AI can now build software in hours. Your specification is the bottleneck.
A vague requirement used to cost days of rework. Now an AI builder implements the wrong thing in an afternoon — silently. REQQA systematically analyses your requirements and user stories for defects, gaps and ambiguities before a line of code is written, then manages the handover to human or AI builders.
Is coding a solved problem? The bottleneck just moved. Here's where.
AI-assisted development makes weak specifications more expensive, not less.
Requirements are written quickly, reviewed informally if at all, and handed over with an optimistic "that should be clear enough." It usually isn't — and the faster code gets built, the faster that costs you.
AI resolves ambiguity silently
A human developer asks a clarifying question. An AI builder makes a plausible guess — which may be completely wrong — and ships it with confidence.
Review doesn't scale
Sustaining systematic coverage — edge cases, error conditions, non-functional concerns — across hundreds of requirements is beyond informal human review under time pressure.
"Good enough" no longer is
When development takes hours instead of weeks, the bar for specification quality must rise at the same rate as development speed. Most teams' processes haven't.
A continuous quality loop — from mission statement to accepted build.
REQQA is analytical first, generative second. It doesn't just draft content — it applies a repeatable, multi-dimensional analytical framework to every specification, proposes concrete reviewable fixes, and measures whether quality is converging.
Enter the lifecycle at any point — start from a mission statement or import existing requirements and analyse immediately. The handover loop is optional.
REQQA sits between the people who own the requirements and whoever builds — an outsourced team, an in-house team, or an AI agent. Every exchange is auditable and versioned.
Analyse
Eleven complementary dimensions per requirement — definitions, goals, interfaces, rules, entities, conditions, boundaries, quality attributes, ambiguity, missing elements. Seven-step DeFOSPAM analysis for every Gherkin user story. Every finding becomes a structured, tracked issue with severity and recommendation.
Improve
Synthesis turns accumulated issues into concrete change proposals — word-level diffs you accept or reject per group. Convergence tracking shows whether each specification is actually getting better across cycles, or stalling.
Hand over
Scope a release, snapshot it immutably, and let a builder negotiate a versioned build plan through a public API. Mid-build feedback flows back into issue management; as-built records close the loop at acceptance. The builder can be an AI agent — but the discipline pays off just as much for an offshore supplier, a contractor, or your own team.
From an analysed mission to reviewable requirements in minutes, not weeks.
Once your mission statement has been through the analyse–improve loop, REQQA can generate a full first-cut requirements set from it — and Gherkin user stories from the identified features, with syntax validation, glossary terms and traceability built in. The dependency is deliberate: generation is only as good as the mission it grows from. Get the mission right and weeks of drafting effort — and elapsed time — collapse into a review exercise.
And because each Gherkin story examples a feature in use, stories convert directly into automated test cases — better requirements make automated test generation dramatically more reliable.
Standards aren't overhead. They're guard rails — and they make your requirements better.
REQQA can template your mission and requirements directly from the standards and regulatory frameworks you must adhere to. The AI benefits enormously from the clarity, organisation and depth those documents demand — and so does everyone downstream. ISO 29148, the software requirements specification standard, is implemented and ready to use today; if you must follow a different standard, we build a template for it within days — it's just data.
Compliance built into the specification
Where requirements must adhere to industry standards or regulation, REQQA derives the structure of your mission and requirements from those source documents — so conformance is designed in from the first draft, not audited in afterwards.
Formal templates without the formality tax
Generate against a formal template such as ISO 29148, and the AI produces the "extra" content a rigorous specification requires — with no extra human input. Teams without a strong track record of writing excellent requirements get the discipline for free.
Standardised structure, predictable content
Templated specifications mean every requirement arrives in a consistent shape, with consistent depth. Better for reviewers, better for estimators — and markedly better for the build agent, human or AI.
The audit trail comes free
Every requirement, story and change is version-tracked, and every change is approved by a human. That's the traceability and accountability record most regulatory frameworks demand — produced as a by-product of working, not as a separate compliance exercise.
Example guard rails: healthcare, med-tech and medical-device frameworks — where we work with a specialist partner in Ireland — and the mandated requirements templates common across financial services and fintech.
We run our own product through its own discipline — daily.
Since February 2026 the REQQA codebase has been written and managed entirely by Claude Code, working as a pair partner — humans make the key decisions and approve every change. Since March, every enhancement to REQQA is captured in REQQA itself: ideated in conversation with Claude, drafted as requirements, posted to the platform, then analysed, improved, scoped and handed over to build through the full lifecycle.
Every code release since May 2026 — six and counting — has shipped through the handover loop itself: requirements defined and approved in REQQA, build plans submitted by Claude Code and approved by a human, all coordinated through REQQA's public API. The releases are the validation.
Production trials opened April 2026. Multi-tenant, deployed, shipping regularly — with a per-release SBOM (CycloneDX 1.5) supporting EU CRA and US EO 14028 due-diligence.
Three ways in.
Trial REQQA on your specifications
For organisations building medium-to-large systems. Import your existing requirements and see what systematic analysis finds — or explore the full workflow through a catalogue of realistic training applications, clean or with seeded defects. Production trials are open.
Request a trial →Deliver REQQA-powered engagements
We believe this market is consultancy-led. If you provide testing, QA, or requirements analysis and management services, REQQA gives you a repeatable, evidence-producing methodology to build engagements around. We're actively seeking early partners to shape the offering with us.
Partner enquiry →Back the first year
We're raising a pre-seed round from angel investors to fund our first year of operation: product development, partner-led go-to-market, and the video and podcast programme that will define the specification-quality category. The product works today — we're funding the market around it.
Investor enquiry →Product overviews and market vision.
Short product walkthroughs, alongside longer talks on why specification quality will define the AI era of software.
The first videos are being recorded now. They'll appear here as soon as they're published.
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Thirty years of asking "how would we test that requirement?"
REQQA is built on four decades of software management and QA consulting. Its founder published papers on requirements and requirements testing thirty years ago, and fifteen years ago created the methodology for testing Gherkin stories that became DeFOSPAM — now implemented in the product and extended to cover requirements themselves.
This isn't a prompt wrapped in a UI. It's a proven analytical discipline, made repeatable and fast by AI.
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See what REQQA finds in your specifications.
A demo takes thirty minutes — bring a requirement you think is finished.