Usage outside any framework
Everyone finds their own tool, takes out their own subscription, feeds the AI with company documents. Nobody has the overall picture.
AI comes to your data.Not the other way round.
Angèle orchestrates your AI models, your assistants, your data and your applications within a controlled, governed environment integrated with your information system.
Why Angèle exists
Your teams already use AI. But who is really in control?
Data on the move
Sensitive information leaves for services whose location, retention and reuse you do not control.
Trials that stay trials
The demonstrations convince, then nothing reaches scale: no integration with the information system, no governance, no measurement.
What Angèle is
A platform to orchestrate AI across your organisation.
A single entry point where your teams find the assistants relevant to them, connected to your authorised data and framed by your rules.
Assistants, agents, data sources, connectors, models and governance sit in one environment, hosted in Luxembourg or on your own infrastructure.
What you find in it
- Business assistants, connected to your authorised data.
- Agents that carry out tasks and processes.
- The choice of model, local or public, use by use.
- Administration of users, access rights and usage.
Our foundations
Four commitments.
They shape the architecture of the platform and the way every project is run.
Control
You define and steer your usage, your data, your models and your access rights.
Sovereignty
Your data stays where you decide: in Luxembourg, or on your own infrastructure.
Integration
Angèle settles into your existing applications and processes, without disrupting them.
Evolution
New use cases, new models, new functions: without starting over.
How it works
Your data on one side, the models on the other. Angèle in between.
Your data sources
- Collaboration toolsMicrosoft 365, Teams, SharePoint
- Documents and filesDocument management, intranet, shared spaces
- Business applicationsERP, CRM, dedicated software
- DatabasesSQL, NoSQL, data lake
Angèle · your orchestration platform
ConnectorsCollect and unify
ProcessingPrepare and contextualise
GovernanceSecure and control
OrchestrationRoute to the right model
The AI models
- Local modelOn your infrastructure
- Private model as SaaSHosted in Luxembourg
- Public modelsOptional, non-sensitive uses
Your usage
- Business assistantSourced answers
- AutomationAssisted processes
- Analysis and decisionSummaries and comparisons
At the heart of the architecture:Data protectionAccess controlUsage traceabilityGDPR and AI Act
How we move forward together
Five steps, five results.
A pragmatic approach to embedding AI durably, without committing more than necessary at any stage.
Understand
Scoping workshops, priority use cases and success criteria defined with your teams.
OutcomeA scoping note.
Design
Target architecture, choice of AI building blocks and a realistic roadmap.
OutcomeA target scenario and a roadmap.
Deploy
Configuration, integration, testing and change management support.
OutcomeAn operational pilot.
Accelerate
Team training, day-to-day support and measurement of results.
OutcomeSelf-sufficient teams.
Evolve
Performance monitoring and new use cases.
OutcomeA continuous improvement plan.
Let's talk
Your AI project starts here.
Your teams, your data, your processes: let's look at how our sovereign AI can make your people's work simpler and move your projects along faster.
- Thirty minutes to qualify the need, the available data and the right starting point.
- A single point of contact and a multidisciplinary team alongside you.
- Concrete recommendations, even if the project does not start straight away.