Car insurance pricing

Adopt a dynamic pricing model

Calculate the risks incurred by each beneficiary as accurately as possible

Determine the ideal rate based on the risk criteria of your choice

Benefit from accurate, comprehensive, nationwide data

With which tools?

With automated data collection and consolidation

With data from numerous sources (including the Ministry of Internal Affairs), accurately estimate and calculate all potential risks incurred on defined routes.
With customizable calculation models

Thanks to different pricing modes (traditional, personalized or adjusted), update and automate the insurance premiums offered.
With the creation of indexes and scores

Thanks to the data collected (severity of accidents, frequency of accidents, etc.), you can map the risks incurred under a single reference system.

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Our publications

- Financial Services & Compliance

Synthetic data or how to share sensitive data…

For a period of six months, 5 students from Centrale Supélec and ESSEC worked collaboratively with Sia Partners on building a Python library to create fake - which we'll call synthetic - data.
But what's the point of creating fake data? How could it help organizations?

2023

- Financial Services & Compliance

Introduction to OpenStreetMap: How to leverage…

In this article, we explore the use of OpenStreetMap for extracting geospatial data and implementing an approach to enhance the overall data quality. We delve into the key steps of data extraction including selecting the area of interest, data collection, cleaning, and preparing data for future use.

2023

- Marketing & Sales

Customer churn prediction with Data Science

Thanks to Machine Learning, companies can significantly improve their activities by leveraging their data. Machine Learning is a field of study of artificial intelligence that gives an AI the ability to "learn" from data.

2023

See our publications