New case study about synthetic data in insurance

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!