In complex systems, success is not defined at kickoff — it is validated through execution. NeuroQA provides the intelligence layer that makes CIB transformation measurable, provable, and reliable.
"Many failed transformations are not failures of strategy. They are failures of assurance."
For fifteen years, the same scene repeated across Tier 1 and Tier 2 banks. Ambition. Executive sponsorship. Large budgets. Then, as go-live approached — risks became manageable on paper. Programmes moved forward carrying more uncertainty than leadership realised.
The consequence: war rooms, regulatory scrutiny, remediation budgets. Not a technology failure. A knowledge failure.
Read the full thesisTest scenarios that pass UAT but fail in production — never covering real market conditions, booking conventions, or edge-case lifecycle events specific to the bank's configuration.
Every programme creates institutional knowledge. When the engagement ends, it walks out the door. No structured handover, no reusable asset, no organisational memory.
80%+ of production defects trace back to specifications — misinterpreted, under-specified, or lost in translation between functional and technical teams.
A two-layer knowledge graph encoding 15+ years of capital markets expertise — products, lifecycle events, regulatory rules, booking conventions. Every generated test case is grounded in and traceable to this graph. Hover nodes to explore. Click a domain to switch.
Five compounding layers — each independently valuable, together they form a moat that grows with every engagement.
A two-layer CIB Knowledge Graph. Every engagement enriches it. Unlike consulting knowledge that walks out the door, it stays, grows, and transfers across engagements.
RAG-grounded generation: 590+ scenarios per domain, 90%+ accuracy, <5% hallucination. Every test case traceable to a KG node and source document.
Vendor-agnostic API. Murex today. Calypso, Finastra, SBS, Temenos, Avaloq, ION, FIS next. One intelligence layer, any core banking system.
Unbroken audit trail from spec to result. DORA, Basel 3.1, EMIR Refit answered in seconds. Compliance becomes a product feature, not a project cost.
A new UMR phase. A Murex patch. A CLS rule update. The Knowledge Graph shows what breaks — before it breaks in production, not after.
CIB products, lifecycle events, booking conventions, regulatory rules. This knowledge takes 15 years to accumulate. It cannot be hired or acquired. It must be lived.
For fifteen years, I watched the same scene repeat across BNP Paribas, Société Générale, Natixis, and UBS. A major transformation programme. Executive sponsorship. Ambitious timelines. And then — in the months before go-live — the quiet unravelling.
Risks that were flagged but not resolved. Test scenarios that passed UAT but broke in production. Knowledge that lived in a consultant's head and walked out the door at the end of the engagement.
NeuroQA exists to fix this. Not by adding another QA tool to the stack. By encoding the knowledge itself.
CIBs spend €50–200M on major system transformations. Of that, roughly 15–25% goes to testing. Yet the single most common cause of programme failure is not technical complexity — it is inadequate test coverage of domain-specific scenarios.
The gap is structural. Manual test writing requires deep domain expertise. That expertise is scarce, expensive, and inconsistently applied. The result: test suites that are wide but shallow. Coverage metrics that look sound. Production defects that don't.
The instinct is to apply a general-purpose LLM. It fails — not because LLMs are ineffective at text generation, but because domain grounding is the hard part.
A general model does not know that a USD/JPY forward settling before the Tokyo cut-off requires a specific Murex workflow. It does not know that CLS eligibility rules differ by currency pair. It cannot determine what breaks in a specific bank's configuration when a UMR phase changes.
This knowledge cannot be prompted into existence. It must be encoded — from 15+ years of real CIB delivery, structured into a knowledge graph that grounds every generated test case in verifiable, traceable domain facts.
NeuroQA delivers five compounding layers of value. Each layer is independently defensible. Together, they create a structural moat that compounds with every engagement.
Knowledge retention. Every domain insight encoded. Never walks out the door again.
Coverage at scale. 590+ domain-aware scenarios per asset class, generated in minutes, not weeks.
Portability. Vendor-agnostic. Murex today, any core banking system tomorrow.
Built-in compliance. Spec → KG node → test case → result. Unbroken, auditable chain.
Change intelligence. Know what breaks before it breaks. Not after.
Testing is the entry point — the use case that forces knowledge to be structured and verified. But the Knowledge Graph becomes the institutional memory of the CIB transformation programme.
Over time, it becomes the authoritative source for regulatory reporting, change impact analysis, onboarding acceleration, and vendor benchmarking. The more it is used, the more valuable it becomes. That is the compounding moat.
Three forces are converging. First, the regulatory environment — DORA, Basel 3.1, EMIR Refit — is raising the bar for traceability and assurance. Second, the CIB technology stack is in the middle of a once-in-a-decade migration wave. Third, foundation model capability has crossed the threshold where RAG-grounded generation is production-viable.
The window for first-mover advantage is 18–24 months. The player who owns the CIB Knowledge Graph owns the category. We are building it now.
We are looking for four types of partners. A lighthouse CIB — a named Tier 1 or Tier 2 bank with an active Murex programme, willing to co-build and co-publish. A technical partner — cloud and infrastructure capability at financial-grade scale. A GTM ally — SI or consulting firm with CIB access and appetite for a joint offering. And strategic capital — seed or strategic round from an investor who understands the structural moat.
The CIB testing market has no vertical AI product, no structured knowledge layer, no vendor-neutral intelligence platform. The barrier to entry is not technology — it is domain expertise.
Work with us →15+ years delivering CIB transformations across Tier 1 and Tier 2 banks. The knowledge encoded in NeuroQA is not synthesised from documents — it is built from lived delivery experience across FX, Rates, Credit, and Equity.
Full background →Seed capital, technical partnership, GTM alliance, or lighthouse client engagement. Four tracks, one conversation. Direct with the founder — no intermediaries.
Work with us →NeuroQA is in active development. Early-access partners get direct input into the product roadmap and preferred commercial terms for the MVP engagement.
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