The NLP (Natural Language Processing) models have been trained on technical documents such as trauma severity, the physics of accident reconstruction, and traffic regulations. The virtual assistant has access to the documents that are uploaded.

This feature provides a list of all damaged parts of the car, automatically detected from the uploaded photo. Additionally, it also returns the percentage of damage relative to the total surface of each specific damaged part.

It avoid duplicates in claims that cause insurers significant losses by identifying similar damage.

The EES reading feature on the platform automatically calculates the Estimated Energy Speed, providing critical insights into the collision’s severity. This tool enhances analysis accuracy and supports detailed assessments of accident dynamics.

The license plate reader automatically captures and processes plate numbers, facilitating quick data entry and ensuring accuracy, all while upholding data privacy and security standards during analysis.

The VIN code reader automatically extracts and processes the unique Vehicle Identification Number, streamlining data entry while maintaining data accuracy and confidentiality throughout the analysis.

The platform ensures data privacy by automatically masking sensitive information, such as personal identities and confidential data, during the analysis and report generation process.

The Platform automatically identifies fraud cases by benchmarking the damage against previously reported claims.