Software Alternatives, Accelerators & Startups

Verifai VS Riskified

Compare Verifai VS Riskified and see what are their differences

Verifai logo Verifai

Verifai is an identity verification software solution that lets users verify a user’s identity using facial recognition and biometric data.

Riskified logo Riskified

eCommerce fraud prevention solution and chargeback protection guarantee for online merchants. Find out how we can help your company boost revenue from online sales using our machine-learning powered eCommerce fraud protection software.
  • Verifai Landing page
    Landing page //
    2023-02-05
  • Riskified Landing page
    Landing page //
    2023-10-20

Riskified

Release Date
2012 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Assaf Feldman
Employees
500 - 999

Verifai videos

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Riskified videos

Riskified Educational Webinar: Automating The Fraud Review Process (Summer Boot Camp - 2nd Webinar)

More videos:

  • Review - Riskified Educational Webinar: Optimal Manual Review (Summer Boot Camp - 3rd Webinar)
  • Review - Riskified : Nanoleaf case study

Category Popularity

0-100% (relative to Verifai and Riskified)
Security & Privacy
100 100%
0% 0
eCommerce
0 0%
100% 100
Identity And Access Management
Fraud Prevention
0 0%
100% 100

User comments

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What are some alternatives?

When comparing Verifai and Riskified, you can also consider the following products

IDology - IDology offers real-time and on-demand identity verification and fraud prevention solutions.

Signifyd - Signifyd is a SaaS-based, enterprise-grade fraud technology solution for e-commerce stores.

Mitek Mobile Verify - Mitek Mobile Verify is an Identity verification solution that delivers I.D.

Kount - eCommerce fraud detection & prevention

AU10TIX - AU10TIX provides solutions for automating ID document authentication, validation and conversion to workable digital records. 

Sift - Digital Trust & Safety enables your business to grow, innovate, introduce new products, features, and business models – without increased risk.