US-based artificial intelligence (AI) driven data solutions company iMerit recently launched an automotive AI centre of excellence in Coimbatore. Speaking to Motoring Trend on the sidelines of the event, Chief Executive Officer Radha Ramaswami Basu said, “The Centre of Excellence works on advanced driver assistance systems (ADAS) and audio-visual systems, ensuring that the perception models are safely built with high quality data under many different traffic and weather conditions. Secondly, we perform review work, quality control of the models, generative AI explainability and driving scenario analysis, to close the loop.”

The company has hired all local people from Coimbatore and nearby areas for the centre and provides high quality training to them to hit the ground running. With projects in hand, and long-term customers, it already has a workforce of over 200 people with plans to double the number in 2025. “Our Ango Hub technology gives them a huge advantage in their career journey,” said Basu.

While the company refrained from disclosing customer names citing stringent confidentiality policies, it noted that it works with OEM, Tier-1 and Silicon Valley innovators, in the automotive and drone spaces.

The new centre, iMerit’s 12th location, was inaugurated by Minister of Information Technology and Digital Services for Tamil Nadu, Dr Palanivel Thiagarajan, in the presence of employees, guests and senior executives from iMerit. The company continues to invest in developing industry-leading software and solutions for AI Data to support its customers in autonomous mobility, medical AI and technology.

Speaking on the occasion, Dr Thiagarajan said, “This event signifies a critical milestone, illustrating the remarkable speed at which visionary leadership and dedicated execution can effect change. The establishment of an office within six months—from initial discussions to formal inauguration—constitutes an exceptional accomplishment. Organisations operating in sectors such as artificial intelligence, computer vision and data augmentation are poised to transform industries on a global scale. Moreover, these companies are fostering inclusive growth by advancing historically underserved communities, generating employment opportunities and equipping individuals with advanced skill sets. Notably, with women comprising 52 percent of the workforce, many serving as sole breadwinners, this model embodies innovation, social equity and empowerment—a true reflection of Tamil Nadu’s Chief Minister Thiru MK Stalin’s ambition and excellence.”

Basu also noted, “Coimbatore is a historic cultural and industrial venue. It is already famous for its IT and automotive sectors. I am very pleased to bring these together with iMerit’s automotive AI vertical.  Automotive AI is our largest vertical. 60 percent of our revenues come from cutting-edge companies in autonomous mobility including trucking, ADAS and drones.

Commenting on the new centre, Chief Delivery Officer Anupam Biswas said, “Data quality is critical to AI technology, especially in computer vision and multi-sensor fusion, which are important for innovation in autonomous vehicles. The work is quite complex and we found a good mix of experienced and young talent in the Coimbatore area. This has been our fastest ramp-up in a new location. We have already hired and trained over 220 multi-sensor fusion experts on our Ango Hub software and they have started working on critical customer projects.”

The company emphasises responsible AI through ethical practices. For over 10 years, it has helped leading AI model developers across mission-critical industries like autonomous mobility, healthcare AI and high-tech.  iMerit has also been steadily growing its India business. With Automotive AI in India poised to cross a billion dollars in the next five years, the company hopes to leverage its global know-how to help the Indian industry also build a strong AI data backbone.

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GAC International and Grab have established a strategic partnership to deploy 20,000 electric vehicles (EVs) across six Southeast Asian countries within the next two years. The agreement, signed on 7 January 2025, marks a shift for GAC from product exports to the expansion of an integrated ecosystem comprising products, services and data.

The collaboration focuses on the introduction of three models under the AION brand: the AION Y, AION ES and AION V. These vehicles will be integrated into Grab's fleet to serve the taxi and ride-hailing segments. The AION V, which holds a Euro NCAP five-star safety rating, is positioned as the flagship SUV for the region, while the AION Y and ES models target the high-volume electric taxi market.

Beyond vehicle supply, the companies intend to integrate the Grab driver app directly into GAC’s intelligent cockpit systems. This technical link is designed to improve order acceptance efficiency and driver safety. The partnership also covers the development of aftersales support, data value mining and charging infrastructure to support the large-scale deployment of EVs in the region.

Xia Xianqing, President of GAC Group, attended the exchange, while the agreement was signed by Wang Shunsheng, Vice President of GAC International, and Dylan Choon, Regional Manager of Strategic Partnerships at Grab.

The move comes as the Southeast Asian EV market reported a 50 percent YoY sales increase in 2024. By leveraging Grab’s user base, GAC aims to build brand awareness and gather market insights for future model development. The initiative is intended to reduce regional transport emissions in line with carbon neutrality targets.

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Visteon Corporation has announced an expanded technology partnership with Mahindra & Mahindra that will see its next-generation SmartCore Pro cockpit domain controller deployed in Mahindra’s XUV7X0 SUV lineup.

Unveiled at CES 2026, the SmartCore Pro builds on the SmartCore system introduced in the Mahindra XUV700 in 2021. The new system integrates cockpit electronics, surround view camera technology and telematics on Mahindra’s Adrenox+ platform. It features a three-display configuration supporting vehicle information, infotainment, ADAS visualisation and connectivity, alongside an integrated 360-degree camera system.

Francis Kim, Vice-President of Global Sales & Commercial Excellence and General Manager for Rest of Asia, Visteon, said, “The automotive industry is shifting from discrete systems to fully integrated digital platforms, and India is among the fastest-moving markets in this transition. This partnership demonstrates how strategic OEM collaboration can accelerate time-to-market for complex technologies while laying the foundation for software-defined vehicles.”

Alongside the Mahindra announcement, Visteon also showcased the production specifications and OEM implementations of its High-Performance Compute solution built on the Snapdragon Cockpit Elite platform. The solution follows Visteon’s collaboration with Qualcomm Technologies announced at Auto Shanghai 2025 and is now being demonstrated with multiple global OEMs.

