AI infrastructure
GPU, vector storage, training/inference pipelines — on-prem or cloud.
Discover →Our approach
Useful artificial intelligence, not a gadget.
AI only has value if it solves a real business problem: fewer repetitive tasks, faster answers, better data visibility — measurable from the first months.
Every project starts from the use case: available data, lean architecture, industrialization, and long-term supervision.
Our domains
Three building blocks for production AI.
Infrastructure, RAG & agents, embedded vision.
RAG & agents
Knowledge bases, MCP agents and answer traceability.
Discover →Vision & edge AI
Embedded models for inspection, detection, and real-time analysis.
Discover →Journeys
From data to supervised agent.
Four steps to industrialize AI.
01
Collection & ingestion
Connectors, cleansing, and governance of inbound data.
02
Vector indexing
Chunking, embeddings, and a store suited to volume / latency.
03
Agent orchestration
Tool-enabled agents (MCP), guardrails and traceability.
04
Monitoring & MLOps
Drift, inference costs and continuous improvement.
Why RDMC
What industrialized AI changes.
AI demo
With RDMC
Objective
Wow effect
Measurable use case
Data
Out of context
Grounded RAG on your IT system
Control
Black box
Traceability & human-in-the-loop
Hosting
SaaS only
On-prem / edge / hybrid
Next
Dead POC
MLOps and MCO
AI services
Ten offerings for useful, governed and industrializable AI.
From intelligent assistants to scoping workshops and Proof of Value (PoV), a service catalog dedicated to deploying artificial intelligence at the heart of business tools and processes.
Frequently asked questions
AI & intelligent systems — details.
On-premise AI possible?
Yes — dedicated GPUs, Kubernetes, bare metal, or edge; sensitive data under your control.
RAG vs agents — what’s the difference?
RAG grounds answers in your docs; agents plan and act via tools, under control.
How do you measure value?
Business indicators from scoping: time saved, resolution rate, quality, inference costs.
Agent security?
Permissions, isolation, logging, anti-injection, and human validation on critical actions.
Related expertise