Use cases Method Sectors Offer Platform Neural Context Engine (NCE) About Book a consultation
FR | EN
Neural Context Engine (NCE) · v2.4 · regulated industry · 100% on-premise

Your corporate archives,
accessible in seconds.

Ask a question to your 20 years of archives. Get a reliable answer with its exact source — without exposing a single piece of data outside your infrastructure.

Book 30 minutes See the results
12 wks from decision to results
100 % every answer traced to its source
0 data exposed outside infrastructure
engine · intelligence

NCE
Neural Context Engine

Our proprietary engine. The intelligence of KnowWeave.

◆ Business schema & semantic network Before ingesting the first document, the NCE defines a business schema specific to your sector: which entities matter, how they relate, what vocabulary is yours. Not a generic model.
◆ Traceable query Every answer cites its exact source — paragraph, document, date. Admissible in inspection. Auditable by your CISO.
◆ Natively on-premise Not an option. Zero outbound network calls. Deployed in your infrastructure — physical, virtualised or authorised enclave.
◆ Zero structural hallucination The NCE does not generate — it queries. Every answer is anchored in the Knowledge Graph. No probabilism: verifiable knowledge.
situations · 5 profiles

Do you recognise yourself in one of these situations?

We work with five decision-maker profiles in regulated industry. Each has a specific challenge — and a specific answer.

CIO · Large enterprise

Your AI projects are being blocked by your CISO or DPO?

Every cloud solution puts you at risk of a veto. Projects stall while your executive committee awaits results. You may have already seen a pilot stop 6 months after launch.

your answer
R&D Director · Regulated mid-size company

You've already invested in an AI pilot that didn't deliver on its promises?

Budget spent, months lost, results too unreliable for production. Your CEO is asking where things stand. You're convinced it can work — just not with the same approach.

your answer
Regulatory Affairs

Every AI answer puts your professional liability at stake?

Without traceability down to the source, you cannot include an AI answer in an inspection file. You've declined solutions — not out of conservatism, but out of rigour.

your answer
Programme Director · Aerospace / Defence

30 years of documentation. Who still holds the knowledge when the expert retires?

The engineers who designed phase 1 are approaching retirement. What they know is in no accessible document. Every impact analysis takes months to rediscover decisions from 1998. The cloud is ruled out from the start.

your answer
CEO · Industrial mid-size company

Your competitors are investing in AI. You don't know where to start?

No army of in-house engineers. Controlled budget. You want a measurable result quickly, not a multi-year project. And you need to know what it's really worth before committing.

your answer
method · 3 steps

How it works

Not a generic demo. Three clear steps, each with its deliverable, its duration and its GO/NO-GO decision.

step / 01 · ingestion · weeks 1–2

Your documents become nodes

PDF, DOCX, emails, CAD/ERP exports — each document is analysed, parsed, normalised and transformed into a structured entity in the Knowledge Graph.

40+ formats · multilingual
step / 02 · corpus · weeks 3–6

The NCE builds the memory

The Neural Context Engine extracts relationships between entities. It models standards, cross-references, decisions, sources. A semantic map of your domain.

traceable · auditable
step / 03 · query · weeks 7–12

Ask a question. Get the answer + its source

Natural language input. Output: precise answer, cited source paragraphs, dates, context. Admissible in inspection. < 3 seconds per query.

source cited · context provided
See the full method
results · production

What our clients measure

Four metrics. Measured before/after, on the same questions, by independent evaluators.

speed · time-to-value 12 wks from decision to first measurable results on your real use case
accuracy · error rate >95 % accuracy on verified regulatory corpora vs 60–70% with classic RAG
productivity · consolidation 3 days to consolidate a file that takes 6 weeks MAA · MHRA · EMA corpus
sovereignty · exposure 0 data exposed outside your infrastructure 100% on-premise · zero external API
See detailed results
comparison

KnowWeave vs Classic RAG vs Human alone

Why a specialised Knowledge Graph is different. For regulatory corpora.

Criterion KnowWeave NCE Classic RAG Human alone
Source traceability ◆ Always ○ Partial ◆ But slow
On-premise deployment ◆ Native ✕ Cloud often required ◆ By nature
Response time < 3 sec < 5 sec Days · weeks
Time to deploy 12 weeks 3 – 12 months —
Hallucination rate < 5 % 15 – 40 % 0 %
Volume scalability ◆ Yes ◆ Yes ✕ No
Marginal cost per query Low Medium High
Admissible in inspection ◆ Yes ✕ Rarely ◆ Yes
sectors · industries

Built for regulated industry

Six sectors, each with its corpus, its standards, its Knowledge Graph.

Aerospace EASA · DO-178C · ITAR Your key expert retires in 6 months. 30 years of undocumented decisions. NCE captures them before they disappear.
Pharma · Biotech MHRA · EMA · GxP · ICH MHRA inspection announced in 3 weeks. 12,000 documents to correlate. PSUR answers ready in 2 days — source cited, admissible.
Nuclear ONR · IRSN · RCC-M Ten-year review: requirements, feedback, deviations since commissioning. NCE retrieves the design decision in 2 seconds.
Agrochemicals ANSES · ECHA · REACH MAA renewal: 200 references to consolidate. KnowWeave reduces 6 weeks of preparation to 3 days — every study traced.
Automotive UNECE · ISO 26262 · IATF Potential recall: 8 years of tests, 3 sites, 2 generations of parts. NCE identifies affected batches and the original decision in < 1h.
Chemistry REACH · CLP · Seveso Substance classified SVHC: which finished products? which updated SDS? which clients to alert? One NCE query. One complete answer.
See corpus by sector
faq · 6 questions

Your most frequently asked questions

KnowWeave NCE deploys 100% within your infrastructure — physical, virtualised or authorised enclave. No outbound calls are required for operation. A network audit is delivered with the solution. Your CISO can block all outbound network traffic from the container, and the system continues to function.
A RAG relies on "proximal" vector search — it finds paragraphs similar to the question, without understanding relationships. The NCE starts by defining a business schema specific to your sector: entities that matter (standards, components, decisions, sources), their relationships, their hierarchies. It is this schema that structures the network and produces traceable answers, without structural hallucination, including on multi-hop questions.
Most of our deployments are under strict NDA (regulated industry requires it). We can share anonymised sector references under mutual NDA from the first exchange. For defence programmes, we work via the modalities of their authorised contractors.
Fixed fee, transparent, communicated after a 30-minute diagnostic. The objective of the pilot is to prove ROI on your real case before any larger commitment. See the offer page for details.
40+ formats: PDF (including scanned via OCR), DOCX, XLSX, PPTX, MSG, EML, native CAD (CATIA, NX), SAP/ERP exports, Confluence, SharePoint, Notion. Multilingual (FR, EN, DE by default, others on request). New formats are integrated within days.
Yes. The pilot systematically includes on-site sessions (kickoff, mid-point, final presentation). In production, we offer monthly follow-up and remain available. Not a one-shot provider who disappears after delivery — that's in the contract.
first step

Book 30 minutes.
Tell us about your case.

No generic demo. We prepare each exchange based on your sector, your problem and your regulatory context.

Book a consultation Download the white paper
no commitment ◆ response within 24h