LiveRamp Expands Its Marketplace to Data, Models, and Agents for AI Use Cases

Why It Matters

By centralizing high‑quality data and AI assets with strict governance, LiveRamp accelerates responsible AI adoption in advertising, boosting model performance while protecting privacy. The move positions the company as a critical infrastructure layer for marketers seeking scalable, compliant AI capabilities.

Key Takeaways

• Marketplace now offers data, models, AI agents
• Marketers can license data for AI training
• Third‑party AI models can be licensed without data exposure
• Upcoming AI applications enable audience building, measurement
• LiveRamp ensures governed, auditable access to premium data

Pulse Analysis

LiveRamp’s marketplace evolution reflects a broader industry shift toward integrated AI ecosystems where data, models, and applications coexist under a single governance framework. Marketers have long struggled with fragmented sourcing—searching for clean, permissioned datasets, negotiating model licenses, and building custom pipelines. By bundling these components, LiveRamp reduces friction, shortens time‑to‑value, and lowers the risk of non‑compliant data handling, a critical concern as privacy regulations tighten worldwide.

The new offering also unlocks a collaborative model for AI development. Third‑party model providers can monetize their algorithms without exposing proprietary data, while advertisers retain control of first‑party signals within secure clean rooms. This separation of data and model ownership encourages a marketplace of specialized AI solutions, fostering innovation without sacrificing data sovereignty. Early adopters can immediately improve model accuracy by plugging in rich consumer behavior, commerce, and media engagement signals that were previously siloed.

Looking ahead, LiveRamp’s upcoming AI agents promise to democratize advanced use cases such as real‑time audience segmentation, cross‑channel measurement, and automated media optimization. By delivering these capabilities through a plug‑and‑play interface, the platform lowers the barrier for smaller agencies and brands to leverage sophisticated AI, potentially reshaping competitive dynamics in the ad tech space. As the ecosystem matures, the marketplace could become a de‑facto standard for responsible, scalable AI in marketing, driving higher ROI and more transparent data practices.