Vous constatez. Vous ne prévoyez pas.
Là où les idées vont mourir
Le rétroviseur : les rapports disent ce qui s'est passé le mois dernier.
L'intuition : les prévisions tiennent dans un Excel et dans la tête d'une personne.
Le projet IA : un data scientist, six mois, et un modèle qui ne sort jamais du notebook.




La rupture de samedi, annoncée mardi.
From €12K/Year
Built-in, real time
MatR entraîne ses modèles sur des données nettoyées et réconciliées, avec un historique fiable.

Une prévision juste commence par une donnée juste.
Once your model is in production, Matr gives you four ways to consume predictions:



Blissim cut churn by 20%
The Challenge
Blissim was losing €200K/month to churn. No data scientist on staff. No time to build a model from scratch.
The Solution
MatR a déployé un modèle de prédiction du churn sur BigQuery en une journée. Le modèle score chaque client, identifie les profils à risque et alimente les campagnes de rétention.
L'impact
- +20% customer retention
- +40K/month recovered revenue
- Model deployed and in production
Questions we hear most.
Every month you spend building ML in-house is a month your competitors spend shipping predictions.
Do I need a data scientist to use Matr?
No. That's the whole point. Your data analyst describes the business question in natural language — Matr handles the ML pipeline.
What types of models can I build?
Classification (churn, scoring, segmentation), regression (revenue forecast, demand planning), and time-series forecasting. Matr selects the best approach based on your data.
How accurate are the models?
It depends on your data quality, but Matr shows you accuracy metrics, baseline comparison, and confidence scores so you can make an informed decision. Typical results: 75-95% accuracy on well-structured data.
Where does my data stay?
In your warehouse. Matr connects to your Snowflake, BigQuery, or PostgreSQL. No data is moved or duplicated.
Can I integrate predictions into my existing tools?
Yes. Via REST API, direct warehouse write-back, or scheduled exports. Predictions flow into your CRM, ERP, spreadsheet — wherever your team works.
What happens if the model's performance degrades?
Matr monitors model drift continuously. When performance drops below threshold, it flags the issue and can trigger automatic retraining.
For more questions, feel free to contact us
