Artificial intelligence (AI) is an evolving technology that is still growing, but it is undoubtedly getting better. 

For all we know, factories might not even need lights 20 years later, because most of them will be operated by AI. We see a lot of R&D happening within the AI framework, giving good results. Besides, we see newer frameworks coming in. 

AI-based visual inspection, too, has been growing by leaps and bounds, reshaping automotive inspection. It helps examine detailed defects in vehicles, providing automotive OEMs the opportunity for accuracy and cost-savings. 

One such company focusing on AI-based visual inspection is Lincode Labs, whose AI-backed visual inspection solution, Lincode Visual Inspection System (LIVIS), is its current focus. The company was started with complete research and understanding of the top challenges that manufacturers globally face. After interviewing close to 100 customers, 86 percent of them said that quality inspection happens to be their biggest challenge.

“We were intrigued by this and went to various quality inspection people and identified the technology they were using,” says Rajesh Iyengar, Founder and CEO, Lincode Labs, and goes on, “We went on to find out that the technology hasn’t changed for two decades and there were a lot of false calls in it. That’s when Lincode stepped in and built a product around specific challenges focused on the automotive industry.”

Automotive OEMs, too, look at specifically reducing these false calls and improving productivity, which Lincode has helped solve through its AI-backed visual inspection solution. “The industry standards were 150 to 200 false calls per million inspections. So, in our case, we are doing it in zero to four parts per million,” Iyengar cites.  

Iyengar further reveals that due to this, 80 percent of their customers are repeat orders. “That’s because they are completely happy with the inspection process and the way the inspection is automated,” he mentions.  

LIVIS
Traditional vision systems cannot catch up with AI, as Iyengar says. He avers, “LIVIS stands out because we have built it as a platform. The scalability becomes easier if you’re going to deploy it across multiple factories and locations. But also, the foremost important thing is that it is completely made as a product. Thus, AI is commoditised. With the LIVIS platform, we can bring the cost and time to deployment down.” 

Lincode’s role in the automotive industry
What’s interesting is that even if Lincode caters to the manufacturing industry as a whole, it first addressed the automotive industry. The company researched the market size of various manufacturing companies and the automotive industry took the top spot, with close to USD 542 billion of global value.  

“We started with the automotive industry but pivoted later,” Iyengar tells us and continues, “So, instead of looking at just the automotive or any other industry, we turned our attention to steel, metal, plastic, glass etc. We basically went to the surface and saw how steel and metal are produced today. Whether it’s a CNC machining or forging or casting process, these are major processes used for any industry across the globe involving steel and metal. We understood that steel and metal are dealt with in the same way globally. Therefore, it made sense to go to the surface and into these kinds of defects specifically, and then generalise that and start building a model towards it. This, plus making AI as a product, has made deployment easier across the globe.” 

R&D centre in Bengaluru
Lincode recently opened a new R&D centre in Bengaluru, which also has a significant role to play in deploying the company’s solution across the world.

Stressing on the fact that evolving models are important in AI, Iyengar states, “It’s a continuous process; it’s not that you just build a model and you’re set. We have a big roadmap in the product development, and the Bengaluru R&D centre is going to play a major role in that. We are going to conduct deep research with various data collected across the globe and do various testing with that.” 

Staying ahead
What’s more, Lincode recently closed a funding round in December last year. Catering to a constantly evolving industry like the automotive, Lincode, too, strives to make sure that its visual inspection solution stays ahead and is put to use. “There are about more than 600 parts in a car and each part is segregated – like the structure, wiring, engine components etc.,” Iyengar shares and continues, “These segregations are made so that we can target the sector of the product. For example, when it comes to engine blocks, there is a specific model with a huge data set around engine blocks. This is how we stay ahead of competition.” Iyengar also adds that their trials with various use cases made them understand that inspection alone is not important but also the way the inspection is done. 

Essential skill sets for AI vision systems
Leveraging AI-based visual inspection solutions in the automotive industry is bound to increase productivity, and the cost of labour will also come down because of automation. “Today, most manufacturers use secondary inspection, which can be cut off straight away. This will improve their productivity and also reduce the risk of delays,” Iyengar enlightens. 

Moreover, AI vision systems come with their share of essential skill sets to bring out the best in the automotive industry. Iyengar states that, in general, skilling is required for the factory people. “This could be at various levels,” he puts across and adds, “It could be for the operators, the IT administrator or even the software development team. Hence, deep training is required, which can be somewhat cumbersome because it could be a bit challenging for the operator. So, an IT person might be needed in order to help the operator every time there is a downtime.” 

