Treasure Data, a leading enterprise-grade Customer Data Platform (CDP), has announced a significant expansion of its AI Agent ecosystem, specifically designed to help global businesses leverage generative AI with unmatched trust, governance, and scale. By integrating Amazon Bedrock’s capabilities, Treasure Data now enables organizations to deploy AI agents that drive real-time personalization, marketing automation, and customer experience optimization all fueled by the platform’s core innovation: the Treasure Data Diamond Record.

Transitioning from traditional data processing, Treasure Data’s vision centers on transforming raw information into real-time, intelligent actions. “AI isn’t just about content generation it’s about making data actionable, secure, and valuable at the exact moment it’s needed,” emphasized Rafa Flores, Chief Product Officer at Treasure Data.

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As the generative AI wave continues to disrupt industries with enhanced efficiency and innovation, enterprises often find themselves limited by generic tools that lack critical features like data consistency, permission control, and enterprise-level governance. Treasure Data tackles these challenges by combining the power of AI with a trusted CDP built for accuracy, security, and scale.

At the heart of this innovation lies the AI Agent Foundry a robust and secure environment enabling marketing, CX, and data teams to build, test, and deploy custom AI agents. These agents aren’t one-size-fits-all; they’re designed for high-impact business tasks such as journey orchestration, taxonomy mapping, data quality monitoring, and campaign optimization. Importantly, they include built-in security features like access control, auditability, and compliance alignment from day one.

Moreover, Treasure Data’s real-time identity resolution engine the Diamond Record ensures that each AI agent operates with a unified, persistent customer ID. This ID links every customer touchpoint across tools, channels, and datasets to form a complete profile. As a result, businesses benefit from enhanced personalization while avoiding AI hallucinations, data errors, or broken customer experiences.

Amazon Bedrock makes the platform even stronger by giving users access to leading AI models from providers like Anthropic, AI21 Labs, and Cohere. With its serverless, fully managed setup, Amazon Bedrock accelerates the deployment of AI agents without compromising enterprise-grade security or compliance.

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FAQs

1. What is a Customer Data Platform (CDP), and why do enterprises need it?

A CDP brings together customer data from different sources to create one clear, usable profile for smarter decision-making. Enterprises use CDPs like Treasure Data to enable accurate personalization, enhance customer experiences, and drive data-driven decision-making.

2. How does Treasure Data’s AI Agent ecosystem benefit marketing and CX teams?

Treasure Data’s AI Agent ecosystem allows marketing and customer experience teams to deploy agents that automate key workflows such as campaign optimization, journey orchestration, and data quality checks using real-time, trustworthy data. This leads to faster execution, higher ROI, and reduced manual effort.

3. Why is identity resolution important in an AI-powered CDP?

Identity resolution ensures that every interaction whether online or offline, known or anonymous is linked to a single customer profile. This unified view eliminates data silos and enables AI agents to make context-rich decisions, delivering accurate, consistent, and personalized experiences across the entire tech stack.

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