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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...

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Why KlearAnalytics for Fraud Detection?

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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

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Advanced Statistical Modelling

Uses proprietory statistical algorithms ranging from Neural Networks, Decision Trees, NLP based Sentiment Analysis and  Anomaly Detection

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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

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Want to augment your business with

KlearAnalytics?

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Our proprietary algorithms are tailored to the Workers' Comp line of coverage, aptly recognizing the peculiarities and complexities of managing the business. 

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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!