Dalus is an AI-driven, collaborative systems engineering platform designed to streamline hardware system design by integrating requirements management, system architecture, and simulation into a unified environment. By leveraging the latest SysMLv2 standard, Dalus enables engineering teams to model complex systems, manage requirements, and preserve engineering knowledge efficiently. This approach addresses common challenges in modern hardware development, such as integration difficulties, unclear requirements, and communication silos, thereby enhancing clarity, structure, and intelligence in the engineering workflow. Key Features and Functionality: - Requirements Management: Track requirement statuses, assign engineers, and ensure real-time updates to maintain oversight and accountability. - System Architecture: Decompose systems into subsystems, parts, and interfaces to create a comprehensive structural architecture. - Analysis & Verification: Verify requirements by integrating behavior and simulation, utilizing tools like Python or MATLAB for various states and functions. - Collaboration: Enhance teamwork with live collaboration, branching workflows, and role-based permissions to ensure efficient project management. - Dalus Copilot: An AI-powered assistant that generates models, retrieves information, identifies issues, and creates system architectures based on extracted requirements. - Version Control: Maintain a full version history, implement approval workflows, and facilitate seamless model merging to track changes effectively. Primary Value and Problem Solved: Dalus addresses the complexities inherent in modern hardware development by providing a centralized platform that unifies various aspects of systems engineering. It mitigates issues such as integration challenges, unclear requirements leading to costly late-stage changes, and knowledge gaps resulting from undocumented understanding. By offering real-time collaboration, comprehensive traceability, and AI-driven insights, Dalus empowers engineering teams to accelerate development cycles, reduce errors, and deliver reliable systems efficiently.