Gracenote vs Sabio

Index Exchange CEO: Sell-Side Innovation, CTV Transparency, AI Agents

In an interview with ADZINE, Andrew Casale, CEO of Index Exchange, discusses the evolution of programmatic advertising. He argues that sell-side innovation, including modeling and containerization, is increasing complexity but also value. Buyers can now run their own models on the sell-side, democratizing decision-making. Casale addresses the black box concern, noting that while the internal logic of buyer models is opaque, the platform observes their actions. He highlights the shift towards modular infrastructure, with Index enabling data providers and DSPs to run modules on its cloud. Regarding CTV, Casale emphasizes the need for more transparency, noting that while genre data is increasingly available, show and episode data remain limited due to legal and distribution issues. He discusses the evolution of pod serving and the role of agentic advertising, distinguishing between workflow automation and impression-level decisioning, which remains the domain of mathematical models. Casale sees AI agents as useful for automating manual tasks but not as a revolution that will shift power from walled gardens.

• Andrew Casale, CEO of Index Exchange, discussed sell-side innovation, CTV transparency, and AI agents in an interview.
• Index Exchange processes around 20 million requests per second.
• Most of Index Exchange's CTV supply includes genre data; show and episode data are often kept for direct deals.

CTV Show-Level Data Glut Fails to Deliver Optimization Control

While CTV buyers increasingly demand show-level transparency, a new IAB report shows 43% lack confidence in inventory. Despite progress in show-level reporting, true program-level optimization remains elusive. Publishers and exchanges offer data, but limitations persist: incomplete bidstream signals, "unknown" titles, and lack of scaled optimization solutions. Privacy laws like VPPA, combined with household-level data, complicate sharing. Linear TV offers program-level control by design, while CTV faces a gap between reporting and active optimization. Buyers can receive post-campaign reports but can't programmatically target individual shows at scale, except via programmatic guaranteed deals. The industry is working toward compliant, scaled optimization, but meaningful progress is still needed.

• 43% of CTV buyers have little or no confidence in the inventory they buy (IAB).
• Major exchanges do not offer scaled show-level optimization as a standard product.
• One top-five streamer's SSP integration prevents pulling show-level reporting.

Gracenote expands AI product roadmap with sports MCP server, entertainment SLM and agents

The expansion comes as companies adopt general-purpose LLMs to improve viewer experiences, guide content decisions and streamline operations.

Sabio and Gentoro Partner on Agentic AI for AdOps

Sabio Holdings and Gentoro announced a collaboration to integrate agentic AI into Sabio’s DSP environment, beginning with internal workflows and a natural-language self-serve user interface. The initial deployment will use Gentoro’s Campaign Management (CM) Agent to streamline campaign management, reduce repetitive manual work, and enable AI agents to operate across Sabio’s existing tech stack (DSP, SSP, SSAI, Creator TV®, App Science® household graph and first-party data). Sabio CEO Aziz Rahimtoola and Gentoro CEO Pervez Choudhry are quoted highlighting operational efficiency and scalability. The partnership aims to extend agentic AI from analysis into operational workflows and to explore additional advertising operations use cases over time. Publication date: 2026-08-26.

• Sabio Holdings and Gentoro announced a collaboration to bring agentic AI into Sabio’s DSP environment, starting with internal workflows and a natural language self-serve UI.
• The initial implementation will use Gentoro’s Campaign Management (CM) Agent to streamline campaign management and reduce repetitive manual work.
• Gentoro’s MCP-based agentic architecture is described as enabling AI agents to work securely across Sabio’s existing technology environment.