Native multilingual & audio transcription
Native ingestion FR / EN / DE / IT / ES. Audio transcription (meetings, internal podcasts) with speaker attribution. First version with 3 defence clients.
in developmentKnowWeave is not an AI laboratory project. It is a precise answer to a precise pain point — built by four complementary profiles who have experienced, from the inside, the same problems you face.
Cybersecurity, data science, development and commercial — KnowWeave was born from the meeting of complementary skills around a shared observation: regulated industry deserves better than generic RAG.
Guardian of platform sovereignty and containment. He designs the on-premise architecture and the security mechanisms that ensure your data never leaves your infrastructure — CISO-approved.
Architect of the ingestion pipelines and the NCE AI core. She translates your document corpora into structured knowledge networks, sector by sector — with the rigour of a data scientist and the precision of an engineer.
He understands your problems before talking about the product. Preferred contact for CIOs, regulatory departments and executive directors — with domain vocabulary, not technology jargon. Your first point of contact at KnowWeave.
The originator of the project. 15 years leading IT projects in regulated industry — chemistry, pharma, aeronautics. He lived the pain of unmanageable archives from the inside. KnowWeave is the answer he wished he had.
"The knowledge was there — it just wasn't accessible."
Two years between the initial intuition and the first production version. Each step triggered by a client observation.
Document capitalisation mission at an agrochemical client. Finding: 25 years of archives accessible only by full-text search. RAG solutions tested at the time hallucinate at 40%. No available solution is acceptable.
Construction of a dedicated domain semantic network, with entity extraction specialised by regulatory domain. First test on 800 documents: 92% precision against 58% for the reference RAG.
Decision to capitalise on the approach and transform it into a product. Brand system v0.1. First name for the engine: NCE — Neural Context Engine.
Production deployment at the agrochemical client on 2,800 documents and 28 years of archives. Marketing authorisation dossier consolidation reduced from 6 weeks to 3 days. Validated by external evaluators.
Redesign of the semantic engine to support multiple regulatory domains (pharma, nuclear, aerospace). Industrialisation of connectors. GxP compliance dossier delivered.
Visual identity, website, commercial methodology. You are here. 6 clients in production, 9 pilots in progress. The promise: 12 weeks, >95% accuracy, 0 data leak.
No announcements for effect. Three structural axes for upcoming releases, communicated as they are delivered.
Native ingestion FR / EN / DE / IT / ES. Audio transcription (meetings, internal podcasts) with speaker attribution. First version with 3 defence clients.
in developmentCompare network state between two dates. Track the evolution of a standard. Identify tacit decisions that modify doctrine without modifying documents.
research in progressBeyond Q&A: long conversations maintaining network context, proactive suggestions of inconsistencies, assisted report generation.
plannedA faster but non-traceable answer does not interest us. Every output must be defensible.
100% on-premise. Not as an option, not as an add-on. It is the baseline, not the luxury.
If your case is not a fit, we tell you. We prefer to lose a contract than to disappoint you.
Our figures are measured and auditable. No marketing slide with invented percentages.
Not a one-shot supplier. The contract says it explicitly: we accompany you over time.
Mutual NDA proposed from the first contact. Your data serves nothing other than you.
30 minutes. Your brief. Our reading. The next step, you decide.