[ Artificial Intelligence ]
LLM & Custom
Fine-tuning
We adapt and train language models directly on your business data — for uncompromising performance, total sovereignty, and seamless integration into your existing processes.
[ Our Approach ]
How we fine-tune for your business
We combine state-of-the-art techniques — LoRA, RLHF, DPO — with rigorous evaluation on your real business cases. Every fine-tuned model is benchmarked against your actual operational requirements, not synthetic metrics.
[ Unfair advantages ]
What your teams concretely gain
Training on Your Data
We fine-tune LLMs directly on your business corpus for precise, domain-compliant responses.
100% Sovereign Models
Data hosted in France, on-premise or private cloud inference — zero leakage to third parties.
Rigorous Evaluation
Business benchmarks, red-teaming, and continuous monitoring for measurable production performance.
[ Implementation ]
Custom design and field support
Step 1
Data Audit & Scoping
Analysis of your existing corpus, gap identification, and success metric definition.
Step 2
Fine-tuning & Evaluation
Iterative training, evaluation on your real cases, and safety guardrail adjustment.
Step 3
Deployment & Optimization
Production rollout, quantization, distillation, and model drift monitoring over time.
[ Use cases ]
Use cases ready to activate quickly
Document Assistant
Precise answers from your internal knowledge bases, contracts, and procedures.
Content Generation
Writing in your brand voice: reports, emails, product sheets.
Semantic Search Engine
Indexing and retrieval over millions of documents with contextual understanding.
Classification & Extraction
Automatic categorization and structured field extraction from unstructured text.
[ Next Step ]