Unsupervised Anomaly Detection for the Insurance Sector

Identify errors, omissions, and fraud in days, not months for these and many others areas:

  • Workers Compensation

  • Medical Professional Liability

  • General Liability

  • Products Liability

  • Health Insurance

 

At the Speed of your Business, Alexis One-Click Anomaly Detection program can identify outliers in massive data sets and is agnostic to the type of information it analyzes; whether it be exposure, underwriting, or loss information.

 

Alexis Machine Learning Software Technology can provide insurance leaders with a unique advantage to improve operational efficiency, cash flow, and receivables, while identifying fraudulent records along the way.

Patent Pending

The Problem in Anomaly Detection

The Solution: One-Click Anomaly Detection

To find out more about Alexis and how it can make an impact on your organization, please contact Jim Fasone

As a successful Executive, Advisor, Investor and Entrepreneur, Jim joins Alexis in a Board Advisory capacity. His expertise in enterprise risk management, underwriting, brokerage consulting, litigation management, and risk financing will be invaluable in advising customers of the clear value proposition that Alexis software products offer in discovering data anomalies at the Speed of Business. 

Leaders are increasing their EBIDTAs by 80%+ by using Alexis technology. 

 

Learn more from Jim how you can use Alexis software products to help save millions for your business by filling in the Contact Form below.   

ALEXIS Product Feature Comparison

Alexis Networks is 80% more efficient and  90% more economical than any other Anomaly Detection software product.

Alexis Networks saves Customers more than $3M per annum and delivers full value 80% faster than competitive solutions. 

Alexis Networks is the first to market advanced and innovative business solutions that solve Fraud Detection (Anomalies) and Predictive Insights with One Click on customer data and deliver industry leading ROI in less than 1 week. 

References:

Contact Jim Fasone

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