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Artificial intelligence (AI) and machine learning (ML) are revolutionizing software development, particularly in the evolving automobile industry, where software-defined vehicles (SDVs) rely heavily on code for features and performance. These technologies promise to enhance productivity, streamline workflows, and reduce costs—benefits that are crucial for the cost-sensitive automotive sector.
However, challenges remain, including integration difficulties and concerns regarding privacy, functional safety, and compliance. By leveraging AI and ML, software engineers can automate tasks like code generation and debugging, allowing them to focus on more complex, creative aspects. Success requires expertise in the automotive-specific development environment and ensuring compatibility with existing standards and processes.
LiLA, an AI-powered Developer Suite forms the bedrock of Acsia’s AI capabilities in automotive SW development.
*In pipeline
Acsia is committed to working closely with OEMs and their Tier-1 suppliers to fully harness the power of AI Copilot LiLA and enable significant gains in efficiency, productivity, and cost savings across production programs.
1. Validation of automotive component suppliers is time consuming. Too many suppliers. Complexity of data analysis – AI can streamline and analytics to generate recommendation report based on criteria provided. Relevant to OEM and T1.
2. Log analysis and anomaly detection, duplicate defects detection – both are time consuming. Ten thousands of tickets. Logs will be GB size files. Relevant to OEM and T1.
If automotive HMI in English has to be translated to another language like Arabic or Mandarin or Spanish: manual translation of thousands of words and strings is time consuming and expensive.
VP Technology & Innovation
With Acsia since 2014
“AI and ML are revolutionizing automotive software development by streamlining processes, automating tasks like defect management and code generation, and ensuring compliance with industry standards. Acsia’s LiLA Copilot Suite accelerates this transformation, enhancing productivity, reducing development time, and ensuring high-quality, compliant software — helping OEMs stay ahead of competition.”
LiLA helps development teams save considerable effort & time spent on the analysis of DLT logs and reporting anomalies, detection of duplicate bug tickets, unit testing, and code optimization.
LiLA simplifies and saves time on requirements engineering, generating software architecture and design, developing code with engineered prompts, complying with MISRA C/C++ guidelines, unit testing, and code refactoring, dead code elimination, and performance optimization.
LiLA simplifies the management of large code volumes in maintenance projects through refactoring and optimization. It minimizes errors, enhancing software reliability and consistency.
LiLA automates compliance checks against standards, ensuring the software meets all requirements without rejections or rebuilds, allowing for first-time accuracy.
Acsia’s LiLA Copilot Suite is an AI-powered developer suite tailored for the automotive industry. It automates tasks such as defect management, document analysis and code generation, thereby increasing productivity, streamlining workflows, and reducing costs in the automotive software development life cycle (SDLC).
Retrieval Augmented Generation (RAG) in Acsia’s LiLA Copilot Suite streamlines the process of managing automotive requirements by quickly retrieving relevant information from extensive standards and documentation. This eliminates the need for manual searches, significantly reducing turnaround time (TAT) and ensuring accuracy in requirement interpretation.
LiLA can automate various tasks, including:
The suite is deployed locally and operates entirely offline, ensuring that sensitive automotive data remains secure and never gets shared online. This approach prevents unauthorized access and safeguards vital information from potential breaches.
Additionally, LiLA automates compliance checks against industry standards, ensuring that the software meets all regulatory and safety requirements on the first attempt. This eliminates the need for rework or rejections, enhancing both security and development efficiency.
Yes, LiLA has been successfully deployed by a leading German OEM. Many POCs are underway.
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