AI-Assisted Aerospace Design, Development & Safety Assessment
From concept to certification, through a deterministic workflow with integrated AI assistance.
APEX helps users make informed engineering decisions and connects those decisions to requirements, analyses, and supporting evidence—maintaining traceability, identifying gaps and inconsistencies, and supporting certification documentation.
Current development statusCURRENT DEVELOPMENT BUILD · v0.30.287
The development workflow
Explore the current Phase 1 build of the deterministic development and safety workflow. The public preview is available now and remains under development.
AI agents described in Phase 2 are planned and are not part of the current build.
Phase 1 public preview · v0.30.287. Projects are saved for this browser; keep its cookies and export your work regularly.
PHASE 1
Deterministic Development and Safety Workflow Based on Standards
Establish a connected workflow based on ARP4754 system development guidance, ARP4761 system safety guidance, and CS 25.1309 safety requirements.
Guide users from concept and development planning through functional development, hazard assessment, system architecture, requirements allocation, development assurance, validation, verification, and certification evidence.
Each activity defines its required inputs, expected outputs, dependencies, and completion criteria. Maintain traceability across engineering activities, record decisions and assumptions, track unresolved issues, and generate evidence and documentation throughout planning and execution.
Under development · Open the current deployed workflow and explore the features implemented so far.
NEXT PHASE · PHASE 2
Integrated AI Assistance and Expanded Design Guidance
Extend the workflow to CS-E and broader CS-25 design requirements, incorporating design and modeling knowledge, methods, data, and tools from:
- Publicly available resources
Books, technical publications, research papers, published projects, design methods, models, and experimental findings.
- Industry- and organization-specific resources
Company projects, theoretical and practical engineering knowledge, design and development data, models, prototypes, tools, products, test results, and lessons learned.
Integrate AI agents throughout the workflow to support engineering decisions, design and modeling, safety assessment, requirements validation, change-impact analysis, and evidence preparation. Check requirements for clarity, completeness, consistency, and duplication, while expanding automatic traceability and documentation generation.