On December 2, 2024, TaskUs, Inc., a leading provider of outsourced digital services and next-generation customer experience for the world’s most innovative companies, and Red Points, the top provider of AI-driven brand protection solutions, announced their strategic partnership. This collaboration combines expertise in Financial Crime and Compliance, Trust & Safety, and the world’s most widely used brand protection technology to protect organizations from digital fraud and intellectual property (IP) violations—a growing problem that causes an estimated $2 trillion in losses annually.
Through this partnership, TaskUs and Red Points provide clients with an end-to-end digital protection system that integrates artificial intelligence (AI) and human expertise to defend against counterfeit products, brand impersonations, fake accounts, and fraudulent credentials. Such activities can harm a brand’s reputation, erode trust among distributors, and damage customer loyalty.
End-to-End AI-Driven Digital Protection
The joint solution utilizes TaskUs’s signature AI+Human-in-the-loop framework and Red Points’ advanced detection and enforcement technology, creating an adaptive feedback loop for detecting and preventing fraud.
The initial AI-enabled detection scans millions of data points to identify potential fraudulent activity. AI and human expertise assist with logo and image recognition, optical character recognition (OCR), and forensics to pinpoint potentially infringing content. The protection system also includes enforcement capabilities, such as sending takedown requests to platforms and websites hosting the violating content. It continually monitors infringing links and conducts daily searches for future fraudulent content.
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Driving Tangible Client Impact
The partnership delivers measurable business impact in several areas:
- AI Brand Protection: By combining Red Points’ technology and TaskUs’s Trust & Safety expertise, clients gain access to advanced, automated tools for detecting, removing, and preventing counterfeiting, piracy, and other forms of IP infringement. This proactive approach allows brands to manage digital threats across marketplaces and channels more effectively.
- Strengthened Trust and Safety: Clients relying on TaskUs for trust and safety services benefit from a faster, more accurate identification and resolution of counterfeit goods and digital IP violations, helping to maintain brand integrity and customer trust. The partnership also supports compliance with privacy and safety regulations like the European Union’s Digital Services Act (DSA).
- Improved Response Time: Red Points’ AI-powered tools speed up response times, providing scalable protection, especially for clients facing large volumes of IP violations. This enables brands to defend their reputations more quickly and comprehensively.
- Reduced Costs: The AI+Human-in-the-loop approach reduces operational costs, enabling clients to reallocate resources to other strategic priorities.
Clients leveraging this end-to-end solution have already seen significant benefits. It has helped detect counterfeit products and other IP violations that threatened over $500 million in potential revenue.
“This partnership and digital protection service come at the perfect time as counterfeit and IP violations are surging,” said Phil Tomlinson, SVP, Global Offerings at TaskUs. “We believe our deep knowledge of the marketplace and solutions are a perfect match for Red Points’ industry-leading brand protection technology. This collaboration further highlights our ongoing commitment to helping clients succeed while safeguarding their brand integrity.”
“We are thrilled to partner with TaskUs, a collaboration that reflects our shared commitment to innovation and advancing digital safety,” said Laura Urquizu, CEO & President of Red Points. “Through our intuitive AI platform and TaskUs’s unique AI+Human-in-the-loop framework, clients will be able to leverage a one-of-a-kind, end-to-end solution that protects against fraud while enabling them to stay focused on their business goals.”