Requirements-to-test traceability
Connect requirements with implementation and verification context while preserving source ownership.
Engineering Integration and Intelligence Platform
AroTrace connects engineering systems, preserves cross-tool context, automates governed workflows, and brings customer-controlled AI into the tools engineers already use.
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How AroTrace connects engineering systems
AroTrace connects ALM, PLM, software delivery, and verification systems through selected data synchronization, link-based traceability, and governed cross-tool workflows.
Keep approved information aligned between configured systems. Depending on the evaluated integration path, synchronization may be one-way or bidirectional, with scope and direction defined explicitly.
Establish semantically meaningful relationships between requirements, product information, changes, tests, and delivery work. In link-based traceability mode, records remain governed by their responsible source systems rather than being unnecessarily copied.
Coordinate complex enterprise workflows—such as engineering change management and release management—as one governed process across configured systems, including checks, statuses, approvals, and handoffs.
Engineering context
Engineering AI becomes more useful when it can work with the lifecycle context surrounding information. AroTrace connects selected information and relationships across existing ALM, PLM, DevOps and other supported engineering systems. That context supports traceability, workflows and governed AI while source systems remain responsible for their domain records.
Engineering systems: ALM · PLM · MBSE · DevOps · Test / Verification
AroTrace — Engineering Integration & Intelligence Platform
Connected engineering context: Traceability · Digital thread · Change review. Cross-tool workflows — useful without AI. AroAgent / Engineering AI — optional: Contextual analysis and AI-assisted workflows.
Where actions occur: workflow-specific review and approval. Controlled action in the responsible source system.
Requirements, product data, software delivery, tests and engineering evidence often live in different tools. AroTrace connects the relevant context without forcing every team into one platform.
Connect requirements with implementation and verification context while preserving source ownership.
Connect requirements and formal engineering processes with software delivery.
Relate software and systems engineering to product context and change.
Review configured relationships when connected engineering information changes.
Use selected context for bounded AI assistance with workflow-specific review and actions.
Connect requirements, software, hardware and verification across lifecycle boundaries.
Keep requirements, implementation and verification context connected for engineering review.
Follow model, requirement and product context across specialist engineering tools.
How we deliver
AroTrace begins with one bounded integration or workflow inside the engineering environment your teams already use.
Discuss your first workflowDefine one connection or workflow, the responsible team, the applicable rules, and what a useful result should look like.
Fit the workflow to your conventions and validate real outputs with the engineers responsible for them. Preserve review evidence, provenance, and source relationships.
Reuse the proven pattern across additional systems, teams, and related engineering workflows.
Customer deployments
Customers start with one engineering challenge and expand across integration, automation, and governed AI.
Production deployment
Hamilton Robotics uses AroTrace and AroAgent with Polarion for AI-assisted test generation. Engineering knowledge sources, refinement through engineer feedback and traceability support the workflow, with engineers retaining review and control over outputs.
Explore the Hamilton storyAroTrace works across heterogeneous engineering environments without requiring every team to move into one system. Scope, versions, operations, and direction are evaluated for each integration path.
Governed engineering AI
Locally hosted or approved cloud models, running inside the environment you designate. You choose the deployment, not the vendor.
Retrieval scope is set explicitly: which projects, artefact types, statuses, documents, and reference examples may inform a result.
In the test-case workflow, engineers inspect and edit candidates before approved creation. Review and writeback boundaries are defined for the selected workflow.
Results are created as typed engineering artefacts, in the target document and position, linked to their source — with the context used on show.
The company behind AroTrace
AroTrace is developed by Arorian Technologies, an international engineering-software and transformation company headquartered in Eschborn, Germany.
Work across ALM, PLM, integration, migration, and lifecycle traceability exposed a recurring challenge: isolated solutions solve one connection, while engineering organizations need a reusable way to govern many connections over time.
Meet the company behind AroTraceWhat others say about us
Arorian Technologies significantly enhanced efficiency in Requirements Management and Monitoring through the creation of applications and dashboards.
When Arorian began assisting us, it became clear what we actually wanted without being constrained by the tool.
Recognized research and development
Arorian has received the red BSFZ seal for its internally conducted research and development behind AroTrace.
The BSFZ assessment concerns the underlying R&D project. Learn what the BSFZ seal represents
Tell us where the thread breaks today. We will scope one connection, one workflow, or one trace path — and show you what it takes.