Seize the potential of Artificial Intelligence and Big Data in fighting frauds with our SaaS solution
We are focused on using external data to help you
validate claims and assess risks. The search mo-
dules make your OSINT searches fast and simple,
while the AI module adds value to the external
data by assessing the fraud risk.
No hardware or software installation. needed.
Fraud relevant Open Source Intelligence at your grasp
Use Big Data to validate accident, health, travel or motor insurance claims. OSINT data from sports sites, commercial registries, second hand car sites and alike are all made available to you from a single point of access with our state-of- the-art search engine technology.
You can search in batches or perform single searches, use it for triage or perform deep dives, use it independently or use API to integrate it with your system.
Enhance your fraud detection capability and save time and money in triage and investigations.
Assessing risks with the Artificial Intelligence Module
Assess fraud risk levels of insureds with the data from credit rating agencies and focus your resources on cases, where fraud is most likely to be confirmed.
The module applies machine learning on historic data sets on fraud investigations to identify and understand the relevance of data sets from credit rating agencies for fraud indication.
Learn about our pilot project in Switzerland here.
How It Works
First, choose the module you wish to use.
Enter a name or upload the list of persons you wish to search for or make assessment of.
The searches and assessments are performed instantly. A result file with available records is generated and made available for download.
Once the result file is downloaded, it is permanently deleted from the hosting server.
- supports REST API for integration with the client’s business software
- based on open source technologies
- easily scalable and transferable
- installed in the ISO 27001 certified cloud
- reviewed and approved by the IAPP certified international privacy professional (CIPP/E)