EXPERTISE / 07Private & sovereign AI / Training & fine-tuning / Agents & RAG
Private AI, training & automation
Your business intelligence. Your AI.
Assistants, RAG, agents, model training and fine-tuning, private or sovereign AI: RGAIX designs the use case and the integration, with infrastructure expertise from Sovalyx.
07 / RGAIXPrivate & sovereign AI · Training & fine-tuning
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DataCorpus, quality & governance
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AI modelsRAG, agents & training
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Private deploymentSovereignty & monitoring
PRIVATE & SOVEREIGN AI
Train, adapt and operate AI within a controlled frame.
Data, models, private infrastructure and monitoring are designed together with Sovalyx.
RGAIX × SOVALYX
Business AI meets sovereign infrastructure.
RGAIX designs the use case, prepares the data, trains or adapts the models and integrates them into your applications. Sovalyx Technologies provides the private architecture, the compute, the storage and the operations required for AI you can control.
TRAINING · PRIVATE INFRASTRUCTURE · MODELS UNDER CONTROL
01
TRAIN
Fine-tuning, specialised models, datasets and business evaluation.
02
KEEP PRIVATE
Models, RAG, vectors and data inside an isolated environment.
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MAKE SOVEREIGN
Location, access control, infrastructure and operations with Sovalyx.
04
INDUSTRIALISE
APIs, agents, monitoring, versions and cost control.
From a generic model to an AI that knows your business.
We can integrate existing models, build a RAG pipeline, develop agents, but also train or adapt a model on your data. With Sovalyx, the AI can run on private, sovereign infrastructure, with governance, access control and operations under control.
01PRIVATE AI
Keep your data in a controlled environment.
Deploy the models, the vector stores and the interfaces on isolated infrastructure, with suitable access, logging and retention rules.
02TRAINING
Adapt a model to your vocabulary and your tasks.
Prepare and qualify the data, choose between fine-tuning, specialised training or preference techniques, then measure the model against a business evaluation set.
03AGENTS & RAG
Connect AI to your knowledge and your tools.
Build assistants able to search your documents, call APIs and run a workflow under control.
SCOPE OF WORK
What we do, in practice.
01
Frame the value and the risk
Describe the decision, the task or the journey to improve. Identify the data available, the unacceptable errors, the human validations and the confidentiality constraints.
02
Prepare the data and the evaluation
Clean, structure and version a corpus. Build a business test set that measures precision, completeness, hallucinations, expected refusals and format compliance.
03
Choose the right adaptation
Compare prompting, RAG, tools, fine-tuning or training. A trained model is only chosen when the data, the expected gains and the ability to operate it justify it.
04
Deploy within a controlled frame
With Sovalyx, design a private or sovereign architecture: compute, storage, models, secrets, observability, backups and scaling.
05
Industrialise and monitor
Track latency, cost, quality, drift and incidents. Organise model versions, pre-promotion tests and a procedure to roll back to the previous version.
THE DELIVERABLES
Enough to decide, validate and take over.
The documents and the work serve your team. Their level of detail is defined by the scope and the criticality of the project.
GOOD TO KNOW
RGAIX owns the use cases, the data, the integration and the evaluation. Sovalyx provides the sovereign architecture, the private cloud and the operation of the AI infrastructure.
EXAMPLE DELIVERABLER / TECH
Private AI, training & automation
AI strategyUse cases, data, risks and success criteria
Dataset & evaluationPrepared corpus, test sets and measurements
Model & integrationRAG, agents, fine-tuning or a trained model
Sovereign platformPrivate infrastructure operated with Sovalyx
OperationsMonitoring, versions, costs and procedures
Scope • Decisions • Owners • Validation
PREPARING OUR CONVERSATION
What helps us frame the work.
Your business objective and the users involved.
The existing systems, the dependencies and who is available.
The constraints on schedule, budget and operations.
The criteria that will let us validate the result.
THE USEFUL QUESTIONS
Clarify before committing.
Can you really train models?
Yes. Depending on the need, we can prepare the data, run a fine-tuning or a specialised training, build the evaluation and industrialise the model. We first check that training brings a measurable gain over an existing model or a RAG pipeline.
How do you make the AI private and sovereign?
RGAIX designs the use case, the data and the integration. In partnership with Sovalyx, we can deploy the models and the associated services on private, located infrastructure administered within the agreed scope.
Illustrative scenario, not attributed to a real client.
01 / The starting situation
Staff open and file documents by hand to re-enter a few fields into a business tool. Formats and exceptions vary.
02 / Our intervention
Define a representative set of documents, compare the approaches, test the extraction and plan a human review of ambiguous results before integrating into the workflow.
03 / What would be delivered
A prototype evaluated with its limits, a review circuit and an integration scope. The gain is measured on real cases rather than assumed.
A clear scope. A useful intervention.
Assistants, RAG, agents, model training and fine-tuning, private or sovereign AI: RGAIX designs the use case and the integration, with infrastructure expertise from Sovalyx.
