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Compare SEON vs Simility

In this article, we will give you a brief overview of Simility’s history, its product stack, and how it compares to SEON. 

Disclaimer: Everything you’ll read below about the companies mentioned in this article was gleaned from online research, including user reviews. We did not have time to manually test every tool. However, we ensured the information was correct as of Q3 2022. Please feel free to contact us to request an update/correction. Images have been sourced from review sites.

About Simility

Co-headquartered in Palo Alto, California, and Hyderabad, India, Simility offers a complete end-to-end fraud and decisioning platform to support businesses in the fight against digital fraud. 

It was founded by ex-Google and Amazon employees in 2014 and acquired by PayPal for $120 million in 2018. Their clients are mainly enterprise customers across financial services and retail with names such as African ecommerce platform Jumia, luxury retailer Luisa Via Roma, and some of the top 50 banks in the US.

Simility Key products

  • Simility’s offering is built upon its Adaptive Decisioning Platform, which is described as a “data-first approach”, through a combination of AI and big data visualization. 
  • Its device intelligence analyzes more than 350 browser, mobile, desktop, and network data points and combines this with transactional data stemming from the user’s purchase.
  • Simility offers a graph visualization solution to enable analysts to visualize connections between data points and uncover potential fraud patterns.
Pros of Simility
  • Since the acquisition, Simility’s services have benefited from using PayPal’s extensive dataset along with its own database.
  • Its graph visualization solution is more suited to certain analysts’ preferences for viewing fraud.
  • On offer is a chargeback protection module, which, in combination with the automation aspect, allows merchants to concentrate on other aspects of their business.
Cons of Simility
  • Despite the advantages of working with PayPal, Simility still handles potentially stale data, which can lead to more false positives.
  • The company is more focused on enterprise clients and therefore will offer more structured contracts vs a pay-as-you-go model.

SEON vs Simility Features Comparison Table

SEON Simility
Data aggregation
IP analysisYesYes
Email data enrichment YesYes
Phone data enrichmentYesYes
Find user social mediaYes, checks 50+ platformsNo
Device fingerprintingYesYes
Transaction BINYesNo
Behavior trackingYes, via custom rulesYes
User authenticationYesYes
Risk analysis
Custom rulesYesYes
Machine learning suggestionsYesYes
Industry preset rulesYesYes
Risk scoringYesYes
Integration
API callsYesNo
Modular APIsYesNo
Custom API fieldsYesYes
GUIYesYes
Chrome extensionYes No
Manual queryYesNo
Graph visualizationNoYes
ReportingYesYes
Team managementYesYes
Integration with other toolsYesOnly with PayPal services
Pricing
Chargeback guaranteeNoYes
Free integrationYesNo
Free supportYesYes
Free trialYesNo
Cost per monthFlexible tiered pricing based on API requests starting from $99.N/A. Contact their sales team. 
Compare SEON with Simility

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Where Simility Wins Over SEON

  • The availability of graph visualization might be better suited to certain fraud teams based on their previous experiences of working with software, as it can give a clearer insight to potential fraudulent connections.

Where SEON Wins Over Simility

  • SEON offers more comprehensive customer insights pre-signup with the live digital profiling tool to give you extra confidence when making a decision. 
  • More flexibility with individual APIs, pay-per-use and intergration with other tools allows you to develop a multi-layered defense at an affordable price. 
Choose SEON if
  • You’re looking for an additional solution that can complement your existing risk stack or act as a standalone fraud system with input from both your team and a dedicated customer success team of fraud fighters.
  • Choose Simility if
  • You’re looking to automate the majority of your risk management process and require graph visualization capabilities to spot potential fraud patterns between accounts.
  • Further Reading

    Learn more about:

    Browser Fingerprinting | Data EnrichmentDevice Fingerprinting | Fraud Detection API | Fraud Detection Machine Learning | Fraud Detection & Prevention

    Try our free tools:

    BIN Lookup | IP Lookup | Reverse Email Lookup | Reverse Phone Lookup | Social Media Lookup

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    SEON Team


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