Model-to-code-to-assurance
Build embedded products you can prove.
Certiveon Embedded Engineer turns system models into reproducible software and connects every engineering decision to configuration, code, Git, CI/CD, tests and an audit-ready evidence bundle.
Digital thread / Release 24.7
96%
Traceability complete
Policy checks passed
Human approval required
One continuous story
From product intent to release evidence.
Every step contributes information to one verifiable digital thread. Select a stage to see how the product story develops.
Evolution, not reinvention
A proven engineering core. A bigger assurance mission.
Certiveon builds on Embedded Engineer's existing code generation and automation capabilities instead of hiding them behind a new platform narrative.
Embedded Engineer today
Current product capabilities documented for Embedded Engineer 4.0.1.
01
Model-driven code generation
Generate implementation from structural and behavioral UML models directly within Enterprise Architect.
02
Target-agnostic approach
Adapt languages, compilers, frameworks and coding conventions through an open UML profile and generator configuration.
03
Code synchronization
Protect and synchronize designated user-code sections between generated files and the engineering model.
04
CLI automation
Bring headless code generation into CI/CD with defined parameters, warnings and exit codes.
The next product layer
Product-line engineering and continuous assurance inspired by the PROGEN research objectives.
01
Product-line engineering
Feature models, constraints, reusable assets and configuration as code for entire embedded product families.
02
Deterministic guardrails
Policy checks enforce engineering, safety, security and compliance rules before a product can progress.
03
Continuous assurance
Trace requirements, configuration, model, code, commits, build and tests into one release evidence chain.
04
Explainable engineering AI
AI proposes links, design options and change impact while deterministic rules and human approval retain control.
Continuous assurance
Know what is ready. Know what is missing.
The assurance cockpit converts fragmented engineering artefacts into a release-level view of traceability, build health, verification and evidence completeness.
1
Traceability by design
Every release points back to the exact requirement, model, product configuration, generator and commit.
2
Evidence generated continuously
The evidence bundle grows with the product instead of being assembled manually shortly before an audit.
3
Safe use of AI
AI can explain and recommend. It cannot bypass deterministic quality gates or human approval.
96%48 of 50 controls satisfied
Requirements linked100%
Variant constraintsPassed
Regression coverage94%
Open deviations2
Validate configurationPassed
Generate codePassed
Build targetPassed
Static analysisPassed
Execute testsPassed
Create evidenceReady
Product variants24
Verified tests1,284
Build reproducibility100%
VKB shows how models become part of a modern development workflow.
Versicherungskammer Bayern uses Enterprise Architect, LemonTree and SmartGit to establish a clear Git workflow for large models. Feature branches enable parallel work, while comparison, merging, review and governance create control over model changes.
VKB is not presented as a safety reference. It is the strongest current proof point for the middle of the Certiveon story: model - Git - collaboration - review - governance - DevOps.
A controlled branch workflow turns models into governed engineering assets and prepares them for an end-to-end toolchain.
Main / V1.0
Feature branch A
Feature branch B
Reviewed / V2.0
GitVersioned models
ParallelFeature branches
GovernedReview and approval
Product roadmap
A credible 12-month path to trusted product-line engineering.
Research capabilities are introduced only after the deterministic product core, Git workflow and automated evidence chain are stable.
Months 1-3
Trusted baseline
Stabilise the current product and make every generation reproducible and automatable.
- Compatibility matrix and reference setup
- Generator and template versioning
- Machine-readable generation manifest
- Reliable CLI and CI execution
Months 4-6
Product lines
Move from generating one product to managing configurable product families.
- Feature and variability model
- Product configuration as code
- Constraint and resource validation
- Git-linked product baselines
Months 7-9
Continuous assurance
Connect model generation, build, analysis, tests and release evidence.
- GitLab and GitHub reference pipelines
- Deterministic quality gates
- Requirement-to-test traceability
- Automated evidence bundle
Months 10-12
Explainable AI pilot
Use AI as an engineering assistant without giving up deterministic control.
- Requirement and feature suggestions
- Traceability recommendations
- Change impact analysis
- Trade-off exploration and explanation log
Trust architecture
01
02
03
AI proposes. Rules control. Humans approve.
The PROGEN direction combines generative AI with policy-guarded checks. Certiveon turns that principle into a clear product promise.
Explainable assistance
AI suggestions include their context, rationale, uncertainty, model version and the engineer's final decision.
Deterministic gates
Safety, security, engineering and compliance policies remain explicit, versioned and machine-checkable.
Accountable release
No AI result can approve a release, overwrite evidence or bypass the responsible engineer and quality process.
Turn your engineering toolchain into a trustworthy product story.
Start with the proven Embedded Engineer foundation and define the next pilot around product variants, Git, CI/CD, verification and continuous evidence.