RiskCogsOrsun Tech OÜ
|
||||||
Related Products
|
||||||
About
Digital fraud prevention and risk assessment services for fintech companies. Device risk assessment and online user protection via non-personal and behavioral data analysis technologies. Prevent fraudulent activities, reduce the risk of threats, and gain new clients with sustainable portfolio growth. JuicyScore allows you to identify different types of fraud, shady behavior, and user intentions, segment the incoming flow based on risk level, and raise the informative value and resolution of your decision-making systems. Ensure robust personal account security for your clients and increase conversion of online transactions. JuicyID enables instant seamless client authentication, protecting their sensitive data and narrowing down fraudulent actions and intentions. We identify various kinds of technical and social fraud, determine segments of high and low risk, provide a broad data vector to enrich your own scoring models and increase the resolution of your decision-making system.
|
About
RiskCogs is a payment-fraud risk scoring module for online businesses. It evaluates payment, device, identity, IP and behavioral signals to produce explainable risk scores and linked-account context for transaction review. Fraud and operations teams can inspect signals and related accounts in a review queue, configure thresholds and rules, and test rule changes in shadow mode before applying them. A browser SDK and server API let developers submit transaction context and receive assessments; webhooks report assessment events, and a feedback API accepts later outcomes such as chargebacks. RiskCogs is designed to add risk context alongside existing payment processing, with merchants configuring decision thresholds and actions. Use cases include payment fraud review, card testing, account takeover, multi-accounting and subscription abuse. Product access and scope depend on account setup.
|
|||||
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
Fintechs in search of a solution to identify, asses, manage, and prevent fraud
|
Audience
Fraud operations, risk and engineering teams at online businesses.
|
|||||
Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
|
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
|||||
API
Offers API
Supported
|
API
Offers API
Supported
|
|||||
Screenshots and Videos |
Screenshots and VideosNo images available
|
|||||
Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
|
Pricing
€0/month
Shadow: €0/month, capped at 500 risk decisions and 200 monthly active users; never billed. Starter: €49/month, including 5,000 decisions and 1,000 users; overages are €0.02 per decision and €29.95 per extra 1,000 users. Growth: €299/month, including 50,000 decisions and 10,000 users; overages are €0.005 per decision and €19.95 per extra 1,000 users. Enterprise pricing is custom. Prices are in EUR, billed monthly, excluding VAT. Availability, scope, and support commitments depend on account setup.
Free Version
Supported
Free Trial
Not Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
|
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
|||||
Company InformationJuicyScore
Founded: 2016
Singapore
juicyscore.ai/
|
Company InformationOrsun Tech OÜ
Founded: 2026
Estonia
riskcogs.com
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
||||||
|
|
||||||
|
|
|
|||||
Categories |
Categories |
|||||
Integrations
CREDITONLINE
Not Supported
Moneyman
Not Supported
tabby
Not Supported
|
||||||
|
|
|