💬NLP
Chatbots & agents
RAG on your documents, memory, tools. Assistants that answer accurately and trigger real actions.
// AI engineering studio · from idea to production
You have an idea. We compile it into an intelligent application.
Chatbots, RAG on your data, vision, NLP, predictive models. We design, build and ship to production — clean, tested, documented code.
- ✓ Code delivered: you keep ownership
- ✓ MVP in a few weeks
- ✓ Built & developed in France
Chatbots/RAG/Computer vision/NLP/Predictive models/Agents & tools/API & deployment/Evaluation & guardrails/Chatbots/RAG/Computer vision/NLP/Predictive models/
// what we build
AI applications, delivered and deployed.
From idea to deployment. We own the entire technical stack.
👁️Vision
Computer vision
Detection, OCR, document analysis, quality control. Models trained on your own data.
🔮ML
Predictive AI
Forecasting, anomaly detection, predictive maintenance from your historical data.
🔗DevOps
API & deployment
We industrialize: APIs, containers, cloud. Your model goes from demo to production.
// AI use case generator
Where to start with AI?
Pick your industry and business function — get the 3 most relevant AI use cases for your context instantly, with project type, estimated impact and a direct link to the budget estimator.
// your industry
// your business function
01Chatbot / RAG
Assistant SAV intelligent
Chatbot RAG sur catalogue pièces + historique tickets. Répond aux techniciens terrain 24h/24 sans solliciter le back-office.
Estimated impact−60 % tickets niveau 1
Estimate this project →02AI Agent
Routage automatique réclamations
Agent qui lit l'email ou le formulaire, identifie le problème, crée le ticket et affecte au bon responsable.
Estimated impact8 h → 30 min par ticket
Estimate this project →03AI Vision
OCR ordres de réparation
Vision par ordinateur extrait les données des fiches de réparation papier pour alimentation automatique du GMAO.
Estimated impact0 saisie manuelle
Estimate this project →// how we work
Delivery in iterations, never a black-box tunnel.
- 01
⚡ Framing
We map your use case, data and constraints, then define a realistic scope and clear success criteria.
- 02
🧪 Prototype
A working proof of concept on your real data within days, so we validate the value before going further.
- 03
🛠️ Development
We build the production application: clean, tested and documented code, reviewed at every iteration.
- 04
🚀 Deployment
We ship to production, monitor quality and hand over the code and documentation.
// tech stack
The tools we actually use.
No black box: we pick the stack that fits your project, and you walk away with the code.
ModelsGPT, Claude, Llama, Mistral
FrameworksPyTorch · TensorFlow · LangChain
RAG & vectorspgvector · FAISS · embeddings
API & servingFastAPI · Node · streaming
DeploymentDocker · K8s · AWS/GCP/Azure
Qualitytests · evals · guardrails
What you get at the end
📦 Complete source code📓 Technical documentation🧪 Test & evaluation suite🚀 Production deployment🔑 You keep ownership
// budget & timeline estimator
How much will your AI project cost?
Indicative ranges based on project type, data readiness and deployment scope. No commitment, no sign-up.
// estimate
Your indicative range
Budget
8 – 18€k
Timeline
4 – 8weeks
💬 Chatbot / RAG
Data ready
MVP
Indicative range, excl. tax. The free scoping call refines this estimate based on your exact context.
Refine with an expert →// return on investment simulator
Will your AI project pay for itself?
Estimate in 30 seconds the annual savings, payback period and 3-year value — benchmarked against the indicative budget above.
How many people will use this AI tool on a daily basis?
Gross loaded salary ÷ annual working hours. Include employer contributions.
Time spent on the task the AI will handle: search, data entry, analysis, processing…
// return on investment
Your estimated ROI
Annual savings47 k€10 employees × 45 €/h × 5 h/wk × 52 × 40%
Payback period3 monthsfrom production launch
Net value over 3 years127 k€cumulative savings − project budget
Project budget (estimator above)
8 – 18 k€Adjust the project type above to refine.Indicative estimate based on the median budget value. The free scoping call refines scope and actual ROI based on your exact context.
Validate this ROI with an expert →// frequently asked questions
Before you start, you want to know.
How long does a project take?
It depends on scope, but a usable MVP usually ships within a few weeks. We work in short iterations so you see progress continuously.
Do I own the code?
Yes. You keep full ownership of the source code, models and documentation we produce.
Is AI always the right answer?
No, and we'll tell you honestly. During the free framing call we assess whether AI genuinely solves your problem — sometimes a simpler solution is better.
Can you work with our existing data and tools?
Yes. We build RAG on your documents, integrate your APIs and deploy into your existing infrastructure.
How do you handle confidentiality?
Everything stays confidential and we can sign an NDA before discussing your project.
// let's talk about your project
Describe your idea. We come back with a concrete approach.
Free, no-commitment scoping. We tell you honestly whether AI is the right answer — or not.
- ✓ Fast reply, from an engineer
- ✓ Confidential · NDA available