Stagwell is advancing its vision for the future of marketing with the introduction of new privacy protective technology developed in partnership with Harvard University’s OpenDP initiative. The company announced that differential privacy capabilities from OpenDP will underpin the AI and data platform Stagwell is building with Palantir, marking a significant step toward ensuring rigorous customer privacy at scale. As marketing organizations rely more heavily on large datasets and AI driven analysis, the integration signals a commitment to using advanced mathematical frameworks to protect individual level information while still enabling powerful audience insights.
The Palantir Stagwell platform, first unveiled in November 2025, aims to provide a central hub for enterprise marketing intelligence. The system is designed to give large brands the ability to identify, segment, and understand audiences by processing tens of millions of records in minutes. With agentic capabilities and AI powered orchestration, the platform will support use cases such as audience building, optimization, and campaign management across the entire performance lifecycle. Stagwell sees privacy as foundational to the platform’s credibility and long term adoption.
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“We believe privacy must be built into our products and solutions from the start, not something you bolt on later,” said Mark Penn, Chairman and CEO of Stagwell. “That is why we have teamed up with Harvard’s OpenDP to uphold rigorous protection at every step.” His comments reflect a broader shift in the industry, where data privacy has become a competitive differentiator and a core component of responsible AI development.
OpenDP co director Gary King said the partnership will bring real value to Stagwell’s work. “We are excited to bring OpenDP’s differential privacy technology to Stagwell’s business and customers,” he said. “This collaboration will create real value for Stagwell’s product for the future of marketing and should also help improve our privacy protective methods available to all.” The OpenDP framework uses statistically controlled noise to ensure that insights remain accurate while individual identities remain protected. This approach has already been adopted in high impact national and policy contexts, including by the U.S. Census Bureau.
By embedding differential privacy directly into the Palantir Stagwell platform, the companies aim to create a transparent and academically validated privacy model for sensitive data. The integration is designed to support scalable enterprise use cases without compromising confidentiality, making it possible to activate data for insights while ensuring that individual level information remains secure.
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John Kahan, Chief AI Officer at Stagwell, said privacy has long been central to his work in technology. “During my nearly four decades working at Microsoft and IBM, we recognized privacy was a critical feature that all customers deserve. At Stagwell, it is no different. We appreciate that privacy done right adds value to customers and allows us to maintain trust with shareholders and employees alike.” His remarks highlight the company’s philosophy that trust is inseparable from innovation.
Early versions of the Palantir Stagwell platform are already being tested with clients in the United States. As brands increasingly embrace AI systems to drive business outcomes, Stagwell’s approach reinforces that scalable intelligence must be matched with equally scalable privacy protections.
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