“One clue is a clue,
two clues are a coincidence,
but three clues provide proof.”
Our customers have enjoyed a 400% improvement in the number of cases successfully investigated and a 300% improvement in fraud detection efficiency.
Platform developed by the leading claims outsourcing TPA in Italy and by seasoned claims’ experts.
Evaluation of the risk of fraud in claims through the use of independent indicators from different approaches, such as machine learning, relational analysis and socio-economic analysis.
Workflow to manage operations and processes.
Big data approach to manage high volumes of data in real-time.
Kube Partners recognises the expertise of seasoned decision-makers in detecting and examining insurance fraud. Claims handlers who, supported by Artificial Intelligence and Machine Learning algorithms, can enhance their fraud decisioning acumen to improve accuracy and efficiency in combatting fraud and ultimately reduce overall costs. Detector Claims includes hundreds of different criteria to establish how dangerous a claim can be. It can ingest external data to further deepen the analysis. The criteria used are organised into five groups:
Technical experience of claims handlers combined with historical data and external data feed
Multiple approaches to detect altered photos & docs
Geographical analysis of the claim and of the counterparts
Identification of complex relationships between claim and counterparties to identify hidden connections & anomalies
Advanced and independent Machine Learning algorithms
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