It’s nothing new: System boundaries in engineering environments, as well as hybrid workflows and data silos, make it difficult for decision-makers to make optimal decisions. This is because a view of the overarching system is usually not possible. It is precisely this overarching view itemis ANALYZE offers to analyze your own system, consisting of requirements, architectures, code fragments, SBOMs, tests and other artifacts.

As a state-of-the-art traceability tool, it is capable of drawing links between a wide variety of elements within your own system – manually, semi-automatically, or fully automatically. As non-invasive software, it leaves the requirements in the requirements management system, the source code in the repository, and so on. At the same time, it enables users to see the relationships between requirements, tests, and QA documentation.

Until now, analyzing this complex network of relationships often required local software installations. With itemis ANALYZE Cloud, a comprehensive view of your own system is now possible simply from the browser. This is now possible. The solution combines the power of a desktop application with the accessibility of the cloud in a new hybrid workflow. Project teams, stakeholders, and auditors can access the central knowledge graph directly in their browser via a web app – without any technical hurdles. Furthermore, complex project states can be "frozen" in the cloud as audit-proof snapshots.

Secure Governance Layer for “Agentic AI”

A key element of the cloud release is preparing the data for artificial intelligence systems. While conventional AI connectors often blindly load large amounts of raw data into Large Language Models (LLMs) – which can lead to loss of context and hallucinations [1] – itemis takes a different approach. itemis ANALYZE acts as a protective governance layer. The software non-invasively extracts only the relevant relationships (trace links) from the primary systems and provides the AI ​​with a semantically prepared basis for reliable reasoning. This guarantees “Explainable AI“: Every output of the AI ​​is fully traceable through direct links to the original source.

Best-of-Breed (BoB) instead of monolithic platform

In an era where proprietary data monoliths dominate the market, itemis ANALYZE deliberately adopts a "best of breed" approach [2]. The open adapter infrastructure ensures that users retain full data sovereignty in their primary systems and prevents vendor lock-in.

“To fully leverage the potential of AI in systems engineering, companies need more than just a data dump – they need a ‘common thread’. With itemis ANALYZE Cloud, we create precisely this Governance Layer. We free knowledge from local tool silos and enable teams to maintain complex documentation for standards such as ASPICE or ISO 26262 transparently, automatically, and with absolute auditability,” says Dr. Alexander Nyßen, Executive Vice President Digital Engineering at itemis AG.

Invitation: Launch Event

itemis AG invites interested parties, customers and press representatives to experience the new hybrid workflow and AI-supported use cases live:

When: April 23, 2026, 4:00 PM to 4:45 PM (CEST)

Format: Free launch event (English)

Speaker: Dr. Alexander Nyßen (EVP Digital Engineering), Jonathan Mohring (President itemis Inc), Florian Antony und Vanessa Klekler.

Registration: https://info.itemis.com/…

[1] – Lost in the Middle: How Language Models Use Long Contexts" (Liu et al., 2023/2024), https://arxiv.org/abs/2307.03172

[2] – Don’t call it Platform, A. Nyßen, 2026, https://blogs.itemis.com/…