Coforge Expands Automotive Engineering for Connected and Software-Defined Vehicles
Coforge Limited a global AI-native engineering services company, is expanding its presence in the automotive engineering sector as automakers accelerate investments in connected vehicles, electric vehicles (EVs), software-defined vehicles (SDVs), artificial intelligence and next-generation mobility platforms.
The company is strengthening its automotive engineering operations through its newly established Telecom, Media, Automotive, and Energy Solutions (TMAE) industry vertical. The initiative brings together Coforge’s capabilities across automotive software, vehicle connectivity, cloud technologies, cybersecurity, artificial intelligence, vehicle systems and digital engineering.
Coforge’s automotive engineering practice currently includes approximately 300 professionals located across Argentina, Brazil, Colombia, India, Europe and the United States. The company intends to continue expanding this workforce as demand grows for specialized engineering services supporting the transformation of the global automotive industry.
The expansion comes as automotive manufacturers and suppliers increasingly shift from traditional hardware-focused vehicle development toward technology platforms in which software plays a central role. Modern vehicles are becoming highly connected computing platforms, with software influencing everything from infotainment and navigation to advanced driver assistance, battery management, cybersecurity, vehicle access, fleet operations and customer experiences.
Automotive Industry Moves Toward Software-Defined Vehicles
The emergence of software-defined vehicles is changing the traditional automotive product development model. In conventional vehicles, many functions were determined largely by the physical hardware installed at the time of production. In contrast, software-defined vehicles are designed to receive continuous software improvements and new functionality throughout their operating lives.
This transition creates new engineering requirements for automakers, Tier-1 suppliers and technology partners. Vehicle software must work across increasingly sophisticated electronic architectures, cloud platforms, communication networks and embedded systems. At the same time, these systems need to meet requirements for safety, reliability, cybersecurity and regulatory compliance.
Coforge is positioning its automotive engineering practice around these changing requirements. Its services cover multiple stages of the vehicle technology lifecycle, from initial concept development and system architecture through software engineering, integration, simulation, validation, testing and deployment.
The approach is intended to help automotive organizations manage the increasing convergence between physical vehicle systems and digital technologies.
As vehicles become more connected, automotive companies must coordinate engineering activities across domains that traditionally operated more independently. Vehicle electronics, embedded software, cloud infrastructure, mobile applications, cybersecurity and artificial intelligence increasingly need to function as part of a unified technology environment.
Coforge’s expanded automotive footprint is designed to address this convergence.
End-to-End Automotive Engineering Capabilities
Coforge’s automotive engineering portfolio covers a broad range of vehicle technologies and development activities.
The company provides capabilities in vehicle software development, system architecture, integration, simulation and validation, system testing and verification. These services are complemented by expertise in connected vehicle platforms, over-the-air (OTA) software management, mobile applications, edge-cloud technologies and vehicle data platforms.
Connectivity is another important component of the company’s automotive strategy. Modern connected vehicles rely on communication between the vehicle, cloud services, mobile devices, infrastructure and other vehicles. Technologies such as vehicle-to-everything (V2X) communication can support applications involving traffic information, road infrastructure and vehicle interactions.
Coforge also works across navigation and route-planning technologies, vehicle connectivity and dealer integration. These capabilities can help automotive organizations connect vehicle functions with broader digital ecosystems and customer-facing services.
The company’s engineering services are therefore not limited to individual software components. Instead, they address multiple layers of the vehicle technology stack, including embedded software, connectivity, cloud systems, applications, data and cybersecurity.
Growing Role of Artificial Intelligence
Artificial intelligence is becoming an increasingly important part of automotive engineering, both as an engineering productivity tool and as a technology embedded within vehicles and mobility systems.
Coforge is applying AI throughout the automotive engineering lifecycle with the goal of improving development efficiency, accelerating software engineering and enabling greater levels of vehicle intelligence.
AI applications identified by the company include predictive maintenance, intelligent inspection and user authentication. Predictive maintenance can use vehicle and operational data to identify potential issues before they result in failures, while AI-enabled inspection technologies can assist with identifying defects and automating inspection processes.
User authentication represents another emerging application. As vehicles become increasingly connected to digital identities, smartphones and cloud services, secure authentication becomes important for functions such as vehicle access and personalized experiences.
Coforge has also worked on phone-as-a-key technology, which enables smartphones to function as digital vehicle keys. Such systems combine connectivity, authentication and vehicle software to provide new approaches to vehicle access.
The broader application of AI reflects a fundamental change in automotive engineering. AI is increasingly being used not only inside the vehicle but also during the processes used to design, develop, test, manufacture and maintain vehicles.
Physical AI in Automotive Manufacturing
Coforge is also exploring the application of physical AI in automotive manufacturing.
Physical AI refers broadly to the use of AI-enabled technologies in environments where software interacts with physical systems, machinery and real-world processes. Automotive manufacturing is one area where these technologies could support greater automation and efficiency.
Coforge’s work includes applications such as matching software functions with hardware components and automating manual processes. These applications illustrate how AI can extend beyond conventional software development into physical engineering and manufacturing operations.
The integration of AI with manufacturing systems could become increasingly important as automotive production becomes more complex. EVs, connected vehicles and software-defined architectures require manufacturers to coordinate sophisticated electrical, electronic and software components.
AI-based tools can potentially support engineering teams in identifying relationships between hardware and software, automating repetitive activities and improving manufacturing workflows.
