Treasure Data Enhances AI Agent Ecosystem with Amazon Bedrock for Enterprise AI
Treasure Data expands its AI Agent ecosystem, leveraging Amazon Bedrock to provide enterprises with trusted, scalable generative AI solutions for customer data and marketing automation.
Treasure Data, an enterprise-scale Intelligent Customer Data Platform (CDP), has announced the expansion of its AI Agent ecosystem, designed to help global businesses harness generative AI with trust, governance, and scalability. Powered by Amazon Bedrock, this ecosystem enables organizations to deploy AI agents for real-time personalization, marketing automation, and customer experience optimization.
Key Highlights
- Enterprise-Grade AI: Treasure Data’s solution addresses critical enterprise needs like security, permissioning, and data governance, ensuring AI deployments are both powerful and compliant.
- AI Agent Foundry: The backbone of the ecosystem, this platform allows marketing and CX teams to build, refine, and deploy AI agents tailored to high-impact use cases like journey orchestration and campaign optimization.
- Diamond Record: A persistent, real-time customer ID that unifies interactions across channels, ensuring AI agents act on accurate, up-to-date data.
- Amazon Bedrock Integration: Provides access to top-tier foundation models from Anthropic, AI21 Labs, Cohere, and Amazon, enabling fast development while maintaining enterprise-grade security.
Why It Matters
Generative AI is transforming industries, but generic solutions often lack the trust and scalability enterprises require. Treasure Data’s ecosystem bridges this gap by combining generative AI’s creative potential with the reliability of a proven CDP.
"Our AI agent ecosystem is purpose-built to deliver enterprise-grade AI that’s both powerful and governed from day one," said Rafa Flores, Chief Product Officer at Treasure Data. "With Amazon Bedrock, we can quickly build and deploy agents fine-tuned with enterprise data without sacrificing trust or security."
Key Features
- Trust & Governance: Built-in permissioning, auditability, and access controls meet enterprise compliance demands.
- Real-Time Personalization: AI agents leverage the Diamond Record to deliver hyper-personalized experiences.
- Serverless Architecture: Amazon Bedrock’s fully managed infrastructure ensures fast, scalable AI deployment.
For more details, visit Treasure Data.
Press Contact: Staley White | staley@pointprutah.com
Related News
Zscaler CAIO on securing AI agents and blending rule-based with generative models
Claudionor Coelho Jr, Chief AI Officer at Zscaler, discusses AI's rapid evolution, cybersecurity challenges, and combining rule-based reasoning with generative models for enterprise transformation.
Honda's Waigaya Culture Inspires Multi-Agent AI Research Recognized at Global Conference
Honda's research on a multi-agent AI system inspired by its Waigaya culture has been accepted at the ICLR 2025 Workshop Agentic AI. The article explores the development process and the unique corporate culture behind this innovation.
About the Author

Dr. Emily Wang
AI Product Strategy Expert
Former Google AI Product Manager with 10 years of experience in AI product development and strategy formulation. Led multiple successful AI products from 0 to 1 development process, now provides product strategy consulting for AI startups while writing AI product analysis articles for various tech media outlets.