Founded in 2018, Wunderman Thompson is a global marketing communications agency based in New York. It was formed when their parent company WPP plc merged holding company J. Walter Thompson with digital agency Wunderman.
WPP Open Brand Guardian, created by Wunderman Thompson, is an AI-driven platform that gives marketing, creative, and production teams total content quality assurance at scale.
Brand Guardian complements any corporate asset assurance system with an AI-driven custom rules engine that reduces the time necessary for manual asset checking. Wunderman Thompson’s tool promises:
In short, Brand Guardian reviews creative assets—images, video, and text—and provides valuable and immediate insights. It can be plugged into the existing production process and the current toolset.
The main task for us was to introduce a robust ML solution that will help assess content quality at scale and accelerate the process of onboarding new clients. We identified the main bottlenecks: the data gathering process, ease of introducing new evaluation rules, and speed of asset processing.
Our work focused on redesigning the architecture, allowing existing models and algorithms to be reused and run on a large scale. Part of the solution was introducing ML-focused microservices with better-defined responsibilities. By doing so, we were able to more easily auto-scale with an independent group of computing endpoints in Kubernetes.
We addressed the challenge of detecting undefined, custom image parts (such as logos, fonts, and particular objects). In addition, we created a framework for generating new training datasets (using data augmentation and synthetic data). The framework accelerates training and provides agile and robust solutions for client requirements. New, artificially created data solves the problem of detection.
We also suggested a messaging system for running most machine learning and computer vision tasks by multiple Celery workers in parallel. It allows computing each “rule” as a separate task and processing the entire asset analysis pipeline, significantly improving performance.
Head of Machine Learning and Data Engineering @ STX Next
If you’re planning to build a software product, but don’t have the skills or capacity to do it—we can help you just like we’ve helped Wunderman Thompson.
We’ve created marketplaces, internal deployment tools, community platforms, and much more for clients like Mastercard, Unity, or Decathlon.
We can take your product from a vague concept all the way to launch, then keep growing it with you using industry best practices and technological innovations.
Start small with just two developers or hire a full team from the start—we’re ready for any challenge that comes our way.
Head over here to contact us and tell us about your project!