InsurTech Spotlight: FRISS

FRISS

Company: FRISS

Website: www.friss.com

Business Category: A technology provider of InsurTech tools to insurance practitioners

Maturity Status: Mature (more than 3 years since product went into production)

Product or Service: The FRISS Score

Area: Property & Casualty Insurance

FRISS is 100% focused on automated fraud and risk detection for P&C insurance companies worldwide. Their AI-powered detection solutions have helped 150+ insurers grow their business. FRISS detects fraud, mitigates risks, helps you stay compliant and supports digital transformation while helping lower the loss ratio, grow profitable portfolios and improve the customer experience.

What makes us an InsurTech:

FRISS provides a solution for risk mitigation and fraud detection for P&C insurers worldwide. The FRISS Platform integrates with Guidewire, Duck Creek and any core system to ensure a seamless workflow integration. The FRISS Score shows the likelihood of fraudulent claims and allows you to know your customer to understand if you can or want to do business with them. FRISS provides actionable insights so your staff know where to look, when. FRISS helps enabling straight through processing at underwriting and touchless claims for legitimate claims to ensure a superior customer experience.

Major features & technology used:

FRISS offers a hybrid solution. Our combination of expert models, database search functionality, anomaly detection, text analysis, predictive modeling and network analysis are powered by AI and Machine Learning. This combination offers the end user instant insights at underwriting, claims and special investigations. At various stages, from policy requests, renewals, policy changes to FNOL, the score is updated to keep track of the risks attached to each policy or claim.

News & Updates

See the latest FRISS news.

About FRISS

FRISS has 150+ implementations in over 35 countries across the globe. It is trusted by the world’s best. Read what our customers say at www.friss.com/customer-stories.

Source: FRISS

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