New case study about synthetic data in insurance

Ownership: you are a person who thrives on taking responsibility and creating processes from scratch
Agility: you enjoy solving complex problems in a fast-paced environment
Collaboration: you believe that the best solutions come from diverse, cross-functional teams where initiative is valued
Communication: you are fluent in Italian and English

We’re excited to share our latest case study, showcasing how BeRebel, an innovative Italian car insurer, leveraged Aindo’s synthetic data to develop high-performing AI models, all while ensuring privacy compliance and dramatically reducing time-to-data.

In this case study, you will learn how synthetic data helped:

Train AI models with 99% accuracy compared to models trained on real data.
Reduce time-to-data by over 75%.
Enable privacy-preserving AI development in compliance with GDPR and sectoral regulations.

The project, conducted within the IVASS regulatory sandbox, validated synthetic data as a transformative tool for AI-driven innovation in highly regulated industries.

Download the full case study to explore how synthetic data is reshaping AI in insurance!