These figures are the NCE architectural targets — built on 6 months of development and real-sector testing. Not yet production results, because there is no production yet. Said clearly.
Defined from the outset — measured and refined on each pilot deployment.
Not 18 months of IT project. Twelve weeks to go from signed brief to first results on your real use case. Before/after measurement, executive committee presentation in week 12.
RAG approaches plateau between 30 and 45% error on dense regulatory corpus. The KG + NCE architecture structurally targets the operational threshold of < 5% — through 14 reliability dimensions continuously measured.
No 18-month IT project before the first result. The NCE infrastructure — knowledge graph, vector engine, interface — is deployed in your infrastructure in 3 business days. Connection to your existing document sources included.
100% on-premise. No call to an external service. No cloud dependency. The engine, the network, the interface and the models all live within your perimeter — physical, virtualised or accredited enclave.
The < 5% score is the structural target of the NCE architecture — not a marketing promise. It is carried by 14 reliability dimensions continuously measured, an entity whitelist, out-of-domain refusal, and fidelity validation of every answer.
Measured on real phytosanitary corpus (2023–2024) · formal qualification in progress
Reference question sets with expected answers, replayed at each NCE version on the same corpus. No cherry-picking — same scope, same evaluators.
Every version is compared to the previous one on the same questions. KPIs: average score, pipeline confidence, refusal rate, contradictions detected. No figures published without this protocol.
All test sets are documented. Provided under NDA for clients in evaluation. The measurement methodology is part of the delivery contract.
No generic promises. 30-minute diagnostic: we assess what KnowWeave can do on YOUR data.