Cybersecurity Becomes Central to Connected Vehicles
The rapid growth of vehicle connectivity also increases the importance of automotive cybersecurity.
Connected vehicles communicate with external networks, mobile devices, cloud platforms and other digital systems. This creates new opportunities for digital services but also expands the potential attack surface that manufacturers and suppliers must protect.
Coforge has developed capabilities in vehicle cybersecurity and authentication as part of its automotive engineering portfolio. Its work includes cybersecurity applications and secure authentication technologies for increasingly connected vehicle environments.
Cybersecurity must be considered throughout the vehicle lifecycle rather than treated solely as a final-stage development activity. Vehicle architecture, software development, connectivity, cloud infrastructure, authentication and OTA updates all require appropriate security considerations.
As software-defined vehicles receive continuous updates after production, secure software deployment and update management become particularly important. OTA technologies can allow manufacturers to deliver new features, improvements and security updates remotely, but these systems must be designed to prevent unauthorized access or manipulation.
Coforge’s combination of connected vehicle engineering and cybersecurity capabilities reflects the growing need to integrate security into the broader software-defined vehicle development process.
Supporting OEMs and Tier-1 Suppliers
Coforge has delivered automotive engineering projects for original equipment manufacturers (OEMs), Tier-1 suppliers and other ecosystem partners.
Its project experience covers several emerging areas, including vehicle cybersecurity, autonomous-vehicle user authentication, predictive maintenance, AI-driven inspection and phone-as-a-key technologies.
The company has also worked on connected vehicle platform management and validation, EV fleet management, edge-cloud connectivity, V2X features, dealer integration and navigation and route planning.
These areas represent some of the key technology requirements emerging across the automotive industry.
For OEMs, the ability to manage software, vehicle data and connected services is becoming increasingly important to the overall vehicle ownership experience. For suppliers, meanwhile, software engineering and systems integration are becoming critical components of their relationships with vehicle manufacturers.
Coforge’s engineering model is intended to support both groups as automotive development becomes more software-intensive.
EVs and Connected Mobility
The expansion of Coforge’s automotive practice also coincides with continued development of electric mobility.
EVs rely heavily on software and electronics for functions such as battery management, charging, energy optimization, fleet monitoring and connected services. Commercial EV fleets, in particular, generate large amounts of operational data that can be used to monitor vehicles, optimize utilization and support predictive maintenance.
Coforge’s experience in EV fleet management and connected technologies provides an opportunity to support these emerging requirements.
Edge and cloud technologies can play an important role in this environment. While some vehicle functions require processing within the vehicle, other applications can rely on cloud-based platforms for data analysis, fleet management and service delivery. Connecting these environments requires reliable software architecture and data integration.
This combination of vehicle-level computing, edge technologies and cloud services is becoming a defining feature of modern mobility platforms.
Expanding Global Engineering Footprint
Coforge’s automotive engineering workforce spans multiple major automotive and technology markets, including Argentina, Brazil, Colombia, India, Europe and the United States.
The geographic distribution allows the company to combine engineering resources across regions while supporting international automotive customers.
The company plans to further expand its automotive engineering footprint as the demand for software, connectivity, AI and cybersecurity capabilities increases.
The expansion also reflects the changing competitive landscape of automotive engineering services. Automakers increasingly require technology partners capable of working across multiple disciplines rather than focusing on a single software or engineering function.
Coforge is therefore combining automotive engineering expertise with its broader AI-native technology capabilities.
Coforge’s Strategy for the Next Generation of Vehicles
Vijay Verma, Executive Vice President of Technology, Media, Automotive, and Energy at Coforge, said the automotive industry is moving from vehicles engineered primarily as products toward platforms that can continuously evolve through software.
According to Verma, this transformation creates greater complexity across vehicle systems, software, connectivity, cloud infrastructure, cybersecurity and the in-vehicle experience.
Coforge’s strategy is to bring these disciplines together through its automotive engineering capabilities and AI-native approach. The company aims to help automotive clients build, integrate and validate technologies supporting connected and software-defined vehicles.
The company’s expanding engineering footprint is also intended to support customers across the complete automotive technology lifecycle.
A Broader Transformation in Automotive Engineering
The evolution toward connected, electric and software-defined vehicles is changing the role of engineering organizations throughout the automotive value chain.
Software is no longer limited to infotainment or individual electronic control units. It is increasingly responsible for vehicle functions, digital services, customer interactions, data management, cybersecurity and continuous product updates.
At the same time, AI is becoming integrated into both vehicle functionality and engineering processes. Cloud platforms and edge computing are extending vehicle capabilities beyond traditional onboard systems, while cybersecurity has become an essential consideration as connectivity increases.
Coforge’s expansion brings together these technologies within its automotive engineering practice.
With approximately 300 professionals already working across key global markets and plans for additional growth, the company is increasing its focus on the technologies supporting the next generation of vehicles.
Its capabilities span vehicle software, connected platforms, EV fleet technologies, V2X, cloud and edge systems, AI, cybersecurity, authentication, navigation, OTA management and manufacturing applications.
As automakers and suppliers continue developing increasingly connected and software-centric products, engineering partners with expertise across both software and physical vehicle systems will play an important role in supporting this transformation. Coforge’s expanded automotive engineering footprint represents its effort to address these requirements through a combination of automotive domain knowledge, digital engineering and AI-native technologies.
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