Treasure Data Expands AI Agent Ecosystem
The expanded ecosystem helps organisations to deploy AI agents that drive real-time personalisation, marketing automation, and CX optimisation, using customer data from the Treasure Data Diamond Record.
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Treasure Data has announced the expansion of its AI Agent ecosystem, built to help enterprises harness generative AI with the trust, governance, and scale they need.
Powered by Amazon Bedrock, this expanded ecosystem helps organisations to deploy AI agents that drive real-time personalisation, marketing automation, and CX optimisation, using customer data from the Treasure Data Diamond Record.
Generative AI is transforming industries by unlocking new levels of productivity, personalisation, and innovation. But for enterprises, generic AI solutions often fall short of meeting critical requirements like security, permissioning, and consistent data governance.
Treasure Data’s expanded AI Agent ecosystem is designed to close this gap by combining the power of generative AI with the trust and scale of a proven CDP.
“At Treasure Data, we see AI as more than just generating content. It’s about turning data into intelligent, secure, and real-time action,” said Rafa Flores, Chief Product Officer at Treasure Data.
“Our AI agent ecosystem is purpose-built to deliver enterprise-grade AI that’s both powerful and governed from day one. With Amazon Bedrock, we can quickly build and deploy agents fine-tuned with enterprise data without sacrificing trust or security.
“This means our customers can confidently embrace AI, knowing every decision is backed by the most trusted, accurate, real-time customer data in the industry.”
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Treasure Data’s AI Agent Foundry is the backbone of this ecosystem, providing a flexible and secure environment where marketing, CX, and data teams can build, refine, and deploy agents tailored to their business needs.
Every agent is built for use cases like journey orchestration, data health monitoring, taxonomy mapping, and campaign optimisation, meaning no guesswork and faster time to value. Security and compliance are also added, with built-in permissioning, auditability, and access controls that meet the demands of enterprise governance.
With the Diamond Record, a persistent, real-time customer ID that connects every tool, channel, and data stream, Treasure Data delivers a single, real-time customer ID that unifies every interaction—whether online, offline, known, or anonymous—into one complete and consistent profile that is embeddable across the entire tech stack.
This integration ensures every AI agent acts on the accurate, up-to-date information, eliminating hallucinations and consistently driving real business results.
Amazon Bedrock brings additional muscle to the platform by giving Treasure Data customers access to a wide range of best-in-class foundation models from companies like Anthropic, AI21 Labs, Cohere, and Amazon.
The serverless architecture in Amazon Bedrock enables fast development, fine-tuning, and deployment of AI agents while maintaining enterprise-grade reliability, security, and compliance.
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