MarqVision (YC 21)
How can we efficiently & effectively protect creativity and innovation in a digital world?
Project
MarqVision is an AI-powered platform for intellectual property and brand protection, using machine learning to combat counterfeits and infringements online. It enables brands to efficiently monitor and enforce their rights across digital platforms.
Scope of Work
User Research
User Testing
Wireframing
Prototyping
Problem Scope
Rapidly growing global counterfeit market
MarqVision is addressing the rapidly growing global counterfeit market by leveraging advanced AI technology to provide businesses with innovative solutions for identifying and combating counterfeit goods.
Annual rise in number of counterfeits
Counterfeits are the largest criminal enterprise in the world, with domestic and international sales of counterfeit and pirated goods totaling between an estimated $1.7 trillion and $4.5 trillion a year—a higher amount than either drugs or human trafficking.
Intricate seller network
Counterfeit seller networks are difficult to locate since they are constantly shifting, operating through various anonymous and transient online platforms to avoid legal consequences.
Seller painpoint
Detection itself is an arduous task, but law enforcement is nearly impossible
With overflowing # of social channels and listing volumes, it is challenging than ever to detect listings online and more so with enforcement.
Solution
Hybrid AI approach for faster detection
The new approach combines cutting-edge AI with human expertise to accelerate the identification of counterfeit products, enhancing the speed and accuracy of brand protection efforts.
Traditional approach
Tackle counterfeit issues offline at the manufacturer level which was costly, time consuming, and resource heavy.
MarqVision approach
With the right technology and innovation, it’s now possible to tackle the issue effectively at scale & speed.
Combating counterfeit
How it works: from detection to reporting
Efficient workflow that rapidly identifies counterfeit goods using AI technology and smoothly transitions to reporting these findings, enabling brands to take swift and informed actions against counterfeits.
Detection
Using Atomic Product Detections technology, it scans through millions of product listings with the right product category with remarkable accuracy.
Enforcement
Bring Gen AI into the enforcement process by automating the creation of documentation required to submit takedown notices to marketplaces.
Smart Reporting
Automatically generate and send demand letters to thousands of infringers globally, just at the touch of a finger.
Project Task I: Detection
Visualizing detections better
Seller mapping was created for clients to uncover deeper seller networks. Over time, we realized that a lot of the sellers are interconnected, and thus found the need to visualize all degrees of sellers in a web-like format.
Design Iteration
Limited info on sellers & their networks
The design of the original dashboard's listing view hindered users' ability to visualize sellers connections and types.
From a simple list to multi-level clusters
The new seller mapping dashboard allows clients to use intuitive visuals to form clusters based on similar seller data.
Project Task II: Enforcement
A next-gen data driven enforcement
In the sea of detections, inability to see which process the listing is undergoing has been a critical issue that has been brought up many times. In the new dashboard, users are able to view listings according to status types (detected, reported, enforced, and case closed).
Design Iteration
Unclear status representation
Many clients reported that it’s difficult to know what each status actually represents. Does “enforced” mean that it has been taken to the police? Is there any way to view listing by status types?
Clear status denotation & a new side panel
The new dashboard allows clients to easily view listing by status types with a clear indication of sequence, and conveniently view both the listing + detail view in a single page.
