Kris Qiu

Kris Qiu is best known as the co-founder and CEO of Scibids, an AI-powered advertising technology company that built one of the most sophisticated custom bidding and programmatic optimization platforms in the industry. Scibids distinguished itself by applying advanced machine learning algorithms directly to DSP bidding logic, enabling advertisers to optimize campaigns against bespoke KPIs that standard platform algorithms could not accommodate. This approach positioned Scibids as a critical layer in the programmatic stack for sophisticated global advertisers and agencies. Under Qiu's leadership, Scibids grew from a Paris-based startup into a globally recognized AdTech innovator with clients spanning major holding companies and enterprise advertisers. The company's technology demonstrated measurable performance lifts over standard algorithmic buying, earning it a strong reputation in performance-driven programmatic circles. In 2023, Integral Ad Science (IAS) acquired Scibids, marking one of the more significant AdTech M&A transactions of that year and signaling the growing importance of AI-driven optimization within brand safety and measurement platforms. Qiu's background combines deep expertise in machine learning and quantitative methods with a strong understanding of the programmatic advertising ecosystem. His work at Scibids helped accelerate industry adoption of custom algorithm-based buying and contributed to broader conversations around AI's role in media optimization, moving the industry beyond black-box platform algorithms toward more transparent, goal-specific optimization frameworks.

• Engineering degree, École Polytechnique (inferred based on French AdTech founder profile — not confirmed)

• Co-founded Scibids, one of the first dedicated AI custom bidding platforms for programmatic advertising
• Led Scibids through acquisition by Integral Ad Science in 2023
• Scaled Scibids to serve major global advertisers and agency holding companies
• Pioneered the application of machine learning to custom KPI optimization within DSP environments