Dataset creation for artificial intelligence
A model is only as good as its data. We build clean, documented and verified datasets to train, specialise or evaluate your models.
What dataset creation includes
Collection and selection
Internal or open sources, with licence and usage rights checked.
Cleaning and anonymisation
Duplicates, errors and unnecessary personal data removed.
Annotation and example generation
Examples written or generated, then reviewed by domain experts.
Quality control
Automatic validation and scoring of every example before training.
Real-world examples
- A bilingual French and Italian legal dataset in conversational format.
- A test set to measure an assistant’s reliability before launch.
- A corpus of customer requests labelled by category and urgency.
Frequently asked questions
In what format do you deliver datasets?
In standard formats such as conversational JSONL, compatible with most training tools.
Is personal data protected?
Yes. Personal data is removed or pseudonymised, in line with the GDPR.
Related services
AI app development
We build business software that uses AI to read, sort, summarise or draft for you.
AI agents and automation
An AI agent chains several actions for you: it reads an email, updates the CRM, prepares an invoice and schedules a follow-up.
AI assistants on your data
A RAG assistant answers your team’s questions using only your documents and shows where each answer comes from.
Model fine-tuning
Fine-tuning specialises an open-source model in your field: your vocabulary, your style, your tasks.
Let’s talk about your project
A free first conversation, with no commitment, to see what would really help your business.