AI DEVELOPMENT
Production AI systems, engineered to last
AI that answers from your own documents, agents that use your tools, and automation. Built by the team that also runs them, hosted in Europe under European rules.
Free · under 5 minutes · no commitment
ai-generatedBefore anything else
Build it with your team, or have ours build it?
Most of what we build is one of three things: AI that answers from your own documents, agents that use your business tools through an open standard called MCP, and automation that removes manual steps. The next question is who builds it, and we support all three answers.
We build it
Our developers design, build and run the system, and keep running it. This is the work on this page: the four products below are ours end to end.
When it has to be in production, and you do not want to carry the operations.
We build it with your team
Your engineers work alongside ours and keep the system when we leave. The AI Forge track in our Academy exists for exactly this: it trains client engineers on the same stack we build with.
When you have a team and want the capability to stay in-house.
You build it, we advise
Sometimes you already have the people and the platform, and what you need is a second opinion on architecture, a review, or coaching for the team doing the work.
When you have the capability in-house and want it sharpened rather than replaced.
We will tell you which of the three fits your situation, and we deliver whichever one it is.
The work
What we build
Four kinds of system, all of them built to run in production rather than to demo well.
RAG systems
Your knowledge, answering. Assistants grounded in your own data, with sources and traceability on every response.
Agentic workflows (MCP)
Agents that act under governance. Composable, auditable, connected to your systems through the Model Context Protocol.
Multi-agent orchestration
Complex processes run by cooperating agents, with human oversight exactly where it matters.
Production deployment
Monitoring, evaluation and operations. AI that survives contact with Monday morning.
What we develop
RAG assistants
Reliable answers, grounded in your own data.
AI & MCP agents
End-to-end execution under governance.
Generative AI
Text, image, video, audio.
AI automation
Optimised processes, ROI tracked.
Data enrichment
Product and media databases (PIM, DAM) and CRM.
Proof
What have we already shipped?
Built and run in production by our AI developers with Inforca's Digital Agency.
AI site generator
Inforca Studio
A finished, on-brand website generated in under a minute, then handed over for editing like any other site.
- 60s
- to a finished site
- -90%
- cost versus an agency
E-commerce photography
Fashion Factory
AI-generated visuals replaced physical production shoots, product data was enriched automatically, and multi-channel publishing was fully automated.
- -95%
- shooting costs
- x10
- faster
ai-generatedMultilingual translation
InlexIA
Our AI translation module, integrated via Ibexa DXP, the platform behind large websites, publishes in 10 languages the moment content is saved while editors retain full review control. Awarded Ibexa Innovative Partner of the Year.
- x10
- faster
- EUR 20
- per million characters
ai-generatedConversational agent · tourism and hospitality
RAG + MCP agent
An enterprise-grade conversational AI agent built on RAG and MCP, answering complex queries in real time from live data sources across domains.
- Real-time
- answers from live data
- Sourced
- traceable, no hallucination
Results from Inforca's own deployments of these products.
How do we deliver?
Sovereignty and security are design inputs, not afterthoughts. Our Data & Sovereign Cloud Architects keep data where it belongs, the group's ESN brings cybersecurity and 24/7 operations, and for AI-plus-platform engagements we build with the group's Digital Agency on Ibexa DXP. Every system ships with the governance to run it.
From the first workshop to production operations, the same team stays accountable.
The stack, chosen per case
Our teams specialise in the tools they recommend, and every technology choice is justified by use case, client context and long-term sustainability.
We work daily with the leading model families (Claude, GPT, Gemini, Mistral, Llama), orchestration through LangChain, LangGraph and the Model Context Protocol, retrieval with vector databases such as Pinecone, Weaviate and Qdrant, automation with n8n and Make, and cloud platforms including AWS Bedrock, Azure OpenAI, Google Vertex AI, OVH AI Solutions, Scaleway and Hugging Face Inference Endpoints, or sovereign and on-premise environments when data residency requires it.
The landscape moves daily; so do we.
Frequent questions
Do you build on our infrastructure or yours?
Yours whenever sovereignty or integration argues for it, ours when speed does. Data residency and governance are decided at design time, not discovered in production.
What happens after delivery?
We run what we build: monitoring, evaluation and operations are part of the engagement, with knowledge transfer when your team takes over.
How do you keep AI systems compliant?
Governance is a design input: EU AI Act and Loi 1.565 alignment, audit trails on agent actions, and documentation that survives an audit.
Ready to see where AI pays back in your organisation?
Free · under 5 minutes · no commitment