Leveraged artificial intelligence and machine learning to optimize programmatic advertising campaigns in real-time, improving ROI by identifying and bidding on the most valuable impressions.
Last updated Mar 7, 2026 by AI Enrichment
AI-driven optimization layer for programmatic advertising, acquired by IAS to enhance their optimization capabilities
Scibids was a French AdTech company that developed AI-powered optimization technology for programmatic advertising campaigns. Founded in 2016, the company specialized in using machine learning algorithms to improve the performance of digital advertising by optimizing bidding strategies in real-time across programmatic platforms. Scibids' technology enabled advertisers and agencies to enhance campaign performance by analyzing vast amounts of data to identify the most valuable impressions and adjust bids accordingly. In September 2021, Scibids was acquired by Integral Ad Science (IAS), a global leader in digital media quality. The acquisition allowed IAS to integrate Scibids' AI-driven optimization capabilities into its existing suite of verification and optimization solutions. Following the acquisition, Scibids' technology was incorporated into IAS's product offerings, particularly enhancing IAS's ability to provide advertisers with both media quality verification and performance optimization in a unified platform. The acquisition represented a strategic move by IAS to expand beyond traditional verification services into optimization, combining Scibids' machine learning expertise with IAS's extensive media quality data. While Scibids operated as a distinct entity prior to acquisition, its technology and team were integrated into IAS's broader operations, with the Scibids brand eventually being absorbed into the IAS product portfolio.
Machine learning-powered bidding optimization for programmatic campaigns across multiple DSPs
Allowed advertisers to create custom optimization algorithms tailored to specific KPIs and campaign objectives