The High-Performance Compute platform supports centralised vehicle architectures and software-defined vehicle strategies. It enables on-device AI processing, multi-display support, multi-user experiences and personalised cockpit features. The system uses the Qualcomm Oryon CPU, Qualcomm Adreno GPU and enhanced NPU AI performance, while Visteon’s cognitoAI Concierge digital assistant operates using the company’s QWEN 7B model.

Uday Dodla, Vice-President, Product Management, Visteon, said, “This High-Performance Compute solution addresses a critical challenge our OEM partners face as they transition to centralized architectures. By consolidating multiple ECUs into a single, powerful platform, we're enabling automakers to reduce complexity and costs while delivering the sophisticated AI-driven experiences that consumers increasingly expect.”

Mark Granger, VP, Product Management at Qualcomm Technologies, said, “Visteon's demonstration of its High-Performance Compute solution on the Snapdragon Cockpit Elite platform highlights the momentum toward centralized, software-defined architectures that will power the next era of intelligent, connected vehicles.”

Visteon said the platform is designed to support a common architecture across vehicle segments, allowing OEMs to scale features while consolidating electronic control units and supporting long-term cost efficiencies.

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French tier 1 supplier Valeo and Hero MotoCorp, the world’s largest manufacturer of motorcycles and scooters, have inked a strategic partnership for Advanced Rider Assistance Systems (ARAS).

The partnership will focus on enhancing rider safety by introducing advanced sensing, perception and intelligent technologies tailored specifically for two-wheelers across both entry-level and premium segments, including the OEM’s emerging electric mobility portfolio under VIDA. 

As part of the understanding, they will focus on ARAS by leveraging Valeo’s radar and smart camera tech equipped in Hero MotoCorp’s two-wheeler portfolio. This will not only enhance safety for two-wheeler users in India, but is also expected to drive awareness amongst customers globally.

The partners state that they have already achieved success in its proof-of-concept systems designed to protect both riders and pedestrians.

Marc Vrecko, CEO, Valeo’s Brain Division, said, “We are truly excited to partner with Hero MotoCorp to deliver solutions that will significantly enhance rider safety and create a more secure riding experience for millions of people. This collaboration is a key step in our strategy to bring advanced technology to the rapidly growing mobility market in India and globally.” 

Ram Kuppuswamy, COO, Plant Operations, Hero MotoCorp, said, “At Hero MotoCorp, we are redefining the future of mobility by bringing advanced technology to our products. Our partnership with Valeo marks a significant stride in making mobility smarter, safer and more sustainable with next-gen advanced rider assistance systems. Together, we aim to make two-wheeler safety accessible to everyone and set new standards for innovation and protection globally.” 

The ARAS architecture is developed as a digital co-pilot for riders, providing a 360deg safety envelope around the vehicle, it provides real-time sensing and intelligent alerts. It uses a radar-based system that can provide critical information/warnings such as Forward Collision Warning (FCW), Distance Warning (DW), Lane Change Assist (LCA), Blind Spot Detection (BSD) and Rear Collision Warning (RCW).

On the other hand, the vision system uses high-resolution cameras to provide Pedestrian Detection, Lane Detection, Traffic Sign Recognition and Lane Departure Warning.

Through intelligent image processing the system identifies road signs and obstacles, even in low-light conditions. Through the combination of radar and vision system, the two-wheeler encompasses a comprehensive safety system for two-wheeler users.

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SiMa.ai has announced its first integrated capability resulting from a collaboration with Synopsys. The joint solution provides a blueprint to accelerate architecture exploration and virtual software development for automotive Systems-on-Chip (SoCs). These chips support applications including Advanced Driver Assistance Systems (ADAS) and In-Vehicle Infotainment (IVI).

The partnership aims to deliver architectures required for software-defined vehicles. The blueprint allows customers to begin the design and validation of custom AI SoCs and ‘shift left’ software development before silicon is available. This process is intended to reduce development costs and accelerate vehicle time-to-market.

The blueprint provides pre-integrated SoC virtual prototypes and a tool workflow using solutions from both companies.

For Architectural Exploration:

• SiMa.ai MLA Performance and Power Estimator (MPPE): Enables customers to size machine learning accelerator designs for specific workloads.
• Synopsys Platform Architect: Used to model workloads and analyse performance, power, memory, and interconnect trade-offs before RTL design.

For Verification and Validation:

• Synopsys Virtualiser Development Kit (VDK): Facilitates software development using a virtual SoC prototype, which can accelerate vehicle time-to-market by up to 12 months.
• SiMa.ai Palette SDK: Supports machine learning workflows for edge AI applications.
• Synopsys ZeBu Emulation: Delivers pre-silicon hardware and software validation to ensure architectures meet workload requirements.

Krishna Rangasayee, Founder & CEO at SiMa.ai, said, "We are pleased with how well the two teams have worked together to quickly create a joint solution uniquely focused on unlocking physical AI capabilities for today's software defined vehicles. Our best-in-class ML platform, combined with Synopsys' industry-leading automotive-grade IP and design automation software creates a powerful foundation for innovation across OEMs in autonomous driving and in-vehicle experiences."

Ravi Subramanian, Chief Product Management Officer, Synopsys, said, "Automotive OEMs need to deliver software-defined AI-enabled vehicles faster to market to drive differentiation, which requires early power optimisation and validation of the compute platform to reduce total cost of development and time to SOP. Our collaboration with SiMa.ai delivering an ML-enabled architecture exploration and software development blueprint supported by a comprehensive integrated suite of tools significantly jumpstarts these activities and enables our automotive customers to bring next-generation ADAS and IVI features to market faster."

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