What is Fraudgraph?
Insurance claims fraud is a growing challenge, eroding profitability for insurers, MGAs, and TPAs. Particularly for smaller to medium-sized organizations, accessing sophisticated detection tools has often been out of reach, leaving you vulnerable. Fraudgraph addresses this directly, providing powerful, AI-driven fraud detection capabilities designed to protect your bottom line without disrupting your existing operations. We put advanced fraud analytics within your grasp, helping you quickly identify suspicious claims and significantly reduce fraud-related losses.
Key Capabilities
🎯 Target Fraud More Accurately: Leverage defence-grade AI, including machine learning and probabilistic network graphs, to pinpoint suspicious claims with significantly higher precision (up to 10x more accurate targeting), minimizing false positives and negatives.
📈 Increase Detection Rates: Identify substantially more fraudulent activity – potentially growing detection rates by over 100% – translating directly into millions saved annually.
⏱️ Accelerate Investigations: Stratify claims by risk level automatically, allowing investigators to focus their efforts on the highest-impact cases, tripling their productivity and reducing referral times from months to days.
💻 Onboard with Ease: Connect your data via a simple CSV upload or integrate with your existing claims management platform; begin analyzing claims and detecting fraud within hours, not weeks or months.
💡 Understand the 'Why': Receive plain-language explanations generated by Large Language Models for why a claim is flagged, combined with visual graph analysis, making complex AI insights accessible to your investigators.
🔄 Operate Seamlessly: Implement Fraudgraph without replacing existing systems or managing new digital infrastructure, ensuring zero disruption to your current workflows.
Practical Applications
Imagine how Fraudgraph could work for you:
Uncovering Organized Fraud: An investigator at a regional MGA uses Fraudgraph's network graph visualization. It connects seemingly unrelated claims through shared addresses and phone numbers, revealing a sophisticated fraud ring that manual analysis previously missed, preventing substantial future losses.
Boosting Investigator Efficiency: A TPA handling workers' compensation claims implements Fraudgraph. Its investigators immediately see claims automatically prioritized by fraud risk and potential cost. They shift focus to the top 10% riskiest claims, effectively tripling the amount of fraud value they uncover each month compared to their previous random sampling method.
Optimizing Capital Reserves: A mid-sized insurer integrates Fraudgraph into its claims assessment process. The system rapidly flags claims with a high propensity for fraud, allowing the team to expedite investigation and resolution for those specific cases within days instead of months. This quicker turnaround significantly reduces the amount of capital tied up in reserves for potentially fraudulent claims.
Safeguard Your Profitability
Fraudgraph offers a clear path to reducing fraud losses and enhancing operational efficiency. By making advanced AI detection accessible, accurate, and easy to implement, it empowers smaller insurers, MGAs, and TPAs to protect themselves effectively against the rising tide of claims fraud. Focus your resources where they matter most and see a measurable impact on your bottom line.
More information on Fraudgraph
Launched
2023-11
Pricing Model
Starting Price
Global Rank
Follow
Month Visit
<5k
Tech used
Framer,Google Fonts,Gzip,HTTP/3,OpenGraph,HSTS
Fraudgraph was manually vetted by our editorial team and was first featured on 2025-05-02.
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