Global product companies can house large R&D centres and can think long-term. New players do not have such investment capacity and need early time to market.
At Auto Karmas, we enable our clients to house a floating R&D team with a well-defined process to drive innovation and make it resource independent. Innovation is a key driver for new-age businesses; we help in housing a team or crowdsource a team to assist our clients in innovating in any area of engineering or IT.
We undertake full-fledged product development, or we can assist our customers by conducting a feasibility study or market research in their area of focus.
Auto Karmas R&D Services can transform an innovative idea into a complete product.
Faster POC and Prototypes: Check the feasibility of ideas in increment steps through agile or rapid repeatable PoCs our teams can help with.
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
