Language models, machine learning and vision systems — designed, industrialised and deployed on your infrastructure: on-prem, sovereign cloud or hybrid. Measured performance, preserved confidentiality.
Six practices covering the full cycle — from strategic scoping to operating a private LLM in production.
Leverage GPT-5, Claude 4 and open-weights models to build assistants, RAG systems and conversational agents tailored to your business.
Predictive models and intelligent systems through supervised, unsupervised and reinforcement learning — from data to production.
Strategic information extraction from text — sentiment analysis, entity recognition, language understanding.
Image recognition, object detection and real-time video analysis — to automate inspection, surveillance and OCR.
Scoping, prioritisation, technology choices and roadmaps — guidance from senior engineers, no hand-waving.
MLOps, LLMOps and private LLM hosting — to keep control of your models, costs and data.
Share your context: use case, sovereignty constraints, production horizon. An AI specialist gets back to you within 24 working hours with a first argued reading.
Discuss your project