Fake products
Reduce reputational risk and improve UX
Based on your platform’s contextual information, publication data, merchant and users’ interaction our model can be used to detect fake products before publication
Our Solutions
Our modular solution consists of a variety of complementary components that can be combined to address your unique challenges
Deep Learning Model
a robust model to analyze images, chats, questions and any publication on your platform
Business rules
to guarantee your platform-specific policies
Real-time Monitoring System
to detect and report anomalies
Automated Feature Engineering
enabling consumption of new data sources on the fly
MODERATING CONTENT ACROSS MANY CHANNELS AND INDUSTRIES
We offer a unique solution for any use case presented in both on- and off-platform
FAKE PRODUCTS
PROHIBITED ITEMS
Prohibited items
Mitigate reputational risk
Use our model to detect and moderate real-time publications that violate your platform’s policies
SCAMS & FEE EVASION
Scams & fee evasion
Reduce revenue loss and improve UX
Based on merchants’ history data and their interaction with users, our model can detect potential scams and fee evasion attempts on the spot
FAKE NEWS
Fake news
Mitigate reputational risk and improve UX
Use our model to prevent fake news from spreading, analyzing the content and publisher’s legitimacy, the users relational network and the social velocity of the publication
HATE SPEECH
Hate speech
Improve UX
Our model can be trained to prevent hate speech from escalating while guaranteeing freedom of speech in your platform, analyzing publications’ content, relational network and social velocity
CHILD SAFETY POLICIES
Child safety policies
Mitigate reputational risk and improve UX
Our model can be trained with your platform-specific policies to guarantee safety while maintaining a suitable tradeoff with a varied and diverse offer of content
INTELLECTUAL PROPERTY INFRINGEMENT
Intellectual property infringement
Mitigate reputational risk
Use our model to detect copyright policies violation within your platform to apply tracking, monetizing or blocking policies
Fake products
Reduce reputational risk and improve UX
Based on your platform’s contextual information, publication data, merchant and users’ interaction our model can be used to detect fake products before publication
Prohibited items
Mitigate reputational risk
Use our model to detect and moderate real-time publications that violate your platform’s policies
Scams & fee evasion
Reduce revenue loss and improve UX
Based on merchants’ history data and their interaction with users, our model can detect potential scams and fee evasion attempts on the spot
Fake news
Mitigate reputational risk and improve UX
Use our model to prevent fake news from spreading, analyzing the content and publisher’s legitimacy, the users relational network and the social velocity of the publication
Hate speech
Improve UX
Our model can be trained to prevent hate speech from escalating while guaranteeing freedom of speech in your platform, analyzing publications’ content, relational network and social velocity
Child safety policies
Mitigate reputational risk and improve UX
Our model can be trained with your platform-specific policies to guarantee safety while maintaining a suitable tradeoff with a varied and diverse offer of content
Intellectual property infringement
Mitigate reputational risk
Use our model to detect copyright policies violation within your platform to apply tracking, monetizing or blocking policies