LiLA AI Copilot Suite

Significantly enhance software development efficiency and productivity.

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.

How Acsia Can Help?

LiLA, an AI-powered Developer Suite forms the bedrock of Acsia’s AI capabilities in automotive SW development.

Consulting Expertise
    • Requirements Engineering*
      • SYS and SWE 
    • Standards Compliance
      • MISRA C/C++
      • ASPICE*
      • ISO 26262*
    • Defect Management
      • Log Analyzer
      • Defect Analyser and Duplicate Detection
    Document Analysis Expertise
    • Feature Modelling*
    • RAG (Retrieval Augmented Generation)
    • Diagram interpreted generation using vision models
    • AUTOSAR Chatbot
    • Norms Analyzer
      Development Expertise
      • Code Development
        • Generate design (SWE.2) from SWE.1 as input​
        • Develop code using prompts generated from SWE.2
        • Create Unit Tests using AI (SWE.4)​
        • Generate code coverage​
      • Code Optimization
        • Code Refactoring
        • Dead Code Elimination
        • Loop Optimization
        • Function Inlining
        • Reduce Code Complexity

      *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.

      Project Highlights

      Log Analysis & Anomaly Detection for a German OEM

      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.

      Breaking Language Barriers in Automotive HMI for a US Tier-1

      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.

      Hear From Experts

      Why Acsia?

      What’s In It For You

      Shorter Development Cycles

      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.

      Faster Time-to-Market

      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.

      Top-notch Quality

      LiLA simplifies the management of large code volumes in maintenance projects through refactoring and optimization. It minimizes errors, enhancing software reliability and consistency. 

      100% Compliance, Faster

      LiLA automates compliance checks against standards, ensuring the software meets all requirements without rejections or rebuilds, allowing for first-time accuracy.

      Frequently Asked Questions

      What is Acsia's LiLA Copilot Suite, and how does it enhance automotive software development?

      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).

      How does Retrieval Augmented Generation (RAG) in Acsia’s LiLA Copilot Suite improve efficiency in handling automotive requirements?

      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.

      What specific tasks can Acsia's LiLA Copilot Suite automate to benefit automotive software engineers?

      LiLA can automate various tasks, including:​

      • Defect management
      • Document analysis
      • Code generation

      How does the LiLA Copilot Suite address challenges related to privacy and compliance in automotive software?

      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.

      Has LiLA been deployed by any OEM?

      Yes, LiLA has been successfully deployed by a leading German OEM. Many POCs are underway.

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