An AI for students
Discover why our university AI is different from ChatGPT and other platforms
5 major differences
Our AI is not a single model: it's a multi-AI platform
Developing an AI model from scratch costs millions. Instead of reinventing the wheel, we provide access to multiple external models. Students choose the AI best suited to their needs: writing, summarizing, planning, explaining, training...
An AI designed for studies: optimized for university
ChatGPT is very general. We have a different approach: a student-oriented AI with concrete modes: course understanding, notes, essays, training, methodology, idea structuring, revision... The goal: to be more effective, more academic, more useful.
Anonymized data stored locally in France
Unlike many platforms, our project is designed with a sovereignty logic: anonymized data, local storage in France. Goal: avoid turning student usage into 'data fuel' for a foreign company.
Data is not resold
Essential point: we don't do business with student usage data. Our philosophy is simple: students should be able to use AI without being the product. A frugal and conscious approach.
A frugal and responsible approach
Unlike tech giants that consume massive resources, we advocate for digital frugality: minimizing ecological footprint, optimizing queries, avoiding waste of tokens and energy. Every request counts, every resource is used intelligently. A sober, efficient and environmentally friendly AI.
Comparison
Our AI | Other platforms | |
|---|---|---|
| Number of models | Multiple models to choose from | Single model |
| Optimization | Specialized higher education | General public |
| Data storage | France, anonymized | USA, identified |
| Data monetization | No resale | Data used/resold |
| Dependency | Multi-provider | Single lock-in |
Our advantages
AI Choice
Select the right model for each task
Specialized Modes
Tools designed for your studies
Sovereignty
Data in France, anonymized
Ethics
You are not the product
An AI by students, for students
Our AI combines the best models on the market with a real logic of efficiency for studies and a sovereign, frugal and respectful approach to data.
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