The problem you recognise
You are bidding for contracts that require formal MBSE artefacts — requirements trace, architecture baseline, decision record — and the only way to produce them now is to outsource to consultants at AUD $2,900–5,900 per day or spend months inside Cameo and DOORS. Neither option is available inside a four-to-eight-week bid window.
The AI tools being offered to systems engineers generate hallucinated prose that is disconnected from the engineering model. They produce plausible-sounding outputs that cannot be traced to a requirement, cannot be verified against a constraint, and cannot be used in a formal submission without a human expert reviewing every sentence.
Your model is not connected to requirements, decisions, or change management. It is a diagram that nobody trusts — a communication artefact, not a system of truth. The moment someone approves a change in the PLM, the model is stale.
What Clarity does for you
Full L0→L5 chain from ConOps in hours. Upload your Concept of Operations. Clarity’s AI extracts L0 entities — stakeholders, requirements, constraints, assumptions, interfaces — schema-validated before you review them. L1 system architecture is generated from the L0 entities. L2 trade options are generated from the L1 architecture with AI-suggested measures of performance. L3 scenario analysis runs the trade study. L4 locks the baseline. L5 records the decision with a complete evidence chain. The full MBSE chain, produced in hours, not months. Every output is bounded by DeZolve — no hallucinated content enters the model without schema validation and human review.
325 AI generation calls bounded by DeZolve — no hallucination. Every AI output in Clarity is processed by a three-pass sanitiser and validated against the Lx schema before it reaches your review queue. DeZolve checks the output against layer constraints: an L1 entity cannot reference a non-existent L0 entity; an L2 option cannot violate a declared L0 constraint. The model IS the source of truth. When it passes, it passes the schema, not just a plausibility check.
The model is the source of truth — reports are computed projections. There are no separately maintained documents in Clarity. Reports are generated from the live Lx digital thread — always current, always traceable to the entities that produced them. ISO 15288, AS9100, and MIL-STD-973 report presets are built in. Select the scope, select the standard, generate. The evidence pack is produced in minutes, not assembled over weeks.
Any process — agile, waterfall, blended — entry at any Lx layer. You do not have to start from L0. If you already have a requirements baseline in DOORS, Clarity can ingest it at L0. If you have an architecture in Teamcenter, Clarity can start at L1. If the programme is mid-execution, start at L4 and work backward. Clarity does not impose a process; it provides the structure that any process can populate.
Why this matters specifically to you
- Bid loss — formal MBSE artefacts are now a prequalification gate on many defence and aerospace RFQs; weak artefacts eliminate suppliers before the technical evaluation begins
- Model credibility — a model that is not connected to decisions and change management is a liability, not an asset; it will be cited in disputes as evidence of intent, without the rationale that explains it
- AI risk — hallucinated model content that passes a human review because the reviewer cannot distinguish schema-valid AI output from schema-invalid prose is a systematic failure mode; bounded generation eliminates this class of defect
- Tool cost — AUD $9,500–28,500 per user per year for Cameo or DOORS; AUD $750–3,000 for Clarity Professional/Team; the cost difference is not marginal, it is structural
How it works
- Ingest. Upload a ConOps, a requirements spreadsheet, a legacy model export, or any engineering document. Clarity extracts entities with
@sourceprovenance on every item. - Generate. The Lx chain is generated layer by layer. You review and approve each layer before the next generates. AI suggestions are clearly marked; every field you accept or override is recorded.
- Analyse. L3 scenario analysis runs trade studies across L2 options. DeZolve scores each decision’s trustworthiness from the live evidence — before you approve the baseline.
- Report. Select a standard preset or define a custom scope-matrix. The report is generated from the live model in seconds. Export as HTML or PDF. Open JSON format — no licence required to read the data.
- Manage change. When a requirement changes, the change record captures the proposer, the rationale, the baseline affected, and the invariant status. The digital thread updates. The report reflects the change automatically.
Your entry path
Free tier — start today, no credit card required. Three users, one product, full L0–L5 chain, all AI generation features (throttled). Adequate for a single bid preparation cycle or a technology evaluation.
Professional or Team — upgrade when you win the bid and need concurrent programmes, higher AI throughput, and priority support.
→ Start free at compliancewithclarity.com → See pricing details
For questions about SysML compatibility, legacy tool integration, or classified deployment: hello@compliancewithclarity.com
Read more
- 325 AI Agents, Bounded by DeZolve — the bounded generation architecture in detail
- Breaking the DIKW Ceiling — why AI-assisted MBSE requires Knowledge and Wisdom layers, not just Information
- Thirteen Lifecycle Phases, One Graph — the complete Lx lifecycle traceability chain
- How Programmes Actually Work: Non-Linear Entry — entering the Lx chain at any lifecycle phase
- Platform features — full capability overview