Unlock new possibilities in insurance with synthetic data

The use of synthetic data in the insurance industry opens up new possibilities to accelerate data projects and unlock AI-driven pricing & claims management.

Elevate your data strategy : achieve a competitive edge in the InsurTech landscape through accelerated data projects.

Empower collaborative data innovation: safely create and share realistic datasets to enhance models, optimize processes, and identify new services and customer segments.

The transformative role of synthetic data for the InsurTech industry

The transformative role of synthetic data in insurance is revolutionizing risk analysis, claims management, customer insights, and business agility through

Enhanced risk analysis and decision-making based on realistic artificial data.

Streamlined claims management processes, enabling faster and more accurate claims handling.

Deeper customer insights leading to personalized experiences and targeted offerings.

Improved business agility, enabling quick adaptation, optimized processes, and identification of new opportunities and customer segments.

What opportunities does synthetic data unlock for insurance companies ?

Experience the transformative power of synthetic data in the insurance industry. With its ability to revolutionize data-driven processes, synthetic data offers a multitude of benefits

Enhance pricing, fraud detection models and foster fairness and accuracy in AI models.

Unlock hidden data assets constrained by privacy regulations while maximizing data utilization and preserving confidentiality.

Reduce defects for perfect applications thanks to the realistic synthetic data simulating complex scenarios.

Optimize insurance projects with synthetic data

Unlock the full potential of your insurance project by leveraging synthetic data to optimize performance, accelerate AI/ML activities and empower your data science and analytics teams.

Accelerate product development by leveraging safe synthetic data assets that can be securely shared.

Enhance and expedite AI/ML activities by leveraging fresh and secure data without constraints.

Eliminate the need to request, export and anonymize data from production. Synthetic data, being inherently artificial, provides a safe alternative to real data.

Empower data science teams with AI-powered synthetic data factory for data augmentation, new scenarios and complete data for customer 360 view.

Why should you use synthetic data ?


Speed & cost-effectiveness

CloudTDMS reduces the Time to Market, it frees time spent on creating test data and on reworks due to defects. Which can be used to focus.



As good as real data, synthetic data can be defined, made and shared in a minute. It could be the only solution when real data is rare or even not existing for new use cases.


Secure by design

100% compliant with GDPR and security policies, synthetic data can be used in the Cloud without exposing sensitive data because it's fully user-controlled and fake.

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