FUGU - Every Payment Counts

FUGU’s unique ability to monitor and analyze risk signals over time covers a variety of fraud patterns including stolen identities, account takeovers and friendly fraud, securing recurring payments and new delayed payment models such as Buy Now Pay Later.

Minimize false declines and payment churn

Rather than declining transactions based on information available at the point of sale, FUGU continues to analyze the customer behavior post-checkout by activating different sensors and verification processes. The signs of risk and evidence of value delivery are collected, to make sure maximum orders are validated before shipment or delivery.

Reduce operational cost

FUGU’s post-checkout KYC capabilities allow online merchants to validate the most suspicious transaction with 0 manual labor cost. All KYC outputs and interaction trails are representable with a click of a button saving hours of tedious human labor responding to unjustified disputes.

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Safely accept more transactions

Fight fraud

Minimize false declines and payment churn

Reduce operational cost

Play Video

Safely accept more transactions

Fight fraud

Minimize false declines and payment churn

Reduce operational cost

Play Video

Multi-Tier Fraud Protection

FUGU offers a 360° self-learning fraud prevention strategy fighting fraud at various points along the transaction life cycle. Now online sellers can be sure that maximum transactions are approved with minimal exposure to future chargebacks.

ORDER CREATED

Initial Risk Profiling

Relating each payment to a configurable risk scenario indicating different levels of verification requirements, if any and routing order to different fulfilment methods.

POST CHECKOUT

Payment Monitoring & KYC Automation

Continuous payment monitoring and automated KYC procedures alert to abnormal transaction changes, customer interactions including the collection of selfie id’s, credit card scans, age verifications and proof of residence.

PRE SHIPMENT

Risk Scoring

Alerting on fraudulent transactions right before shipment based on the customer’s extended interaction trail offering a full chargeback guarantee to selected customers.

POST DELIVERY

ChargebackManagement

Long after the payment, in the unfortunate case of a customer filing an unjustified chargeback, the customer’s entire interaction trail is available as representable documents ready to challenge it.

Multi-Tier Fraud Protection

ORDER CREATED

Initial Risk Profiling

Relating each payment to a configurable risk scenario indicating different levels of verification requirements, if any and routing order to different fulfilment methods.

POST CHECKOUT

Payment Monitoring & KYC Automation

PRE SHIPMENT

Risk Scoring

Alerting on fraudulent transactions right before shipment based on the customer’s extended interaction trail offering a full chargeback guarantee to selected customers.

POST DELIVERY

ChargebackManagement

Risk Scoring

FUGU continues to analyze the customer behavior post-checkout. Overseeing a wide set of unique data points including website visits, submissions and searches, support chat threads, email interactions, transaction, and KYC outputs.

Each new risk signal is added to the transaction interaction trail vector scored for the overall Sentiment, Stability, Cooperation, Coherency, Trackability and History.

Risk Scoring

Each new risk signal is added to the transaction interaction trail vector scored for the overall Sentiment, Stability, Cooperation, Coherency, Trackability and History.

Covering a wide variety of fraud types

As eCommerce fraud evolves and becomes more sophisticated, FUGU’s self-learning algorithms quickly adapt to a variety of fraud types beyond the traditional imposter.

Traditional Fraudster

Using hacked data and stolen cards fraudster turn to exploit any vulnerability in the Post Payment to commit fraud.

Friendly / Disappointed

A legit customer working in good faith, turning sour for any given reason; abusing the dispute out of frustration.

Seems like a fraudster

This one may look as a sophisticated fraud, but actually is a "kosher" customer you just turned around

Family member

A family member, authorized or not to using other family member credit card details that may result in a chargeback

Covering a wide variety of fraud types

As eCommerce fraud evolves and becomes more sophisticated, FUGU’s self-learning algorithms quickly adapt to a variety of fraud types beyond the traditional imposter.

Traditional Fraudster

Using hacked data and stolen cards fraudster turn to exploit any vulnerability in the Post Payment to commit fraud.

Friendly / Disappointed

A legit customer working in good faith, turning sour for any given reason; abusing the dispute out of frustration.

Seems like a fraudster

This one may look as a sophisticated fraud, but actually is a "kosher" customer you just turned around

Family member

A family member, authorized or not to using other family member credit card details that may result in a chargeback

Covering a wide variety of fraud types

As eCommerce fraud evolves and becomes more sophisticated, FUGU’s self-learning algorithms quickly adapt to a variety of fraud types beyond the traditional imposter.

Traditional Fraudster

Using hacked data and stolen cards fraudster turn to exploit any vulnerability in the Post Payment to commit fraud.

Friendly / Disappointed

A legit customer working in good faith, turning sour for any given reason; abusing the dispute out of frustration.

Seems like a fraudster

This one may look as a sophisticated fraud, but actually is a "kosher" customer you just turned around

Family member

A family member, authorized or not to using other family member credit card details that may result in a chargeback

Why Us

Before the internet grandpa Moshe, never rejected a customer. Today, online merchants are forced to make binary decisions @ pos losing life time value of insulted customers. As technology pioneers, sons and grandsons of merchants, our passion in FUGU is weaving modern machine learning technologies with time proven business and risk tactics to help online merchants maximize return on their online assets.