We help companies with customized Staffing Solutions which offer a flexible, as well as a scalable workforce in the automotive domain.
We perform rigorous screening and vetting processes to ensure the quality of resources.
With a domain specific HR team, we enable our clients in speed of hiring.
In some regions, we enable our clients with HR services and help save the cost of having a full-time HR talent acquisition team. In this space we not only provide support with automotive domain but also extend to any skill - from chip to cloud.
Risk mitigation - easy replacement of non-performing resources as the business demands.
Our case studies
Vehicle to Everything Communication (V2X)
Vehicle-to-everything(V2X) communication systems connect directly to smart sensors and cameras. We are working on a single Domain Controller Architecture concept, where Body Control, Powertrain, Telematics, OTA, or EVs interacting with the charging station to enable secure billing, all running on one powerful processor under this Architecture defined in-line with AUTOSAR Systems.
Digital cockpit
Designing a scalable and secure software architecture for a European Tier-1 by leveraging advanced analytics and AI (Artificial Intelligence) capabilities to enable real-time monitoring of vehicle performance, safety, and comfort. The architecture can run multiple OS and applications to combine distributed functionalities.
V&V: Sensor System validation
Providing end-to-end system test and validation of vehicle sensor systems. The complexity of testing intelligent and autonomous vehicles with active safety, ADAS & autonomous development has increased significantly. We help with multiple facets of this testing across automotive systems.
Vehicle Health Management Platform
Utilize AI and in vehicle data to provide early warnings of potential malfunctions in vehicles, helping the customer to plan their service time, reduce severe damages if warning indicators show up, fuel consumption information, and more.
AI Power infotainment
Key Components of AI powered infotainment: Voice recognition: Provide hands free interaction. Machine learning: Enable infotainment systems to learn from drivers. Natural language processing: enable computers to understand, interpret, and generate human language. Data analytics: Help process large amounts of information
