Detect and prevent Fraud Abuse & Waste in
Workers' Comp
KlearAnalytics uses advanced statistical modeling to identify suspicious claims, transactions, and cartels in your network. Searching for a 'needle in the haystack' has never been easier...
Why KlearAnalytics for Fraud Detection?
Designed for Workers' Comp
Covers a wide variety of uses cases ranging from Claimant Fraud, Provider Fraud, Billing Fraud and a Nexus between multiple actors within your ecosystem
Advanced Statistical Modelling
Uses proprietory statistical algorithms ranging from Neural Networks, Decision Trees, NLP based Sentiment Analysis and Anomaly Detection
AI with Deep Learning
System is designed to self learn and retune itself - improving the accuracies over time
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Seamless Integration
Identified suspicious claims and transactions are seamlessly moved into designated SIU queues for detailed investigation
It’s more than just a fraud detection software—
it’s peace of mind
Our proprietary algorithms are tailored to the Workers' Comp line of coverage, aptly recognizing the peculiarities and complexities of managing the business.
Advanced Statistical Models for High Accuracy
klear.ai uses a range of advanced statistical techniques as per underlying use case - Logistic Regression, Neural Networks, Decision Trees, or an Ensemble of multiple techniques. Picking the correct technique is as much a science as art.
Tailored for Workers' Comp
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AI with Deep Learning - Deploy & Forget
"Identifying a fraudulent transaction is like scoring on a moving goalpost". The ingenuity of fraudsters is pitted against the sophistication of algorithms, necessitating the need for constant monitoring and frequent updation of algorithms - just to keep us a step ahead of them!