Artificial intelligence
AI designed for your use case, not a generic chatbot.
We build algorithms and models dedicated to your specific problem and deploy them where it makes sense: on European cloud or on dedicated hardware inside your company.
Custom algorithms
Computer vision, demand forecasting, anomaly detection, document classification or RAG assistants trained on your own data.
Dell and NVIDIA on your premises
When data cannot leave or latency matters, we size, install and operate Dell servers with NVIDIA GPUs inside your company. And when the cloud is the better option, we deploy on European cloud.
Operations and MLOps
Data pipelines, model versioning, accuracy and cost monitoring, retraining and automation of the processes around the model.
Dell · NVIDIA
Dedicated hardware: Dell with NVIDIA GPUs
When data must stay inside your company, we build the full stack: Dell servers or workstations with NVIDIA GPUs, sized for your model, installed on your premises and operated by us. You keep the AI in-house; we keep it in shape.
- Sized for the model and the inference volume
- Installation, networking and backups
- Monitoring, updates and support
- No dependency on cloud providers
From data to model in production
Every model is trained on your data and runs where it makes sense: on European cloud or on your own hardware.
- Your dataERP · docs · sensors
- Custom modelTrained for your case
- European cloudOVH · Hetzner · AWSDedicated hardwareDell · NVIDIA · on premises
- APIPlugged into your systems
- MLOpsAccuracy and costs
How we work
Use case and data
We define the problem, the available data and the metric that defines success.
Proof of concept
A working model on your real data within weeks, with measurable results.
Implementation
Integration with your systems, API, infrastructure and deployment in the chosen environment.
Operations
Monitoring, retraining and inference cost control.
Custom projects
Every AI project is different: it depends on the use case, the data and where it needs to run. We look at your situation with no commitment and send you a fixed-price proposal.
Frequently asked questions
What kind of problems do you solve with AI?
Concrete cases with your own data: visual inspection and quality control, demand or maintenance forecasting, anomaly detection, document classification and information extraction, assistants that answer from internal documentation (RAG) and process optimisation. If a generic model does it better, we tell you.
When does dedicated hardware make more sense than the cloud?
When data cannot leave your company, when latency is critical (factory floor, real-time vision), or when inference volume makes the cloud more expensive. We work with Dell servers and workstations equipped with NVIDIA GPUs: we size them for your workload, install them and operate them on your premises.
Is my data used to train third-party models?
No. We work with open models running on your infrastructure or with providers that don't train on your data, always in the EU. We document the data flow for GDPR.
How much does an AI project cost?
It depends on the use case, the volume and quality of the data and the deployment environment. After a first no-commitment conversation we send you a fixed-price proposal by phase.
Do you also do process automation?
Yes. Automating lead capture, replies and internal processes with n8n and language models is still part of the service, usually as a layer around the custom model or as a standalone project.
Other services
Prototype to production
We turn the tool you built with AI into a secure, stable system your team or your customers can use.
DiscoverWeb development
Fast websites and platforms, easy to manage and built to rank on Google and in AI search engines.
DiscoverCustom software
Applications, ERP and marketplace integrations, infrastructure and independent technical consulting.
DiscoverShall we talk about your project?
Tell us what you have and what you want to achieve. We reply within 24 working hours.