Tailored AI · Controlled data
Make AI useful. Keep it yours.
Sorbier designs private AI systems around the way your business actually works — from tailored models to dedicated interfaces and controlled deployment.
A system built around your work
Private by design- 01
Your knowledge
Documents, data and business processes
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Tailored intelligence
Models selected and adapted for the task
- 03
Your workspace
A focused interface your team can use
The challenge / 01
Generic AI is easy to try. Harder to trust with real work.
Your useful knowledge lives in documents, processes and people — often alongside confidential data. We turn that complexity into a focused system your team can actually use, without defaulting to an opaque platform.
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Useful
Designed around a concrete workflow and a measurable outcome.
- 02
Private
Your information stays within an architecture you understand.
- 03
Adoptable
An interface that fits the work — not another generic chatbot.
What we build / 02
One system. Three layers of control.
We connect the technical stack end to end, so performance, usability and privacy reinforce each other.
- 0103
The intelligence
Select, integrate and adapt open-weight models for the task — without chasing novelty for its own sake.
Model selection · RAG · Fine-tuning - 0203
The workspace
Create a focused environment around your process, vocabulary and team instead of forcing work into a generic chat.
UX design · Internal tools · Integrations - 0303
The infrastructure
Deploy on your own infrastructure or controlled hosting with a clear view of where data goes and why.
Private cloud · On-premise · Monitoring
Training / 03
Give your teams the means to use AI with judgement.
Practical training grounded in your work: understand what AI can do, question what it produces and adopt it without losing control of your data.
Leadership & business leads
Decide with AI
Build a clear, critical view of AI before deciding where it belongs in the business.
- Capabilities, limits and common failure modes
- Bias, hallucinations and levels of confidence
- Use-case and data-sensitivity mapping
TakeawayA prioritised map of opportunities, risks and next decisions.
Operational teams
Work effectively with AI
Learn reliable working methods while knowing when to trust, check or challenge an AI-generated answer.
- Clear instructions and reusable workflows
- Source checking, cross-checking and human review
- Safe handling of confidential information
TakeawayA practical playbook tailored to the team’s real tasks.
AI leads & technical teams
Deploy controlled AI
Move from individual experiments to a dependable system the organisation can understand and govern.
- Models, RAG, agents and fine-tuning
- Architecture, hosting and data control
- Evaluation, security and governance
TakeawayA framed pilot with its architecture, safeguards and next steps.
One business team
AI workflow workshop
Turn one concrete workflow into a shared target and, where possible, a first working demonstration.
- Workflow and friction-point analysis
- Target experience and rapid prototype
- Value, feasibility and deployment options
TakeawayA target workflow, prototype direction and deployment recommendation.
How we work / 04
Start with the work. Prove value before scaling.
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Frame
Identify one valuable workflow, its constraints and what a useful result looks like.
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Prototype
Build a focused proof of concept with real material and the right safeguards.
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Deploy
Turn the validated prototype into a dependable tool your team can own and improve.
Your control / 05
No mystery layer between your business and its intelligence.
We keep the architecture legible and the chain of responsibility clear. Where it matters, we are also working toward verifiable guarantees that client data is never reused.
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Architecture documented from model to interface
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Deployment chosen around your security constraints
- 03
Open-weight foundations where they create real leverage
- 04
No blind dependence on a chain of automation tools
Contact / 06
Tell us what you’re exploring.
Use case, constraints, timeline — a short note is enough to start.
maxime.haurel@sorbier.tech