Covid-19 and AI-backed visual inspection
Such training or skills could certainly come in handy, because Iyengar claims that the need for AI-backed visual inspection solutions in the automotive industry has increased since the Covid-19 pandemic. “Unplanned shutdowns happened during Covid, because of which employees could not report and manufacturing could not continue properly,” he responds and adds, “Hence, a lot of investments are happening because of this. In fact, even now, a lot of employees are still not reporting and the labour problem has become global. It has become tough to get skilled workers. This has led to the adoption of autonomous manufacturing for automotives, where AI is going to play a big role.”

Meeting industry requirements
For an industry that is an economic force globally, AI-based visual inspection is certainly meeting the high-quality requirements of the customers of the automotive sector. Plus, we already see companies like Volvo using the technology. Safety surpasses any requirement, and this requirement can be fulfilled if quality is top-notch. And quality will be at its best if automotive manufacturers can perform production quality inspections in the most efficient way. (MT)

In a landmark development, Uber Freight, in collaboration with Aurora, has announced that fully autonomous lorries (trucks) have been completing return journeys between Dallas, Texas and Houston, Texas (approximately 386km) since April.

These driverless Class 8 trucks are transporting live, commercial freight with no human intervention behind the wheel. This event marks a significant moment as Uber Freight becomes the first logistics platform to offer shippers access to this technology on public roads.

The company shared that the haulage sector has long grappled with issues such as high driver turnover and underutilised assets. Autonomous trucking aims to ease these pressures while providing tangible benefits for shippers, carriers and consumers.

Uber Freight’s autonomous vehicle (AV) carriers have achieved notable results to date:

• Over 500,000 supervised autonomous miles covered on public roads while carrying freight over the past four years.
• The company has moved freight for more than 20 shippers across various industries.
• Goods delivered include everyday essentials such as pet food, paper products, beverages, appliances and packaging materials.

Lior Ron, Founder & CEO, Uber Freight, said, “This milestone is a clear example of what can be achieved when innovation meets logistics leadership. Working with Aurora, we are shaping a future where autonomous lorries enhance the efficiency and reliability of supply chains. This is the kind of value that shippers across the industry are seeking – and why we are dedicated to building a more intelligent and resilient freight network.”

Uber Freight started its journey in autonomous trucking in 2021 with strategic alliances to commercialise AV technology. The integration of the Aurora Driver into the Uber Freight platform has resulted in a seamless end-to-end solution where booking, tracking and load adjustments are managed digitally and efficiently.

This deep integration positions Uber Freight as the first and only logistics network to fully synchronise with autonomous lorries, ensuring freight is matched to suitable routes with minimal human involvement.

With nearly USD 20 billion in freight under management (FUM) and a substantial logistics network, Uber Freight claimed it is well-placed to scale the commercialisation of autonomous lorries. Their leadership in this area extends beyond technology to encompass collaboration and trust-building with shippers, carriers, and partners.

Through initiatives such as the Premier Autonomy Programme, which offers early access to over one billion of Aurora’s driverless miles to Uber Freight carriers through 2030, the company is enabling carriers of all sizes to improve their operations through autonomous technology.

Looking ahead, preparations are underway to support Aurora’s expansion of driverless operations to El Paso and Phoenix by end-2025, opening up new routes and opportunities for the sector.

Leading insurance technology firm RenewBuy makes strategic foray into automotive loan segment with RB Wheelz brand.

The RB Wheelz brand will provide a full suite of automotive loan products — including new vehicle financing, balance transfers and top-up loans — all accessible through RenewBuy’s upgraded digital platform. The integration is designed to offer consumers a seamless experience by combining financing and insurance under one digital roof.

The company estimates that the automotive financing market is expanding at a CAGR of 15–16 percent, which makes it an attractive opportunity for digital-first players like RenewBuy.

In the final quarter of FY25, RenewBuy disbursed nearly INR 1 billion in automotive loans. Looking ahead, the company aims to onboard approximately 10,000 customers and scale its loan disbursement to INR 15 billion in FY2026. The initial rollout will focus on four-wheelers and fleet vehicles.

Indraneel Chatterjee, Co-Founder, RenewBuy, said, “Having served consumers in the insurance space for nearly a decade, we are now expanding our footprint in the financial services ecosystem. We’re leveraging our technology and a 150,000 strong advisor network to bring loan services to consumers across metros and smaller towns. Over 75 percent of buyers in Tier II and III cities are opting for vehicle financing — a high-potential segment we aim to empower with accessible, seamless, and digital solutions.”

