Your business expertise becomes a living organisational memory. This memory produces governed applications, operated by AI agents under your teams' supervision, that you own.
It's not a lack of ambition. Manufacturers invest, projects launch — but results don't follow. The gap between intention and real production reveals three recurring obstacles.
The 3 recurring obstacles
¹ BCG Platinion — Why 70% of Transformations Miss the Mark
² Rockwell Automation — 10th Annual State of Smart Manufacturing Report
The agentic workshop
The workshop where business teams build agents, under IT governance. Map use cases, frame living specs, drive the proprietary Knowledge Graph.
The deployment runtime
Build, ship, monitor. From blueprint to living application in one click — with native bindings to your existing ERP, MES, CMMS. Production, not demo.
The measurement layer
Real-time KPIs, user satisfaction, token economy, execution traces. To drive the quality and cost of each agent.
The shared accelerator
Industrial business templates ready to use — supply chain, quality, maintenance, CMMS, HR. Sectoral foundations are already there, you build on top.
industrial clients and regulated professions supported
users served daily by MarIAnne in production
from brief to first agent in production
Industry, notaries, finance — they've taken their AI agents to production
Each layer is observable, governable, replaceable — and belongs to you. Your business queries flow down the stack; accumulated knowledge flows back into your Knowledge Graph. No black box, no vendor lock-in.
A 2-minute guided tour: from domain to qualified use case, from blueprint to Forge deployment, all the way to the living agent and evaluation loop. Everything in a single environment.
GenieArtifact is your AI co-author. Brief it on your industrial use case, attach your business documents, guide the AI step by step — every interaction capitalises into your Knowledge Graph.
Forge maps your business entities and deploys to production. Build, ship, supervision — with native bindings to your existing ERPs, MES, CMMS, PLM. Health, logs, ArgoCD in a single interface. Production, not demo.
Multi-format ingestion (PDF, DOCX, PPTX, XLSX), indexed in a Neo4j Knowledge Graph per organisation. Every project enriches the graph — the next starts 3× faster. Your defensive moat, not a simple RAG.
👍 / 👎 on every response, satisfaction dashboard, escalation rate, out-of-scope. Token economy view per organisation, domain, use case. You know what works, what costs, and what needs improving.
IT governs. Business builds. RBAC, logging, access control — native, not an add-on module. Aligned with AI Act 2026. Compliance by design, not a checklist at the end of the project.
We give the code. We sell governed production. The generated code is yours — delivered in your repository, deployable on your infrastructure, auditable at any time. No lock-in, no hidden dependencies.
A brief, an audit, an HR or supply chain document — the platform structures the use case, generates the solution, deploys on Forge. You validate, IT governs.
“This system transforms our empirical knowledge into intelligence accessible in real time.”
Delphine Cudelou — Managing Director, Chambre des Notaires de la Cour d'appel de Caen
requests handled without human intervention
Sophie Marchand, Groupe Argos Industries
average deployment time — from brief to first agent
Karim Belhadj, Cabinet Novalliance
notaries supported daily — agent in production
Chambre des Notaires de la Cour d'appel de Caen
IT governs. Business teams build the agents. That's the GenieFactory model.
Profile-based RBAC, complete audit trail, super-admin controls and traceable token economy: governance is a substrate, not a module. Every action is logged and timestamped. Your IT teams control access, roles and data without friction for business users. GuardedRoute protects every UI component, while server middleware controls every API call. Deploy with confidence — your data stays within your perimeter.
GenieFactory classifies each use case according to the EU AI Act risk taxonomy and automatically generates the associated technical documentation. The AI usage register is kept up to date in real time. Transparency obligations are met by design: every AI response is traced, timestamped, and linked to its user. Human oversight is integrated via pending writes — no irreversible action without validation. User rights (access, rectification, deletion) are managed natively.
Microsoft rents you a workshop in their ecosystem. We give you a platform you own — with compliance built in.
More knowledge in the KG → better specs → better apps → usage data that re-feeds the KG. That's the flywheel that makes each subsequent project 3× faster — and that protects your transformation from new entrants.
30 minutes to identify your first industrial use case, write the ROI in one sentence and lay the foundations of your Knowledge Graph. Live demo included — no slides.
Method, field experience, compliance — what we learn industrialising AI with our clients.
Comparatif Claude (Anthropic) et GPT (OpenAI) pour des cas d'usage B2B : qualité, fiabilité, coûts, confidentialité, écosystème. Avec le principe clé : le bon choix dépend du cas d'usage, pas d'une préférence d'éditeur.
Passer d'un chatbot Claude à un agent Claude industrialisé en production : architecture, Knowledge Graph, garde-fous, supervision humaine, conformité AI Act. La méthode GenieFactory.
Votre stack IA survivrait-elle à un changement de fournisseur ? Principes concrets pour garder le contrôle de vos données, votre Knowledge Graph et vos applications IA.
