Every requirement, checked the moment it's written.
AI made engineering intent cheap to generate. Proving it's correct, consistent, and audit-ready is the new bottleneck.
QRA assures each requirement as it's authored, and the evidence that it's right accumulates as you work.
AI can generate requirements faster than engineers can review them.
More artifacts, faster, isn't a win if review is slow. It just creates work for the downstream team.
AI got very good at writing requirements. Proving each one is correct is a different job, and now the scarce one.
DOORS, Jama, and Polarion hold requirements. They don't check whether each one is consistent with the rest.
The generator and the evaluator should be separate. A deterministic judge is what makes a score defensible.
From first draft to governed artifact, without leaving your tools.
No new process, no migration. The QRA browser extensions (Chrome, Edge) and Microsoft Office add-ins deliver assurance where your requirements already live — DOORS Next, Jama, Polarion, Word, and Excel.
Evaluation agent · QVscribe
Scores every requirement 1–5 against your standard. Same input, same score, every time.
Suggestion agent · ReqWriter
Proposes a standards-conformant rewrite. You accept or reject every change.
An engineer writes a requirement
In the authoring tool they already use. QVscribe scores it 1–5 against your configured standard the moment it's written, and highlights the exact words behind every finding.
The fix happens right there
ReqWriter proposes a standards-conformant rewrite beside the original, with every change highlighted. The engineer accepts or rejects; nothing changes silently, and the score moves in real time.
Evidence accumulates as you work
Every score carries its reasoning: the rule, the configuration version, the engine version. Snapshots and Timelines build a defensible history as a byproduct of the work.
The Separation Principle: the system that writes is never the system that grades. ReqWriter is generative; it writes. QVscribe is a deterministic engine; it grades: same input, same score, every time. That separation is what makes a score you can put in front of an auditor.
"You have the generative aspect to generate requirements, but then you also have the judge to actually measure the quality. Those two should be two different things." — Systems Engineer, Medtech
Engineering work and its evidence, as a single act.
We call it Continuous Engineering Assurance: instead of building first and proving later, assurance happens as the work is authored. Requirements are where we start, because that's where intent begins and where certification evidence is won or lost. We're building outward from there, across the engineering lifecycle. Follow where it goes →
Assess today
Each requirement scored against your standards, inline, with the reasoning attached.
Reconcile in part
Consistency checked across your set: controlled vocabulary, units, near-duplicates. Full semantic reconciliation is on the roadmap.
Evidence today
A versioned, auditable record accumulates as a byproduct of the work, not a project after it.
Completeness roadmap
Judging whether a set is missing anything, and reconciling requirements against models, code, and tests: where we're headed next.
Five capabilities. One platform. Your existing tools.
Buy the QRA Platform and get all of it, with no rip-and-replace. QVscribe does the judging; the rest make sure your standard is encoded, your fixes are on rails, your history is provable, and your pipeline is covered.
QVscribe
Scores every requirement 1–5 against your standard: 19 checks across clarity, testability, structure, and consistency, with EARS and INCOSE conformance. Each finding maps to the exact text that triggered it.
ReqWriter
Standards-guided rewrites beside the original, with each change marked. Generative AI on rails: you accept or reject, and the engine re-scores the result.
Configurations + Glossary
One size fits none. Your rules and controlled vocabulary, versioned and shared through managed groups, so a house standard holds while each program tunes its own.
Snapshots + Timelines
Immutable, content-hashed records of what a requirement set said and scored at any moment, plus live score history you can re-run under a new rubric.
QVscribe API
The same deterministic analysis in your CI/CD pipeline and agentic workflows, so assurance runs continuously instead of at review time.
QVscribe is the engine: it does the scoring. ReqWriter and the rest help you act on what it finds.
Built for the standards you're certified against.
The domain judgment is in the engine. Start where your framework lives.
Aerospace & Defense
Decomposition, derivation, and traceability that hold across long-lifecycle programs, with a record that holds up at every design review and gate.
Medical Devices
Requirements quality as a compliance obligation — the object your design history file is built on, ready when the audit clock starts.
Energy — Oil & Gas and Power
Specification authoring and governance at scale, across a multi-decade specification surface — without silently nullifying the standard you cite.
Automotive & Mobility
Functional-safety quality at punishing volume — turning unstructured OEM inputs into clean, consistent, EARS-conformant requirements.
What our customers say.
The outcomes teams report once QVscribe is part of the requirements workflow.
"We were able to move from red to green. Within 2 weeks."
Requirements Team, Global Energy MajorEstimated savings on one program's lifecycle, presented internally to justify expanded access.
Requirements Lead, Automotive"It's fully bedded in, everybody's using it, everybody's very happy with the service that it's providing."
Systems Team, Rail Operator"They like using ChatGPT, but personally I have to check it all again. Whereas with QVscribe you only show me what's wrong with it. That's my big seller." Specification Lead, Energy
The answers your security, procurement, and integration reviewers ask for first.
The fit with your stack, the deployment posture, and what QRA does today: the things reviewers check first.
Fits your stack
- IBM DOORS Next
- Siemens Polarion
- Jama Connect
- Microsoft Word & Excel add-ins
- REST API for pipelines & automation
Clears the top gates
- Data residency / in-region hosting
- Enterprise SSO (Azure AD B2C, OIDC, LDAP/AD)
- Read-only sync — no service accounts
- Uses the engineer's existing session, not separate credentials
Need the full security and deployment detail? Just ask.
What QRA does today
- Quality — every requirement scored against your standards
- Consistency — checked across the requirement set
- Conformity — EARS, INCOSE, and your own rules
- Similarity — near-duplicate and overlap detection
Scoped to requirements today — the roadmap widens from there.
Built by engineers who know what "audit-ready" means.
QRA's quality engine, QWL, is purpose-built for the linguistic analysis regulated requirements demand, not a wrapper on a general-purpose model. The company was founded on requirements-quality research and has spent years earning the trust of aerospace, defense, medical, energy, and automotive engineering teams.
QRA is led by co-founder and CEO Jordan Kyriakidis, Ph.D., a quantum theorist with nearly 20 years leading high-performance research and engineering teams, alongside leadership spanning engineering, operations, and sales. The team works from first principles: understand the why, break the problem into its building blocks, and reassemble them in new ways.
Meet the team →See the QRA Platform on your own requirements.
Book a live walkthrough, matched to your standards and your tools.
Where Continuous Engineering Assurance goes next: new capabilities and the Requirements Operating Model as it releases, plus the chance to shape the roadmap, every two weeks. Not ready to talk? Start here.
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