There are increasing software components to vehicles, with new intelligence being added and them getting more sophisticated. SaaS is a way to deliver the software, and we are seeing more software in the automotive industry. Venkat Nathan, Founder and CEO, Nesh LIVE, talks to us about the start-up’s transition to a vehicle connectivity solutions company, their USP and more.

While we see large players like Tesla choosing to build their vehicle connectivity solutions inhouse, SaaS could be the way to go for medium to small players in the automotive OEM space to enable these solutions. However, they may need to approach companies that offer full-stack SaaS solutions for vehicle connectivity to compete with the large players.

One such company is Nesh LIVE, which provides SaaS solutions for vehicle connectivity and was selected by Stanford University as one of the promising start-ups in India under the Seed Transformation Programme in 2017, and has close to about 100,000 vehicles in its system. Moreover, the start-up has been working with vehicle manufacturers for close to five years now.

“Our solutions are deployed at leading truck, bus and off-road vehicle manufacturers. Besides this, we are also working with electric vehicle (EV) manufacturers right now,” says Venkat Nathan, Founder and CEO, Nesh LIVE. “We are working towards helping these manufacturers extract, transfer and analyse battery and vehicle data in the cloud. This in turn is the bedrock for any mobility – that bedrock is quality data, and quality data comes with connectivity right at the production line and the latest sensors supporting the extractions. So when a vehicle is born, the sensors are put in right at the time of its birth as an OEM fitment rather than leaving it to the customer to buy it as an aftermarket fitment.”

The three-dimensional way
Nesh LIVE’s specialisation is that it works with manufacturers early on and tries to integrate its products into the manufacturing line. That way, the whole ecosystem benefits from quality data. In order to build intelligent insights on data, connectivity has to have all the dimensions, from vehicle data to user-behaviour to the environment. The start-up attacks the automotive OEMs’ problems in this three-dimensional way. Doing this provides insights not just for the manufacturers but for the entire network – everyone in the chain is allowed to see and access information that they are allowed to see and access.

The rating system
“Today, we collect close to 100 million data points a day. Nesh LIVE also provides rating systems for the vehicle as a feature, based on the data they get,” says Nathan and goes on, “This rating is useful for the fleet owner.”

The rating system is provided for the vehicle and drivers, and now Nesh LIVE will be extending very similar algorithms for battery rating of electric vehicles. There are a number of applications for battery rating; for one, it helps the user understand the health of the battery. And secondly, as these batteries come up for reuse in other sectors, the grading system will help decide their afterlife in the long run. In fact, the vehicle rating system helps people anonymously compare their own vehicles within their own fleet and other fleets as well.

“In summary, we identify what data is needed and work with the automotive manufacturers. We then extract that data and send it to the cloud. Once that data is sent to the cloud, we run a lot of analytics in the cloud and then provide insights to different stakeholders,” Nathan makes clear.

Nesh LIVE’s SaaS solution – from ICEs to EVs
Some aspects of the SaaS feature are common, while some are industry-specific. “For instance, bus manufacturers want to know when the bus shows the pick-up location in advance. While all applications need to be highly accurate, the accuracy requirements in the bus segment are much higher within SaaS,” Nathan tells us and goes on, “However, in case of construction equipment like earth movers, for instance, there is greater importance to monitoring its working hours rather than accuracy of its location since it is mostly restricted to select zones. Hence, there are small variations from segment to segment. Even EVs have some variations that we are addressing right now.”

Elaborating further on this, Nathan says, “The EV industry is very interested in having a lot of analytics on battery, especially the charging and discharging cycles and health of the battery. This in turn impacts the range of the vehicle, and the range of a vehicle is dynamic. The dynamic range prediction needs to take into account, along with the driver behaviour, such as braking and speed, the usage of the vehicle, the environment, the road surface etc.”

“The SaaS offerings include the mobile app for the driver. For example, the driver gets push notifications based on what we see in terms of his/her handling the vehicle, the way he/she drives, the battery being due for service etc. Besides, we also educate and engage the user for best practices of the EV vehicle,” he adds.

From mobile applications to vehicle connectivity solutions
In fact, Nesh LIVE was initially into building mobile applications for the fleet industry when the product was launched in 2015, before venturing into vehicle connectivity solutions. However, the transition wasn’t too difficult as the two fields are very related, Nathan claims. He asserts, “When we started back in 2015, we started with applications on the phone, predominantly focused on the driver dimension. We provided the driver with an app, like Ola or Uber do today, and basically tracked the phone. The industry had just begun to explore other forms of connectivity of tracking a vehicle back then. So what started in 2015 as GPS tracking and reporting has slowly morphed into a huge vehicle intelligence and analytics platform.”

