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itemis ANALYZE
Use enterprise knowledge, ensure compliance

itemis ANALYZE is the knowledge and compliance management solution that delivers complete traceability across the entire product lifecycle.

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Connect. Trace.
Prove. Decide.

itemis ANALYZE is the knowledge and compliance management solution for regulated industries.

Development artifacts from existing tools are brought together into one knowledge graph. The result is traceability without gaps that empowers engineers and AI agents and stands up to audits.

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itemis ANALYZE screenshot
Features

Features at a glance

Lifecycle management & toolchain integration

Your tools stay as they are. itemis ANALYZE connects them into a continuous toolchain.

  • Non-invasive traceability layer

    itemis ANALYZE reads data from your engineering tools, links it and makes it queryable. Artifacts in the source systems stay unchanged; trace links live in a separate layer.

  • Adapters for existing tools

    IBM DOORS, Polarion, Codebeamer, Jama Connect, Enterprise Architect, Simulink, Jira and other tools are connected through proven adapters, many of them bidirectional.

    IBM Jazz IBM DOORS PTC Integrity / RV&S PTC Codebeamer Polarion ALM JAMA Software IBM Rational Rhapsody Sparx Enterprise Architect MATLAB Simulink / Stateflow itemis CREATE itemis SECURE Dassault Cameo Systems Modeler Atlassian Jira Eclipse Mylyn PTC pure::variants Microsoft Word Microsoft Excel OpenOffice CDT (C/C++) JDT (Java) Text Files XML PDF Eclipse EMF View all adapters

Compliance management & requirements traceability

Traceability across tool boundaries for quality management, functional safety and cyber security.

  • End-to-end traceability

    From stakeholder requirements through system architecture and code to tests. Gaps between tools become visible and can be closed.

  • Impact analysis at the push of a button

    When a requirement changes, itemis ANALYZE shows which software components, test cases, safety evidence and security controls are affected.

  • Audit preparation in hours

    Compliance evidence comes from continuous traceability instead of manual collection. Assessment preparation that used to take weeks can be cut to a few hours.

Knowledge management & AI integration

Your engineering organization’s knowledge, queryable in one place for people and AI agents.

  • Knowledge graph

    Requirements, architecture decisions and dependencies that are scattered across GitLab, DOORS, Enterprise Architect and email today sit in one central, queryable graph.

  • MCP server for AI assistants

    Through the Model Context Protocol, AI assistants such as Claude or Copilot access the traceability graph directly and answer questions like “Which requirements are affected by this change?”

  • Skills for engineering tasks

    Skills give AI assistants the domain knowledge they need: they know the structure of your knowledge graph and carry out recurring tasks such as preparing an ASPICE assessment step by step. The ASPICE Agent combines five specialized skills for this.

Editions

The two editions

itemis ANALYZE Classic

The desktop app for project configuration, snapshot creation with delegated authorization and deep UI integration with selection synchronization.

itemis ANALYZE Cloud

Desktop app, web app and cloud storage with data export and API access, custom dashboards and KPIs, and agentic AI integration through an MCP server.

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Feature matrix

What is in which edition?

Compare the scope of itemis ANALYZE Classic and Cloud.

itemis ANALYZE feature comparison by edition
Feature
itemis ANALYZE Classic
(Desktop)
itemis ANALYZE Cloud
(Desktop, Web App & Cloud Storage)
Project & integration
Project configuration

Define which tools and data sources a project includes and how artifacts are linked. This configuration is the basis for every analysis.

Snapshot creation (delegated authorization / permission passthrough)

itemis ANALYZE takes snapshots of your engineering data using your own access rights. You only see the data you can also access in the source tool.

Deep UI integration (selection synchronization)

Select an element in itemis ANALYZE and it is highlighted in the connected tool as well, and vice versa. You switch between analysis and source without searching.

Data & reporting
Data export / API access

Export traceability data or retrieve it via API, for example for your own reports or for further processing in other tools.

Custom dashboards and KPIs

Combine metrics such as traceability coverage in your own dashboards. Project and quality managers see the current status at a glance.

AI
Agentic AI integration (MCP server)

An MCP server gives AI assistants and agents direct access to your knowledge graph. They retrieve engineering context on their own and find traceability gaps.

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Customer success

Rely on proven traceability expertise

itemis ANALYZE is our traceability tool of choice; it helps us produce comprehensive trace information for our entire toolchain that we can analyse and visualise.

Heiko Philipp, Manager Systems Engineering

Knorr-Bremse

itemis ANALYZE supports all the relevant traceability requirements from Automotive SPICE and helps users create and maintain trace links efficiently.

Lars Ostwald, Senior Manager Software Engineering Process

KOSTAL

With itemis ANALYZE we have increased the efficiency of our traceability processes by 70% – a decisive factor in our ASPICE conformity.

Project lead

I.G. Bauerhin GmbH

itemis ANALYZE enabled us to build an integrated toolchain with end-to-end traceability from requirements down to code – exactly what we need for our safety-critical systems.

Software Engineering Lead

DENSO

Insights

Insights on itemis ANALYZE

Format

Unabhängigkeit als prüfbare Eigenschaft – Whitepaper
Whitepapers Functional safety

Unabhängigkeit als prüfbare Eigenschaft

Independence is assessed once in a DFA workshop and never revisited. This whitepaper shows how the independence premise in ASIL decompositions can be verified continuously and machine-executed using graph theory.

Download Whitepaper
German
Compliance Was Never About the Document
Blog Requirements traceability

Compliance Was Never About the Document

AI can now produce TARAs, traceability matrices, and safety cases that are structurally complete and terminologically correct. That surfaces a question worth asking: what, exactly, is being verified? The problem is not AI-generated documentation. It is compliance processes that optimize for artifacts instead of the properties those artifacts were supposed to encode.

Read Article
Florian Antony Florian Antony 6 min read
All insights on itemis ANALYZE
FAQ

Frequently asked questions about itemis ANALYZE

What is itemis ANALYZE?
itemis ANALYZE is the knowledge and compliance management solution for regulated industries. Development artifacts from existing tools are brought together into a knowledge graph. The result is traceability without gaps across the entire product lifecycle.
Which tools can be connected?
Among others DOORS, Jira, GitLab and Enterprise Architect. Connections run through open adapters and standardised interfaces, with no vendor lock-in.
How does AI support the work with itemis ANALYZE?
Through the Model Context Protocol (MCP), AI assistants access requirements, architectures and source code in the knowledge graph directly. AI agents can find and close traceability gaps and pre-check traceability coverage and compliance requirements.
How does itemis ANALYZE help with assessments and audits?
Structured evidence and automatically generated compliance reports reduce the effort for ASPICE assessments and ISO audits. Trace links between requirements, design, development and tests can be evidenced.