The Pasabi platform automatically takes content about your brand and products posted to your site, app, social media channels, marketplaces and ecommerce platforms and runs it through a series of sophisticated checks to look for the tell-tale signs of fabrication or other negative activity.

Here are some of the tools and techniques we use:

Natural Language Processing

This is a classic artificial intelligence technique that we have built from scratch and honed to break down the language used within reviews or posts, highlighting key phrases that help us identify nefarious activity.

Machine learning classifiers

Trained using hundreds of thousands of examples, our classifiers spot the language style of fake, spam and scam reviews. We also use these techniques to identify the language and behaviours of people selling counterfeit or grey goods.

Time series graph analysis

Fraudsters tend to post in patterns that we can spot over time. By tracking their behaviour and activity, we can see spikes in the graphs that are the red-alerts for suspicious activity. If it looks too good to be true (or too bad to be true!) then it probably is.

Cluster identification

The worst culprits tend to work together. Whether it is groups of individuals who are working as one organisation, or a series of “bots” (automated systems that use fake accounts) being deployed alongside real users, Pasabi uses the latest cluster detection technology and bespoke algorithms to identify these groups.

What is the end result?

The output of all this work is verified, quality content. We help you to remove the bad content directly from the forums and review sections of your website and apps. We also identify content that is posted on social media, marketplaces and ecommerce sites that infringes your trademarks and copyrights.

All of this leads to increased trust.

Trust from consumers who rely on your service to make informed decisions and want to authentically engage with your brand and products on social media and marketplaces.

Trust from business customers who benefit from being associated with a company that values authenticity.

Discover how we apply our technology to online brand protection and online reviews.