GPS tracking was, in truth, seen as a low-end commodity product back in 2015. “So when we approached large automotive suppliers with our solution, they approached it cautiously,” Nathan tells us and continues, “However, we had to really convince them that while today it is only GPS, tomorrow it will be the black box of the vehicle – like the Wi-Fi of a house – enabling connectivity and becoming the point of access to the internet.”

Therefore, while the transition for the company from a technical perspective wasn’t much, convincing customers to adopt the technology and telling them that it would morph into providing intelligence for the vehicle and improving its efficiency and safety was difficult back then. “However, we saw the perspective change after 2019. Today, the end-user wants intelligent insights,” Nathan explains.

He further adds that Nesh LIVE has also created virtual sensors that direct the load of the vehicle. “We can tell if a vehicle is travelling with or without load by algorithms. This has further increased the utilisation of the vehicle,” he informs.

Reinventing and staying ahead
While the start-up has come a long way since its inception, it has to face competition like any other organisation and industry. Nathan cites that Nesh LIVE has competition at two levels – the IoT level and the transporter level.

“The IoT-level competition is quite generic and not focused on automotive; data is collected from any industrial equipment, is processed and analytics on it is provided. It is very broad-based,” he explains and goes on, “On the other hand, Nesh LIVE is very automotive-niche; we have people with experience in automotives and we have worked with automotive companies for nearly seven years. Therefore, we have built up a lot of domain knowledge that comes in handy to provide advanced analytics.”

“At the transporter level, one will find companies providing good GPS tracking solutions to transporters. These competitors are at the transporter level, meeting their respective needs,” Nathan further explains.

Coming to where Nesh LIVE stands out, Nathan highlights, “Our start-up does not provide just for the transporters. Our USP is that we provide a lot of features for the auto manufacturer, including the dealers and service network of the manufacturer. And all of this is automated as a production line fitment at the manufacturing line. So we try to stay ahead by being domain-focused and being a very holistic end-to-end player for the ecosystem – not just for the transporter.”

But staying ahead of the competition is not enough. Nesh LIVE has also been constantly working on enhancing its SaaS platform. The start-up invests 20-30 percent into new R&D initiatives of SaaS and is continuously improving. In fact, it has customers in Canada and has ongoing trials in Dubai and the US. Moreover, it has already run some trials in Nigeria.

Cater to the automotive ecosystem
Today, it’s all about providing intelligent insights, which has been a pull from the end-users themselves. The end-users want to increase their vehicle utilisation and get more revenue out of it. What’s more important is that the software architecture has to show agility for the vehicle from the very first day. Therefore, SaaS technology will not only improve the safety but also the efficiency and operation of every vehicle, and last but not least, help cater to the automotive ecosystem.

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Delhi NCR-headquartered electric vehicle company Omega Seiki Mobility (OSM) has partnered Electra AI to integrate battery health monitoring across its fleet operations.

The collaboration incorporates Electra AI’s analytics platform into OSM’s electric commercial vehicles. The technology enables real-time tracking, predictive maintenance and state-of-health diagnostics for battery packs. The data metrics aim to support warranty management, optimise vehicle uptime, assist financing assessments and provide residual value tracking for secondary market sales.

Uday Narang, Founder and Chairman, Omega Seiki Mobility, said, "The next phase of EV growth in India will not be driven solely by new vehicle sales, but by the creation of a credible and thriving secondary market. Battery health is the single biggest determinant of an EV's residual value, and until that can be measured transparently, the used EV market will remain constrained. Through our partnership with Electra AI, we are bringing unprecedented visibility into battery performance, enabling buyers, financiers, and fleet operators to make informed decisions with confidence. This will help improve resale values, unlock greater access to financing, and accelerate the adoption of electric mobility by ensuring that EVs remain valuable assets throughout their lifecycle."

Vivek Dhawan, Chief Strategy Officer, Omega Seiki Mobility, said, “As electric mobility scales, the industry must move beyond selling vehicles and focus on delivering intelligence that improves asset performance throughout its life. By integrating Electra AI's advanced analytics into our ecosystem, we will gain deeper operational insights that help enhance fleet productivity, reduce unplanned downtime, strengthen warranty management, and support data-driven product development. This collaboration represents an important step towards building a smarter, more efficient, and technology-led mobility ecosystem that creates tangible value for customers, partners, and stakeholders alike."

Fabrizio Martini, Co-Founder and Chief Executive Officer, Electra AI, stated: “Vehicle makers like OSM are being asked to put more capable, more affordable EVs on the road every year — and to stand behind them with confidence. Our AI Brain for Batteries platform gives them the real-world intelligence to do exactly that: design better vehicles, offer stronger assurance to their customers, and keep fleets running. That’s what battery intelligence is for — turning data into trust across the whole ecosystem, from the OEM to the financier to the operator.”