RenewBuy’s upgraded platform now includes a dedicated loan feature, supported by partnerships with 18 leading banks and NBFCs.

Elektrobit, a wholly owned independent subsidiary of Continental, has announced a strategic partnership with Metoak, a Chinese provider of intelligent driving solutions, to accelerate the development and adoption of software-defined vehicles (SDVs).

The collaboration integrates Elektrobit’s EB corbos Linux for Safety Applications – an open-source operating system compliant with automotive safety standards – with Metoak’s high-performance chips and driving algorithms. The first mass production project, now in its initial phase, focuses on stereoscopic vision and multi-sensor fusion technologies for next-generation ADAS (Advanced Driver Assistance Systems) controllers. Mass production is expected by early 2026.

The project marks the first integration of open-source systems with domestic chips in China’s intelligent driving sector. Elektrobit brings its global software expertise, while Metoak contributes its stereoscopic vision technology, aiming to deliver secure, cost-effective, and updateable SDV solutions for Chinese automakers.

The partnership centres around two areas:

EB corbos Linux for Safety Applications – The world’s first open-source, high-performance computing OS to meet ISO 26262 ASIL B and IEC 61508 SIL 2 safety standards. Its customisability and compliance with the UNECE R155 cybersecurity regulation make it a competitive choice for automakers. Metoak has successfully adapted the OS to its chips, reducing supply chain risks and offering a flexible solution for local manufacturers.

AUTOSAR Software and Autonomous Driving – The partners will co-develop ASIL D-certified Classic AUTOSAR software to optimise real-time communication and safety. They also plan to work on Level 3 autonomous driving algorithms and build a local ecosystem to support the ‘domestic chips + open-source system’ model.

Yaojie Lu, CEO of Metoak, said: “Partnering with Elektrobit combines the flexibility of EB corbos Linux with our stereo vision and AI technology, enabling cost-efficient and precise perception solutions.”

Maria Anhalt, CEO of Elektrobit, added: “The success of SDVs depends on openness and collaboration. We’re proud to see the industry’s first open-source safety-compliant OS entering mass production alongside Metoak.”

The partnership sets the stage for scalable, safety-certified SDV innovations in China and beyond.

Axiscades Technologies, a leading technology and engineering solutions provider, has appointed Anurag Sharma as CEO of add-solution, a Germany-based subsidiary of Axiscades specialising in wiring harness design & testing for aerospace, automotive and industrial sectors.

The German company focuses on specialised drone development and thermal management offering for Axiscades group in Europe.

Alfonso Martinez, CEO and MD, Axiscades, said, “We are excited to welcome Anurag to our leadership team. He embodies the rare blend of technical expertise and executional foresight that defines Axiscades’ ambition. The future of engineering value is being created: at the intersection of electrification, AI-driven industrial transformation and semiconductor-led innovation and he brings these talents to the table. Anurag’s track record in scaling engineering businesses gives add-solution the exact leverage needed to dominate the software-defined era. His work in EDS and cross-border industrialisation aligns with our strategy to embed deeper into European OEMs’ R&D cycles. In Europe, the sector contributes 4 percent to the GDP and is home to several leading premium car manufacturers, making it a highly attractive market. As part of our restructuring, Axiscades is doubling down on aerospace, defence and engineering services powered by Electronics, Semiconductors and Artificial Intelligence (ESAI).”

“add-solution plays a central role in this vision, bringing software-led scale and agility to these high-priority verticals. We're building a leadership team that doesn’t just respond to industry shifts it shapes them,” he added.

Sharma is an alumnus of IIT Roorkee and comes with over three decades of experience across product development, sales & business development, P&L management and successful execution of large-scale engineering programs.

He began his career with L&T and has held several senior roles across Siemens Technology, Segula Technologies, Altran India, Ansys India and Altair Engineering.

Anurag Sharma, said, “Axiscades is at an inflection point where product innovation in the domain of electronics, semiconductor and digital engineering are converging to create long-term value. The EDS (Electrical Distribution Systems) industry is undergoing a major transformation, with embedded electronic systems and 3D designs taking centre stage. As OEMs increasingly shift towards software-defined vehicles and electrification, the demand for highly specialised, domain-driven engineering services is set to rise. I am thrilled to contribute to this vision and bring together add solution’s deep expertise in EDS and component testing to give Axiscades a unique edge. The goal is to deepen global partnerships and build differentiated capabilities by delivering smarter, faster, and more integrated solutions across the value chain.”