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Salviol Global Analytics

The AI engine Fit Assessment

Beta

The company develops AI solutions that automate both claims processing and fraud detection in insurance operations.

Blurb

Salviol Global Analytics is a leading provider of Fraud, Risk and Operational Performance Solutions (FROPS) to a number of vertical markets.

HQ Location

Reading (United Kingdom)

Founded

2009

Employees

11 - 50

Total funding raised

$7.20M

Funding Status

Series A, $7.20M, July 8, 2015

With FROPS you can increase additional efficiency. Why? FROPS solution consists of three core innovative modules that create unique and leading functionalities.



FROPS is a highly scalable platform that finds and detects anomalies and exceptions which can be part of a Fraud or Operational Risk scenario across large amounts of data within an organisation and from external sources including social media. Using that knowledge in real-time to feed Investigators, to identify perpetrators and to make processes and transaction systems improve their automated decisions.



WHY FROPS



FROPS solution is a “data mining” type, and allows company to have a more open approach to non-predetermined fraud detection criteria and the use of business sector rules, based on a cross of specific warning criteria known by the Fraud sector, service provider and insurance company’s specialists. As an artificial intelligent solution FROPS uses a “learning algorithm” and “predictive models” based on reproduction of confirmed fraud cases detected in the past.



With Key Fraud Indicators and Key Risk Indicators set in place, FROPS performs rapid calculation of a risk score for each of the losses and/or networks triggering the warnings to responsible departments and employees. FROPS open architecture and flexibility offers our clients a possibility to evolve over time by adding and creating new perimeters, entity, KFI’ and KRI’s, links independently.



All information is processed in real time. That allows users an action overview with in-depth analysis of structured and unstructured data, such as printed media, social media, web. Furthermore, investigator module technology combines advanced technological building blocks that automatically performs a detailed analysis and is able to identify trends and their implications for businesses and products.