The deployment aims to support commercial fleet operators across India by reducing maintenance delays and improving total cost of ownership visibility.

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Hyundai Motor India, in partnership with Radio Mirchi, has launched the Hyundai Traffic Quality Index, a standardised traffic rating framework designed to convey real-time road conditions across seven major Indian cities. The initiative operates across Delhi, Mumbai, Bengaluru, Chennai, Hyderabad, Pune and Kolkata.

The system translates live traffic inputs, on-ground reports and official traffic police advisories into a numerical scale from 1 to 10. The ratings are categorised into three colour-coded tiers: 1 to 3 represented in green for light traffic, 4 to 7 in yellow for moderate traffic and 8 to 10 in red for heavy congestion. Updates are broadcast over Radio Mirchi’s audio network to inform drivers during commutes without requiring direct interaction with mobile devices.

The system processes real-time location data alongside updates regarding road closures, diversions, and civic works. Hyundai Motor India and Radio Mirchi plan to expand the index to additional urban centres in subsequent phases of the project.

Virat Khullar, Head of Marketing, Hyundai Motor India, said, “At Hyundai, our commitment to road safety has always extended beyond the vehicle itself. For over three decades in India, we have continuously invested in technologies and initiatives that make mobility safer and smarter. With the Hyundai Traffic Quality Index, we are taking that commitment a step further by empowering commuters with actionable information. We believe informed and technology enabled decisions lead to safer roads, calmer driving behaviour and better commuting experience. Our vision is for Hyundai Traffic Quality Index to evolve into a daily utility that millions of Indians rely on, much like they check the weather or the Air Quality Index before stepping out.”

Yatish Mehrishi, Chief Executive Officer, ENIL, said, “Radio has always been a trusted companion for people on the move. With the Traffic Quality Index, we are taking that relationship a step further by making traffic information simpler, more consistent and more useful for everyday commuters. Our presence across cities, supported by our RJs, on-ground teams and real-time local insights, gives us a unique understanding of how people experience their daily commute. TQI brings these insights together in an easy-to-understand format that can help people make better decisions on the road. We are delighted to partner with Hyundai to build a public utility that can make urban commuting smarter and safer. It is a strong example of how media, technology and local intelligence can come together to solve an everyday consumer need.”

ACP Ravindra Pandit of Delhi Traffic Police, added, “The Hyundai Traffic Quality Index is a commendable initiative that empowers us to keep commuters informed about congestion, diversions, and other traffic-related issues on specific routes. By receiving timely and accurate updates, motorists can make informed decisions and opt for alternate routes, reducing inconvenience and easing congestion. Timely dissemination of reliable traffic information benefits both the public and traffic authorities, making overall traffic management more efficient and commuter-friendly.”

Anil Patil, Regional Transport Officer for Mumbai West, commented, “Understanding and managing traffic more effectively has become increasingly important today. TQI will help us better understand traffic conditions, improve awareness among citizens, and provide valuable support in making traffic management more efficient.”

IPS Manoj Patil, Additional Commissioner of Police for Pune City, said, “Traffic Quality Index can give the traffic police a different kind of study and analysis. Especially because it will include inputs and suggestions coming directly from citizens. So, we will get an independent understanding of the actual traffic situation. I feel this can be extremely useful for us while planning future traffic management as well as infrastructure projects. So, I really welcome this initiative If we are able to measure the traffic quality index in this manner, it will definitely have an overall impact on our deployment and the way we manage traffic.”

Dr B. Shamoondeswari, Additional Commissioner of Police (Traffic) for Greater Chennai Police, said: “Just like AQI helps us understand air quality, TQI will help us understand traffic quality. It’s a great initiative that can make people more aware, help manage congestion, and contribute towards smoother traffic movement in our cities.”

ACP A. Krishnaiah of LB Nagar Traffic Police in Hyderabad noted: “The Hyundai Traffic Quality Index is a valuable initiative that helps commuters stay updated on traffic congestion, diversions, and other route-related issues. Access to timely and reliable traffic information enables motorists to plan their journeys better and choose alternative routes when required. This not only reduces travel inconvenience but also helps ease traffic congestion. Overall, the initiative supports both commuters and traffic authorities by making traffic management more effective, responsive, and commuter-friendly.”

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Open-source autonomous driving software company TIER IV has joined the Next-Generation Edge AI Semiconductor Research and Development Programme, led by the Japan Science and Technology Agency (JST). The initiative focuses on the development of a software-defined system-on-chip (SoC) designed for Level 4 autonomous driving applications.

As part of the programme, a team led by Professor Yoshihiro Kawahara at the University of Tokyo is researching physical AI chip design based on specific use cases. Concurrently, TIER IV is developing the logic design for an AI chip aimed at processing inference for end-to-end autonomous driving systems. TIER IV plans to open-source the resulting logic design, compiler, and software toolchain to allow semiconductor manufacturers and developers to modify and build upon the hardware architecture.

