In an era where sustainability and efficiency define success, engineering solution providers must go beyond compliance, embracing agile development, data-driven design, and cross-industry collaboration. The future belongs to those who anticipate trends, integrate cutting-edge technologies, and deliver holistic solutions that balance innovation with cost efficiency. Tata Technologies is at the forefront of this transformation, helping clients design and develop next-generation products for a cleaner, smarter world.
Speaking to Mobility Outlook, Marc Manns, Vehicle Line Director - EE at Tata Technologies, highlighted the growing expectations from customers—demanding end-to-end solutions, integrated thought leadership, and the seamless incorporation of emerging technologies like AI and V2X. To meet these challenges, Tata Technologies is assembling a diverse team of subject matter experts (SMEs) across industries, from automotive and aerospace to heavy equipment, ensuring the transferability of skills and expertise. By maintaining a lean, cost-effective organization and leveraging global talent, the company is redefining engineering excellence in the age of sustainable innovation.
“Our team in India ensures that we bring in the right expertise while maintaining a strategic balance between specialized knowledge and cost efficiency,” he added.
Harnessing AI and Data-Driven Innovation For Smarter Engineering
Tata Technologies is redefining engineering solutions through agile development, data-driven design, and high-performance innovation, all while ensuring regulatory compliance, meeting evolving consumer expectations, and maintaining cost efficiency.
By leveraging AI, IoT, and automation, the company is striking a balance between cost optimisation and customer-centric solutions. One such innovation is its prognostics system, which integrates expertise in connected cars, e-powertrains, and data science to predict potential issues before they arise. This predictive approach not only reduces warranty costs but also prevents costly hardware replacements and dealership interventions, he explained.
A key breakthrough is self-healing technology, where machine learning and software-driven diagnostics identify root causes and enable remote fixes—such as over-the-air ECU updates—eliminating the need for expensive repairs.
Looking ahead, Tata Technologies aims to help customers monetise data-driven solutions, reinforcing the idea that data is the new gold mine in the future of mobility. By harnessing AI and predictive analytics, the company is paving the way for smarter, more cost-effective, and sustainable engineering solutions, he mentioned.
Smarter Approach To Materials & Supply Chain
Sustainability in engineering extends beyond material selection—it requires a holistic approach to circular economy principles, ethical sourcing, and cost-effective solutions. Given the high costs of eco-friendly materials and processes, Tata Technologies is actively helping customers strike a balance between sustainability and affordability, he pointed out.
A dedicated sustainability team is leading initiatives such as the battery passport, while also integrating carbon footprint tracking into enterprise resource planning (ERP) and procurement systems. By embedding intelligence into backend processes, the company helps customers identify low-carbon, ethical suppliers, ensuring compliance with net-zero targets and responsible sourcing practices, he said.
Beyond carbon reduction, Tata Technologies is also focusing on ethical mining and responsible material sourcing. Collaborating with multiple customers, the company ensures that suppliers—from miners to ECU and material providers—adhere to ethical standards, avoiding practices like child labour. By enabling data-driven decision-making, the company is empowering businesses to align with sustainability goals without compromising cost efficiency, reinforcing its commitment to a cleaner, fairer, and more responsible supply chain, Manns said.
Transforming Manufacturing With AI & Prognostics
Beyond product innovation, Tata Technologies is redefining manufacturing efficiency by integrating AI-driven prognostics into production processes. By leveraging its deep expertise in engineering, digital manufacturing, and predictive analytics, the company is helping automotive component makers, Tier 1 suppliers, and vehicle manufacturers reduce downtime and enhance operational efficiency.
Through AI and machine learning, the company enables manufacturers to anticipate equipment failures before they occur, allowing for proactive maintenance and preventing costly disruptions. In industries where a single manufacturing line failure can lead to substantial financial losses, predictive diagnostics for control systems, software, and machinery provide a critical advantage. This convergence of engineering and digital technology is shaping the future of smart manufacturing, he clarified. Tata Technologies is fostering cross-disciplinary teams with both engineering and digital expertise, ensuring that manufacturers not only fix issues before they escalate but also optimise production lines for greater resilience and efficiency.
Scalable Platforms
As mass production evolves into mass customisation, vehicle manufacturers face growing complexities in managing multiple models and variants on a single platform. While supply chain maturity has minimised external disruptions, in-house challenges—driven by shifting consumer demands—require innovative solutions, he observed.
Tata Technologies is at the forefront of SDVs development, helping manufacturers transition to software-driven architectures that enable seamless feature updates via over-the-air (OTA) solutions. By investing in software and hardware architecture expertise, the company ensures that vehicle platforms are designed with future scalability in mind, featuring the right memory, operating systems, and modular applications that allow for software-based customisation without hardware limitations.
Beyond SDVs, Tata Technologies supports OEMs in platform scalability, ensuring that vehicle architectures can accommodate multiple models, drive configurations (LHD/RHD), and trim variations. With expertise spanning full vehicle programmes—from concept and design to production and delivery—the company empowers manufacturers to develop flexible, future-ready platforms that enhance efficiency, reduce development time, and meet evolving market demands, Manns summed up.
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