Treasure Data’s AI Agent Foundry Lands in AWS Marketplace—Here’s Why That’s a Big Deal for Enterprises

Enterprise AI just got a serious upgrade. Treasure Data, the intelligent customer data platform (CDP) built for enterprise scale, has launched its AI Agent Foundry in the newly introduced AI Agents and Tools category of the AWS Marketplace. Now, with a few clicks and an AWS account, companies can build, deploy, and orchestrate AI-powered workflows without enduring the usual procurement drag.

This move puts Treasure Data's AI capabilities directly in front of the enterprise buyers already deep in the AWS ecosystem—accelerating everything from agentic workflow development to real-time personalization and data quality checks.

Agentic Intelligence, Now Easier to Access

The AI Agent Foundry, built on Amazon Bedrock, allows organizations to harness custom and out-of-the-box AI agents to automate decision-making, personalize experiences at scale, and surface insights in real-time.

In practical terms, this means marketers and data teams can:

• Automate next-best-action decisions

• Streamline audience segmentation

• Check and validate customer data quality

• Quickly spin up experimental campaigns—without writing a single line of code

"By offering our AI Agent Foundry through AWS Marketplace, we're streamlining access to agentic AI for our customers," said Rafa Flores, Chief Product Officer at Treasure Data. “Some of our biggest customers are already using it to transform how they handle decisioning, personalization, and experimentation.”

Built for Enterprises, Designed for Speed

Treasure Data’s AI Agent Foundry packs enterprise-grade punch:

• Flexible agent frameworks for custom development

• Low-latency decisioning to keep campaigns responsive

• No-code tools that let marketing and data teams operate independently

• Governance baked in, so compliance doesn’t get sidelined

Available through centralized AWS purchasing, the platform helps teams skip long vendor negotiations and move straight to execution—with full visibility into licensing and billing.

Meet MCP: Natural Language Meets Customer Data

Also in the spotlight is Treasure Data’s Model Context Protocol (MCP) Server, an open standard that allows AI agents to securely query enterprise data sources using natural language instead of SQL. This means anyone—from a CMO to a CX analyst—can interact with customer databases, explore trends, and pull insights by simply asking questions.

It's a democratization of data access without compromising on control, security, or compliance.

By reducing the friction of data exploration and expanding access to non-technical users, Treasure Data is reshaping how enterprises work with data—moving from dashboards to dialogues.

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