The project focuses on developing hardware architectures tailored for Transformer AI models, which process sensor data from cameras and point clouds for perception and motion planning.

The chip design incorporates dedicated circuits for matrix multiplication and attention mechanisms, aiming to reduce power consumption from external memory transfers. To maintain software adaptability, TIER IV is integrating the Tensor Operator Set Architecture (TOSA) as an intermediate representation layer between AI frameworks such as PyTorch and the chip hardware.

The initiative also applies formal verification techniques to mathematically trace numerical consistency during AI model compilation.

Shinpei Kato, Founder and Chief Executive Officer, TIER IV, said, “Advances in AI have been accelerated by powerful computing platforms, including GPUs, which have enabled rapid progress across the industry. As Level 4 autonomous driving moves toward broader deployment, we believe the next step is to complement these platforms with computing architectures designed for real-world and real-time requirements. Through this initiative, we are introducing a software-defined and open approach to AI chip design that combines power efficiency, adaptability, transparency and verifiability. In particular, the ability to understand how an AI model is transformed for execution and to verify the correctness of that processing will be increasingly important as autonomous driving systems are deployed in safety-critical environments. By extending the open-source philosophy behind Autoware from software to AI chip design and related toolchains, we aim to create an open ecosystem in which automakers, semiconductor manufacturers and developers can build upon the technology and continue advancing their own systems. This represents an important step toward a scalable, adaptable and reliable computing foundation for Level 4 autonomous driving.”

Professor Yoshihiro Kawahara stated, “In physical AI applications such as robotics and autonomous driving, GPU power consumption has long been a major bottleneck for deployment on battery-powered devices. This project aims to fundamentally overcome this constraint through a functionally differentiated chip design backward-mapped from specific use cases. I look forward to TIER IV developing chips responsible for high-level decision-making – specifically, the high-level behavioural layer that handles the thinking process essential for end-to-end physical AI and autonomous driving. As the leading force behind Autoware, the global standard open-source software for autonomous driving, TIER IV is democratising design, with an approach spanning application requirements to hardware. This enables applied researchers to shape their ideal semiconductors. This initiative, supported by an open ecosystem, has the potential to lay the foundations for a steady stream of Japanese startups creating high-value semiconductors.”

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American automotive supplier Stoneridge, Inc. has announced details of its EVO ECU Platform, which will debut at IAA Transportation 2026 in Hanover, Germany.

The electronic control unit (ECU) is engineered for commercial vehicles, buses, coaches and off-highway applications to consolidate system architecture and support software-defined capabilities.

The platform replaces multiple individual control units with a centralised processing architecture designed to manage vehicle data, enable remote software updates and facilitate diagnostics.

The ECU is developed in collaboration with technology partner Renesas Electronics using its R-Car system-on-chip technology and the hardware is built to withstand operating conditions involving temperature variations, vibration and dust exposure.

Christian Leblanc, Global Vice-President of Product and Project Management, Stoneridge, said, “Commercial vehicles are becoming increasingly connected and intelligent, but traditional vehicle architectures were not designed to support the pace of innovation happening today. EVO provides a scalable platform that helps simplify integration, improve vehicle performance and give our customers the flexibility they need to adapt as technology continues to evolve.”

“Fleet customers were at the centre of our development process. EVO helps enable faster troubleshooting, fewer service interruptions and the ability to continuously improve vehicle capabilities throughout the vehicle lifecycle,” added Leblanc.

The software structure was developed alongside Green Hills Software to segregate safety-critical operations while allowing system updates. Additionally, Stoneridge partnered with indie Semiconductor to produce the platform's image processor, supporting camera integration and driver assistance systems.

Natalia Noblet, President and CEO, Stoneridge, said, “Our industry is undergoing a significant transformation, driven by increasing connectivity, automation and evolving regulatory requirements. EVO represents our commitment to helping customers navigate that transformation with a flexible platform designed to support innovation today and tomorrow.”

Aish Dubey, Vice-President and Head of the HPC SoC Division, Renesas Electronics, commented, “Stoneridge’s EVO ECU Platform demonstrates how commercial-vehicle manufacturers can modernise vehicle electronics for demanding operating environments. Our collaboration brings together Stoneridge’s commercial-vehicle expertise and Renesas’ R-Car system-on-chip, power-management and programmable mixed-signal technologies to create a scalable, automotive-grade foundation for connected and software-defined commercial vehicles.”

The system has undergone field testing within the Stoneridge Innovation Truck demonstrator vehicle, which will be exhibited alongside the platform at the Hanover trade show.

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