A part of FEV Group
Your requirements backlog is growing faster than your team can handle. Learn how AI in requirements engineering accelerates traceability, improves quality, and helps regulated engineering teams regain control and throughput.
Engineering organizations lose up to 40% of development costs due to poor knowledge reuse and unstructured processes. The Engineering Process Framework (EPF) addresses this challenge by standardizing processes, enabling global knowledge access, and creating a solid data foundation for scalable AI and improved engineering efficiency.
AI agents are transforming systems engineering by automating requirements extraction, architecture modeling, and compliance workflows. By combining Systems-as-Code with MBSE copilots, organizations can recover legacy specifications, ensure traceability, and meet growing regulatory demands—while reducing engineering effort and accelerating development timelines.
An expert-driven Generative AI solution, the HARA CoPilotAgent enhances Functional Safety workflows by automating repetitive analysis steps while ensuring continuous expert validation. This approach significantly improves efficiency and consistency in hazard analysis without compromising the rigor required by ISO 26262.
The increasing connectivity and complexity of modern vehicles significantly raise cybersecurity risks, making comprehensive security measures across the entire vehicle lifecycle essential. The UN regulations R155 (Cybersecurity Management System) and R156 (Software Update Management System), mandatory for new vehicles from July 2024, require manufacturers to implement structured processes for vehicle security, risk management, and secure software updates.
Cybersecurity under Euro 7: How antitampering, TARA and ISO/SAE 21434 ensure secure emission compliance for cars and heavy-duty trucks.
Within this newsletter, you will find the latest updates from FEV.io GmbH on ADAS, autonomous driving, and V2V communication technologies aimed at improving the behavior of automated driving functions in challenging situations. As already highlighted in several publications related to…
Railway automation requires gradual integration into complex safety systems, with robust perception enabling safer, more efficient operations.
1. Motivation Humanoid robots are rapidly moving from the realm of a temporary hype to becoming a potential disruptor across multiple industries. Unlike traditional industrial robots, humanoid systems offer significantly greater flexibility in unstructured environments thanks to their human‑like form factor, enabling a broad…
1. Motivation for TARA Automation The Threat Analysis and Risk Assessment (TARA) is a mandatory and essential work product of the cybersecurity lifecycle defined by the standard ISO/SAE 21434 for road vehicles. Typically, TARA activities are performed manually by cybersecurity engineers – a time-consuming task that may result in incomplete or incorrect results. Furthermore, the task of performing TARA depends on the individual viewpoint of…