An enterprise AI platform, for all your teams.
A single environment, on your premises or in Europe, to host your models, your agents and the tools built with AI. Every team finds what it needs, and IT keeps control of access rights, logging and costs.
- Multi-model
- open source or API
- Governed
- rights, logging, costs
- Open
- exposed via MCP
AI is spreading everywhere, with no common framework.
Three things we often hear from IT departments.
« Every department has its own AI tool, its own subscription and its own agents. Nobody has the full picture. »
« We don't know who sends what to which model, or how much it costs us. »
« Our data must not leave Europe, but our teams want the best models. »
The result: AI projects multiplying without governance, and an IT department holding back for lack of visibility. A shared platform brings every use case back into a framework.
What we deliver.
A platform installed in your environment, governed by your IT department and open to all your teams.
Multi-model gateway
Open source models hosted on your premises and approved external models, behind a single access point, with quotas per team.
Agent and tool catalogue
Internal agents and tools published in one place, documented, versioned and reusable from one team to the next.
Search across your documents
Connectors for Drive, SharePoint, Notion, Confluence and email. Sourced answers, access rights respected.
MCP server
Your knowledge and tools available from Claude, ChatGPT, Copilot or a local model, without imposing yet another assistant.
Access rights and identity
SSO, roles and scopes per team or per project. Everyone only accesses what concerns them.
Logging and cost tracking
Every request is traced, every cost attributed to a team. Exportable for your GDPR and AI Act checks.
- LLM gateway
- Mistral, Llama, Qwen
- Approved external models
- Vector database
- MCP server
- SSO SAML / OIDC
- Kubernetes or Docker
Four steps, at your pace.
Our guiding thread: the ICPC method. You stay in control at every step, and you can stop whenever you want.
- Identify
Mapping current usage
Inventory of the AI tools already in use, needs per department and your security constraints.
- Frame
Platform architecture
Hosting, selected models, access rules, logging and cost policy, validated with IT.
- Produce
Deployment and first use cases
Platform installation, source connections, first agents published with two or three pilot teams.
- Capitalise
Roll-out and operations
Gradual roll-out to other teams, new agents in the catalogue, updates and monitoring.
Organisations that want to industrialise AI, not pile it up.
- European mid-caps and public bodies, with an IT department that wants to regain control of AI usage.
- Organisations of 50 to 500 people, with several teams, several tools and no common framework.
- Organisations subject to GDPR, the AI Act or sovereignty requirements in their markets.
Little to prepare to get started.
- An executive sponsor and an IT contact.
- Two or three pilot teams with a concrete use case.
- Host infrastructure, on-premises or with a European provider, which we size with you.
Your data stays yours, right from the start.
Sovereignty
Hosted in Europe, within your perimeter.
Confidentiality
No third-party training on your data, ever.
Freedom
Choice of models, no vendor lock-in.
Compliance
GDPR & AI Act by design.
Ownership
The code and configurations belong to you.
Frequently asked questions
The other Studio offers.
Private AI assistant
An in-house ChatGPT, connected to your documents and tools. No data ever leaves your perimeter.
AI agent audit
Are your agents expensive, or breaking silently? Costs, memory, crons, MCP and routing under the microscope, fixes included.
Claude workflows for your business
Skills and MCP connectors that automate your business in Claude, installed and then maintained over time.
Let's start with a conversation.
A first conversation to check that this offer fits your need. We'll tell you honestly what is useful, and what can wait.