Custom Models
Develop AI models specifically trained on your data and optimized for your unique use cases.
Why develop a custom model?
Superior Performance
Models optimized for your specific use cases with quality results
Full Ownership
You fully own the developed model and your data remains confidential
Independence
Reduce your dependency on external APIs and control your costs
Business Precision
Models trained on your vocabulary, style and processes
Scalability
Solutions that adapt to your business and data growth
Continuous Support
Continuous model improvement with new data and feedback
Our development process
Data Audit & Analysis
Evaluating the quality and quantity of your data, identifying business needs and defining performance objectives.
Dataset Preparation
Cleaning, annotation, enrichment and structuring of your training data to maximize model quality.
Training & Fine-tuning
Selecting the optimal base model, supervised training, hyperparameter optimization and cross-validation.
Deployment & Monitoring
Secure production deployment, integration into your systems, performance monitoring and continuous improvement.
Types of models we develop
LLM Fine-tuning
Adapting GPT, Claude, Llama or Mistral to your domain with your own data for ultra-relevant responses
Automatic Classification
Specialized models to categorize your documents, emails, support tickets or content according to your criteria
Information Extraction
AI trained to automatically identify and extract key entities and data from your texts
Business Predictive Analysis
Custom algorithms to anticipate your KPIs, churn, demand or specific risks
Custom Embeddings
Vectorization optimized for your domain enabling ultra-precise semantic search
Recommendation Models
Intelligent suggestion systems based on user behavior and preferences
Content Generation
Creative AI adapted to your tone, style and guidelines to produce quality content
Anomaly Detection
Models trained on your normal data to automatically identify deviations and incidents
Frameworks & Technologies
Frequently asked questions
How much data is needed to train a model?
It depends on the type of model. For LLM fine-tuning, a few hundred examples may suffice. For classification or prediction models, we generally recommend at least 1000-5000 labeled examples. We evaluate your data during the initial audit.
How long does custom model development take?
A complete fine-tuning project typically takes 6 to 16 weeks: data audit (1-2 weeks), dataset preparation (2-4 weeks), training and optimization (2-6 weeks), testing and deployment (1-4 weeks). We often start with a 4-week POC.
Can I host the model on my own infrastructure?
Absolutely. We can deploy the model on-premise on your servers, in your private cloud, or on whatever infrastructure you choose. You maintain full control over hosting and security.
How do you handle data confidentiality?
Your training data remains strictly confidential and is never shared. We sign NDAs, apply encryption, and can work in your secure environment. The final model belongs 100% to you.
Let's develop your custom AI model
Let's discuss your specific needs and create together a perfectly adapted AI solution.