Saturday, April 11, 2026
Treasure Data has officially announced the general availability of Treasure Code, an AI-native command-line interface designed to transform how teams manage and operate the Treasure Data Intelligent Customer Data Platform (CDP). With this launch, the company introduces agentic AI into customer data operations, enabling organizations to manage complex CDP environments with greater automation, efficiency, and control.
As customer data platforms continue to expand in scale and sophistication, teams often struggle with manual processes that slow down innovation and increase operational risk. Therefore, Treasure Data developed Treasure Code to bring DevOps discipline to CDP management. By allowing technical teams—and even AI agents—to securely operate the entire platform as code, Treasure Code streamlines workflows and automates repetitive tasks across the ecosystem.
Unlike traditional interfaces that depend heavily on manual configuration, Treasure Code empowers data engineers, platform teams, marketing operations professionals, and advanced CDP users with direct, programmatic access. As a result, organizations can automate data pipelines, configure customer journeys, manage AI agents, and optimize CDP workflows more effectively.
Rafa Flores, Chief Product Officer at Treasure Data, highlighted the strong market response to the launch. He said, “We’ve never seen such organic adoption from an AI-native product at Treasure Data, with over a quarter of our customers embracing Treasure Code in a matter of days. Our customers deal with incredible complexity and scale operating a CDP, often with upwards of hundreds of millions of profiles and trillions of data points processed. Treasure Code reduces the operational burden of data operations, enabling brands to manage a CDP with fewer resources and free teams up for strategic, high-impact work.”
Importantly, Treasure Code integrates AI-assisted capabilities, including support from Claude Code, to enable natural-language-driven creation and iteration. This functionality allows teams to build, adjust, and refine workflows using intuitive prompts while maintaining human oversight. Consequently, businesses can accelerate innovation without sacrificing governance or accuracy.
Moreover, by combining automation with verification, Treasure Code helps reduce time-to-build and simplifies complex changes across customer data systems. Instead of navigating multiple dashboards or performing repetitive manual updates, teams can execute structured, code-based commands that enhance reliability and scalability.
In today’s data-driven economy, enterprises manage massive volumes of customer profiles and behavioral data. Handling trillions of data points requires precision, flexibility, and operational resilience. Treasure Code addresses these challenges by embedding agentic AI directly into CDP operations, creating a more agile and future-ready infrastructure.
Ultimately, Treasure Data positions Treasure Code as a strategic solution for enterprises seeking to modernize data operations. By merging AI-native automation with DevOps principles, the company enables brands to reduce operational complexity, optimize resources, and focus on delivering meaningful customer experiences powered by intelligent data insights.
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