The Brandtech Group Launches Global AI Data Unit
The new Brandtech Data division consolidates expertise from fifty-five, DP6, and Jellyfish to scale AI transformation services.
Updated on Oct. 26, 2026 in Advertising
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The Brandtech Group has officially launched Brandtech Data, a unified unit integrating AI and data specialists from its existing agencies. The new division aims to solve fragmented data challenges while helping global clients prepare for artificial intelligence systems.
Why it matters
As companies struggle with data scattered across different platforms and markets, this consolidation provides a single framework for managing complex AI transformation. By aligning data, media, and technology, the group seeks to optimize business outcomes through centralized expertise.
Brandtech Data manages over $100 million in annual revenue with a team of 500 specialists operating across 22 countries. Previous AI-led optimizations include an 83% eCommerce revenue increase for Salomon and $4.5 million in savings for TotalEnergies.
The players
Will Heins
He serves as the Chief Executive Officer of the newly formed Brandtech Data unit.
Pierre Harand
He acts as the President of Brandtech Data to oversee the organization of global data operations.
The Brandtech Group
This global company specializes in providing marketing and technology solutions to enterprise clients.
The details
The unit integrates specialist teams from fifty-five, DP6, and Jellyfish into a single practice to provide services in AI transformation and customer experience. This structure aims to streamline operations across creative, media, and technology departments for global clients.
Timeline
The Brandtech Group launched Brandtech Data on October 26, 2026.
Market Landscape
The launch of Brandtech Data reflects the broader industry trend of integrating AI-based marketing mix modelling to drive efficiency. This consolidation positions the group to capture market share by offering a unified alternative to traditional fragmented agency models.
Clients of the participating agencies can expect a more centralized approach to data management and AI-driven campaign optimizations. This shift aims to reduce the friction of working across multiple platforms by providing a unified service framework.
The takeaway
Businesses looking to leverage artificial intelligence must prioritize cleaning and centralizing their internal data to see tangible results. Scaling AI operations effectively often requires moving away from siloed teams toward an integrated organizational model.
Further reading
Learn more about evolving industry strategies in the Advertising section.
Source note: This article includes information reported by eCommerceNews Australia.
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