The Brandtech Group Launched AI Data Practice
The firm has united over 500 global specialists to help brands move from artificial intelligence strategy to execution.
Updated on Oct. 12, 2026 in Artificial Intelligence
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The Brandtech Group has launched a new global data and artificial intelligence practice to help clients transition from theory to business results. The unit combines expertise from across 22 countries to streamline data foundations and customer experience.
Why it matters
The practice aims to bridge the gap between abstract AI strategy and measurable business outcomes for global clients. By consolidating fragmented data, the group enables businesses to implement sophisticated personalization and decisioning tools.
The new practice integrates over 500 specialists representing more than $100 million in revenue across 22 countries. It leverages existing data and technology capabilities from firms including fifty-five, DP6, and Jellyfish.
The players
The Brandtech Group
This is a marketing technology company that connects data, creative, media, and technology capabilities.
Will Heins
He serves as the CEO of Brandtech Data and leads the new initiative.
Pierre Harand
He serves as the President of Brandtech Data and oversees the practice's operations.
The details
The practice integrates data expertise with creative and media capabilities from entities like Pencil, OLIVER, and Jellyfish to unify complex information across multiple platforms. It maintains a partnership with the Google Marketing Platform to drive its AI transformation and measurement initiatives.
Timeline
October 12, 2026: The Brandtech Group announced the launch of the new practice.
The Tech Race
The formation of this practice reflects a wider industry pivot toward unifying fragmented data stacks to compete in the crowded AI-driven marketing sector. It marks a transition from simple software adoption to the deep integration of technical ecosystems like the Google Marketing Platform.
Clients and brand partners can expect more integrated data insights and improved personalization capabilities across their marketing channels. This centralization aims to reduce the complexity of managing data across multiple teams and disparate platforms.
The takeaway
Businesses looking to capitalize on AI must prioritize clean data foundations before attempting complex implementation. Achieving success in this space requires linking technical expertise with clear business outcomes rather than focusing on the technology in isolation.
Further reading
Learn more about the latest innovations in Artificial Intelligence.
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Do you trust companies that prioritize AI data practices to better serve your personal needs?
