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Extract and prioritize requirements
KomAInu extracts and retrieves all your business requirements and ranks them by priority (incomplete traceability, criticality, etc.).
KomAInu·Solution
Requirements traceability
AI Requirements Traceability Matrix
KomAInu builds your requirements traceability matrix automatically, mapping every SRS requirement to its tests and evidence, and exposing coverage gaps before they become certification risks.
What is a requirements traceability matrix (RTM)?
A requirements traceability matrix (RTM) is a document that links each software requirement to the design, code and test cases that verify it. It gives verification and validation teams bidirectional traceability, from requirement to test and back, so they can prove that every requirement in the SRS is implemented and tested. On DO-178C, ISO 26262, EN 50128 and IEC 62304 projects, maintaining this traceability matrix by hand is one of the most time-consuming parts of the certification effort. See the full benefits of requirements traceability tools for safety-critical teams.
Manual traceability matrices are slow and fragile
Keeping a requirements traceability matrix accurate by hand costs QA, V&V and IVVQ teams hours of work, and still leaves blind spots that a test coverage gap analysis is built to catch.
Hours spent maintaining the matrix
Teams spend hours linking requirements to tests and updating references every time the code or the SRS changes.
Links break after every change
A refactor or a renamed test quietly breaks the traceability, and nobody notices until the next audit.
False confidence in coverage
A test can be linked to a requirement without proving the expected behavior. The matrix looks complete, but coverage is not real.
How KomAInu generates your traceability matrix
KomAInu reads your SRS, analyzes your existing test repository, maps each requirement to its tests, and produces a clear, reviewable requirements traceability matrix, then flags the links that need a human decision.
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Automatic test mapping
For each requirement, see at a glance which test files are mapped to it: KomAInu searches and builds the mapping for you.
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Identify missing test cases
KomAInu identifies every test case for a requirement and shows which ones are already tested and which are still missing.
Built for critical software
An agnostic solution designed for regulated teams in aerospace, automotive, medical, railway and defense.
Need the same evidence inside code review? See the AI compliance reviewer.
Compatible with your standards
KomAInu supports traceability work around DO-178C, ISO 26262, EN 50128 and IEC 62304, adapting to your standard's requirement structure.
Your data never leaves
KomAInu is agnostic to the AI model and can run on-premise or with a private model, so SRS documents, tests and code never leave your infrastructure.
Bidirectional traceability
Trace from requirement to test and from test back to requirement, so you can answer any auditor's question in seconds.
Frequently asked questions
What is a requirements traceability matrix?
A requirements traceability matrix (RTM) links every requirement to the design, code and test cases that verify it, giving teams a single view of what is covered and what is not.
How does KomAInu generate a traceability matrix?
KomAInu reads the SRS, analyzes the existing test code, and maps each requirement to its matching tests and evidence, then computes real coverage.
What is bidirectional traceability?
Bidirectional traceability means you can trace forward from a requirement to its tests and backward from a test to the requirement it verifies. Both directions stay in sync.
Can KomAInu analyze an existing test repository?
Yes. KomAInu is designed to analyze existing test repositories and link them to your requirements, so you do not start the matrix from scratch.
Does KomAInu work with SRS documents?
Yes. The SRS is the source KomAInu uses for requirement-to-test traceability.
Can KomAInu run with open-source or on-premise AI models?
Yes. KomAInu is model-agnostic and can be configured with open-source models hosted on your own infrastructure for classified or confidential projects.
Traceability benchmark
Measured against ICSE 2024 TRIAD
The TraceFuse article shows how a dual TRIAD prior plus a small-model backward pass improves requirement-to-test traceability on LibEST, with AP 48.60% and MAP 63.30%.
Read the TraceFuse benchmarkAutomate your requirements traceability matrix
Talk to our team about generating and maintaining your RTM for your DO-178C, ISO 26262, EN 50128 or IEC 62304 project.