xHandle Product Showcase
Explore how xHandle turns your codebase into live architecture, traceability, and safety intelligence. Click any preview below to play a short demonstration.
Hazard Analysis
Visualize causal pathways from losses to hazards, unsafe control actions, mitigations, and resulting system requirements.
Functional Diagramming
Build and auto-arrange live system diagrams directly from code or imported data. Connect nodes, manage flows, and export for review.
Aggregated Risk Register
Monitor risk exposure across projects. View top RPNs, stacked bar charts by state, and export CSV reports for stakeholders.
Project Manager
Track owners, due dates, and high-RPN tasks. Quickly filter by status or assignment to keep mitigation actions on schedule.
Requirements — Traceability
Analyze inter-module links, orphaned requirements, and refinements across documents for full bidirectional traceability.
Requirements — Analysis
Manage versioned requirements across object-oriented modules with status tracking and in-line editing.
Code-Based Architecture
Extract and visualize functional architectures directly from your source repository. Maintain live alignment between code and diagrams.
Copilot Threads (xAgent)
Context-aware AI threads run FMEA/STPA analyses, generate requirements, and produce agentic safety reports automatically.
Risk Assessment
Assess likelihood, severity, and RPN in a single, filterable table. Integrate with GitHub or AI pipelines for automated updates.
Cross Functional Agents
Intelligent collaborators that bridge engineering, safety, and product workflows to automate analysis, share context, and maintain continuous traceability across the system lifecycle.
Custom AI-Based Reporting
AI-driven collaborators that generate custom, data-rich reports by synthesizing hazard analysis results, system requirements, and mitigation evidence into continuously updated safety and performance insights.
AI-Generated Test Cases
Automatically derive verification and validation test cases from system requirements, hazard mitigations, and code context. Use AI to propose edge conditions, safety scenarios, and coverage improvements in real time.