Aurora Labs

Vehicle Software Intelligence by Aurora Labs is a solution designed to address the challenges of Automotive Software Development using AI technology. This software intelligence platform is targeted at automotive manufacturers and suppliers of all sizes. It caters to professionals in various industries, including automotive engineers, software developers, and quality assurance professionals.

Key Features

Line-of-Code Intelligence: According to the vendor, this AI-driven technology provides analysis of software at the line of code resolution, offering insights into software changes and behavior. It also enables remote software maintenance through over-the-air updates.

Auto Validate: The Auto Validate feature helps validate the effects of software updates on interrelated functions, systems, and Electronic Control Units (ECUs). It maps software functionalities, identifies dependencies, and provides evidence for integration and certification processes, assisting automotive companies in meeting regulatory requirements.

Auto Detect: According to the vendor, Auto Detect can identify faults in software behavior and predict downtime events. This feature provides anomaly detection and change risk analysis, allowing for the testing of unscripted scenarios and accurate error resolution. It also maps single or multiple ECUs and analyzes functional relations.

Auto Update: The Auto Update feature enables over-the-air updates for any and all ECUs using standard protocols. The vendor claims it provides zero-downtime ECU updates without the need for reprogramming, with or without A/B Memory. The updates utilize 3-Diff additive update files that are reportedly 6 times smaller than binary diff files, reducing system friction and allowing for instant rollback without reprogramming.

System Compatibility & SBOM: This feature helps validate software system changes and optimization, ensuring compliance with WP29 (R156) regulations. It aims to reduce integration, certification, and safety test time, potentially streamlining the software development process.

AI-Driven SW Glitch Catcher: According to the vendor, the AI-Driven SW Glitch Catcher accelerates software glitch detection and predicts downtime events. It provides real-time monitoring during testing and on the road, assisting in identifying software security, safety, and quality vulnerabilities.

ML-Driven OTA Updates: The ML-Driven OTA Updates leverage AI technology to drive smaller update files, potentially saving data and hardware costs. According to the vendor, it enables zero-downtime updates for a better user experience.

Constant Safe State & Seamless Rollbacks: This feature allows updates to be installed without reflashing or reprogramming, with no reliance on an active connection, and with zero downtime. It also enables instant roll-back to any previous version in case of errors, security incidents, or recalls, maintaining a fully fail-safe redundancy solution.

No Changes to Current Systems and Processes: The vendor claims that this feature integrates 3-Diff algorithms into the development toolchain, automatically creating update files in the same format as the original embedded ECU file. It uses standard file formats, eliminating the need to adapt testing systems, production systems, and dealership maintenance systems. There is no need for proprietary client integration on every ECU.

Clientless – no changes to bootloader: According to the vendor, this feature ensures that diff files are in standard bin, Intel-Hex, or S-record formats, with no changes required to the current software distribution channel. It offers smaller update files compared to other diff technologies.