthy performance with growth in our two primary verticals, supported by strong deal execution and continued momentum in large strategic engagements. We also crossed a key milestone of reporting operating revenue of more than Rs. 1,000 crores in the current quarter. The performance in the quarter reflects the strength and increasing relevance of our design-led and AI-enabled engineering capabilities in our chosen industries.”

“FY2027 marks a year of future focus for the company, as we prepare and equip ourselves for a world reshaped by AI. We are making targeted investments in specialized talent, AI powered platforms, tools and infrastructure, to pivot to a Domain + AI future. These investments are enhancing customer value creation with tangible outcomes and opening new avenues for growth and positioning us for the year and decade ahead,” he concluded.

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Chinese automotive major BYD Group showcased eight model debuts at the 2026 Goodwood Festival of Speed, where it occupied a 2,016 square metre stand. The display featured vehicles from the BYD, DENZA and YANGWANG brands, with several models participating in the hillclimb event.

At the event, BYD introduced the DOLPHIN G DM-i, a supermini featuring Dual Mode Super Hybrid technology that pairs an electric motor with a 1.5-litre petrol engine. The manufacturer also presented the SHARK pickup, which produces 436PS and accelerates from 0-62mph (0-100 kmph) in 5.7 seconds.

DENZA unveiled the Z sports car, a coupe with 1604PS and a top speed of 217mph (350 kmph), which was presented by Stella Li and 2009 Formula 1 World Champion Jenson Button. The brand also displayed the BAO 5 SUV, which incorporates DMO (Dual Mode Off-road) technology. Additionally, DENZA demonstrated charging speeds of up to 1,500kW, allowing vehicles to charge from 10-70 percent in five minutes.

YANGWANG exhibited the U9 Xtreme, a production car with a top speed of 308.3mph (496 kmph) and a 1200V powertrain. The brand also displayed the U8L SUV and the U7 saloon.

Stella Li, Executive Vice President, BYD, said, "It's been an exciting privilege to play such a central role at this year's Goodwood Festival of Speed. Our stand has been the focal point for thousands of visitors, who've been able to explore a host of new models – our incredible DENZA Z and DENZA BAO 5, as well as the BYD SHARK and, for the first time in the UK, the DOLPHIN G DM-i. We've really enjoyed meeting car enthusiasts from around the world, and it's been a particular thrill to see our cars, such as the YANGWANG U9X, going up the iconic hillclimb. Goodwood really is a global centrepiece for car culture, and we're delighted to have been able to show how our new-energy technologies are creating advances in sustainable mobility around the world."

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