NOVA
Convert AI speed into demonstrable trust.
NOVA transforms AI-generated requirements, tests, architecture and engineering documentation into controlled, traceable, verifiable and audit-ready evidence—enabling AI adoption in safety-critical development.
AI made generation fast. Assurance became the bottleneck.
The hard problem is no longer producing requirements, tests and documentation. It is proving that AI-generated artefacts are complete, traceable, deterministically checked and ready for regulated review.
Engineering artefacts consume substantial expert time and remain vulnerable to inconsistency and omission.
Generation becomes abundant, but raw LLM output is unpredictable, unrepeatable and difficult to scale safely.
Teams need traceability, formal verification, governance and certification-ready evidence.
Propose
AI drafts requirements, tests, architecture and documentation.
Verify
Deterministic and formal checks identify ambiguity, incompleteness and conflict.
Govern
Named roles, review gates and approval states keep experts in control.
Evidence
Traceability, decisions and verification results become audit-ready records.
A complete AI assurance platform
From raw requirements through executable tests and release evidence, NOVA supports the engineering lifecycle without asking teams to surrender technical authority to AI.
Requirements Engineering & Verification
Convert natural-language requirements into SMART specifications while checking consistency, completeness and safety-standard alignment.
Test Case & Script Generation
Generate systematic tests and executable scripts using safety-standard techniques, with bidirectional requirement-to-test traceability.
AI-Assisted Architecture
Define, analyse and document system and software architecture aligned with requirements and design standards.
End-to-End Traceability
Maintain living links across requirements, tests, code and evidence, supported by intelligent change-impact analysis.
Human-in-the-Loop Governance
Formal roles, review gates, approval states and audit logs ensure that AI proposes and qualified experts decide.
Evidence Packs & Audit Readiness
Export traceability matrices, coverage results, approval histories and rationale as structured release evidence.
Assurance without replacing your toolchain
NOVA can exchange controlled artefacts with requirements-management and test-execution environments, helping teams introduce AI assurance within established ALM and V&V processes.
Direct LLM output versus an assurance platform
A general-purpose LLM can generate content. NOVA surrounds AI-assisted engineering with the process knowledge, controls and evidence regulated teams require.
| Capability | Direct LLM | NOVA |
|---|---|---|
| Generate text, code or tests | Yes, but unstructured | Controlled engineering process |
| Safety-process knowledge | Not present by default | Configurable through standards |
| Requirement–test–code traceability | Not native | Core capability |
| Audit-ready evidence packs | Partial or absent | Structured by release |
| Human-in-the-loop gates | Not enforced | Roles, gates and approvals |
| Change-impact analysis | None | Intelligent regression support |
| ALM / V&V integration | Limited or ad hoc | Native and custom adapters |
Built for embedded software that cannot fail
According to the supplied NOVA brochure, NOVA fulfils support-tool requirements classified T2 under IEC 61508-3 and EN 50128, is qualified for safety-related development under IEC 61508, EN 50128 and ISO 26262, and validated for use under IEC 62304.
Case studies from regulated engineering
Two practical examples show how NOVA supports new safety validation and legacy recertification programs.
Scale HIL validation without scaling manual effort
Requirements and domain documentation are structured, improved and reviewed before NOVA generates traced SIL2 test cases and scripts for execution on the customer’s HIL environment.
Restore traceability for legacy recertification
NOVA ingests legacy code, requirements and documentation, generates updated requirements and tests, and helps teams rebuild coverage and evidence around existing software.
Measurable engineering impact
The NOVA brochure reports significant improvements across development, cost and certification effort. Results depend on the project baseline, domain, criticality and deployment scope.
Productivity
Move from requirements to executable tests faster while automating repetitive V&V work.
Quality & Compliance
Detect ambiguity, gaps and conflicts early and reduce downstream rework.
Audit Readiness
Retain model, prompt, approval, rationale and trace history for AI-assisted artefacts.
Integration
Connect the assurance workflow to the requirements and test tools your teams already use.
A focused NOVA pilot
Begin with a bounded engineering problem and agreed before-and-after measures. The recommended starting point is 50–200 real requirements with a known ALM/V&V context.
Bring us a real assurance challenge
Lexington Soft and DevelopAir can help you identify a focused use case, map the applicable standard and define a measurable NOVA evaluation.