Treasure Data has announced the availability of its custom and out-of-the-box AI Agents and the AI Agent Foundry within the new AI Agents and Tools category of AWS Marketplace, enabling enterprises to streamline the deployment of AI-powered customer data solutions.
The AI Agent Foundry, built on Amazon Bedrock, is designed to assist enterprises in constructing, deploying, and orchestrating custom AI agents across their customer data ecosystems. This functionality aims to automate decision-making processes, enhance personalization efforts, and facilitate the scaling of real-time insights.
Rafa Flores, Chief Product Officer at Treasure Data, commented on the development: “By offering our AI Agent Foundry through the AWS Marketplace AI Agents and Tools storefront, we’re providing customers with a streamlined way to access our agentic platform, helping them build and deploy customer data-driven AI agents faster and more efficiently.” Flores added that major customers are already utilizing these capabilities for intelligent audience creation, automating next-best-action decisions, verifying customer data quality, and accelerating experimentation, demonstrating the practical value of enterprise-grade AI agents.
Treasure Data’s AI Agent Foundry offers essential features such as flexible agent frameworks, a low-latency decisioning infrastructure, and no-code tools tailored for marketers and data teams. These tools enable the activation of AI-driven use cases rapidly, often within days, while ensuring organizations maintain full control over their data, outcomes, and compliance requirements.
The integration into AWS Marketplace’s AI Agents and Tools category significantly shortens the procurement process for customers seeking to innovate with AI. This reduces the time typically spent on vendor evaluations and complex negotiations, with centralized purchasing through AWS accounts providing visibility and control over licensing, payments, and access.
In addition to the AI Agent Foundry, Treasure Data has also introduced the Model Context Protocol (MCP) Server. This new open standard is designed to facilitate secure, structured communication between AI agents and enterprise data sources. MCP allows companies to connect their preferred AI assistants directly to Treasure Data, enabling natural language queries for databases, table exploration, and data analysis without requiring SQL expertise. This innovation aims to lower the barrier to entry for data exploration and analysis, empowering users across all technical levels to extract actionable insights from customer data through a secure and governed interface, thereby supporting faster and more informed decision-making.
