Treasure Data is raising the bar for enterprise-grade AI. The customer data platform (CDP) provider has expanded its AI Agent ecosystem, leveraging Amazon Bedrock to give global enterprises the power to deploy generative AI responsibly, securely, and at scale.

This isn’t your typical AI bolt-on. Treasure Data is combining the creative agility of generative AI with the governance, security, and real-time accuracy expected by large organizations. In a landscape where enterprises are wary of hallucinating chatbots and black-box models, Treasure Data’s solution focuses on trust and precision.

“It’s not just about generating content,” said Rafa Flores, Chief Product Officer at Treasure Data. “It’s about turning enterprise data into intelligent, secure, real-time action.”

The AI Agent Foundry: Personalized AI, Zero Guesswork

At the core of this expansion is Treasure Data’s AI Agent Foundry—a flexible, secure environment that enables marketing, customer experience (CX), and data teams to build and fine-tune agents for specific use cases. Think campaign optimization, journey orchestration, data health monitoring, and taxonomy mapping—without the guesswork.

These aren’t just experimental tools. Each agent is grounded in enterprise-ready features:

• Built-in permissioning

• Audit trails

• Access controls for compliance

• Purpose-built capabilities tailored to common enterprise challenges

It’s AI with boundaries—the kind that IT teams appreciate.

Diamond Record: The Real-Time Identity Engine

The real differentiator here is the Diamond Record—Treasure Data’s persistent, real-time customer ID system. It serves as the unshakable foundation for the AI agents, resolving identities across touchpoints to create a single, unified customer profile, whether anonymous, known, online, or offline.

This deep customer understanding eliminates the risk of “AI hallucinations,” ensuring every decision and recommendation made by the agent is based on real-time, high-fidelity customer data.

And because this identity layer connects across the full tech stack, it allows personalization to go beyond channels and touchpoints—it becomes omnichannel orchestration.

Amazon Bedrock: The Enterprise-Ready AI Stack

The partnership with Amazon Bedrock gives Treasure Data customers access to some of the industry's best foundation models from Anthropic, AI21 Labs, Cohere, and Amazon, all via a serverless, fully managed backend.

This not only speeds up development and deployment but ensures AI operations are scalable, secure, and compliant—critical for global organizations balancing innovation with governance.

The Broader Picture: Generative AI, But Enterprise-Grade

As generative AI matures, the real challenge for enterprises isn’t capability—it’s control. How do you generate content, automate experiences, or trigger actions without compromising data privacy, accuracy, or compliance?

Treasure Data appears to be answering that question with a “trust-first” AI architecture—something many vendors still lack.

And with 74% of Fortune 1000 marketers increasing budgets for AI-powered personalization, according to industry forecasts, Treasure Data’s timing couldn’t be more strategic.

It’s a bold play in a crowded space—but one that might resonate with enterprise buyers tired of AI hype and hungry for reliable, accountable automation.

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