Treasure Data Unveils Treasure Code – A New Era of Agentic AI for Customer Data Operations

Treasure Data, a pioneer in Customer Data Platforms (CDPs), has just announced the general availability of Treasure Code, a new AI-native command-line interface that seeks to bring agentic AI into the customer data workflow. This is a significant move in the way businesses will handle complex data workflows.

Treasure Code allows both technical professionals and AI agents to control the entire Treasure Data platform as code, which means that the automation and governance of the DevOps style will be embedded into the CDP workflows that were previously done manually. Treasure Code is integrated with AI and natural language processing and allows business intent to be translated into production-ready SQL, configuration, segments, and data workflows.

As stated by Treasure Data’s Chief Product Officer, Rafa Flores, “The adoption of Treasure Code has been exceptional — with over a quarter of our customers adopting the technology in the days following its launch.” This is a clear indication that there is a great need for more automated and intelligent approaches to customer data management among enterprises.

Also Read: Intent IQ Brings Identity-Driven Performance at Scale to Horizon Media’s New HorizonOS Marketing Operating System

What Makes Treasure Code Different?

At its core, Treasure Code blends:

AI-native command-line operations -allowing both humans and AI agents to execute complex data tasks through plain language and code.

DevOps-style governance and automation – enabling version-controlled management of CDP configurations, peer reviews, and instant rollbacks.

Unified deployment workflows – consolidating what were once fragmented tools and scripts into a single, streamlined command ecosystem.

This agentic approach — where AI agents are trusted to act with intent and autonomy under human supervision — is rapidly becoming a differentiator in enterprise systems, especially for complex data environments.

Why This Matters for B2B Marketing and Advertising

In the B2B marketing and advertising world, data has long been mission critical. But sheer volume, disparate data systems, and growing demand for real-time personalization have made traditional coordination methods increasingly untenable. This is where Treasure Code’s capabilities can produce immediate and longer-term impact.

Redefining Data Operations for Marketers

The marketing teams have become reliant on CDPs to integrate first-party data, segment, and personalize large accounts. Yet, the execution of the operational change, whether it’s creating a new segment, updating a journey, or launching a predictive model, may require technical experts and manual SQL coding.

Treasure Code changes this dynamic by allowing marketers and operations teams to state their intent in natural language, and the system will automatically create the required configurations. This makes it easier to execute and allows more people to own the operation.

For B2B marketing leaders, that means:

• Faster go-to-market with targeted campaigns
• Reduced reliance on scarce technical resources
• More dynamic and responsive customer journeys

Given that B2B buying cycles are longer and more complex than B2C, the ability to iterate quickly and test at scale – powered by AI – is a major competitive advantage.

Higher ROI Through Operational Efficiency

Manual workflows and disparate systems are costly. According to industry analysts, redundant processes and inefficient data operations can inflate marketing costs by as much as 30–40%. With Treasure Code’s automation, teams can compress time-to-value, reduce errors, and reallocate budget toward innovation rather than firefighting.

Modern B2B marketers operate in an environment where agility and speed matter more than ever – especially as companies invest heavily in demand generation strategies that hinge on real-time insights and precise data execution.

Powering AI-Driven Personalization and Engagement

Treasure Data already integrates advanced AI signals — such as recommendation engines and journey prediction models — into its CDP. Treasure Code amplifies this by enabling these models to be deployed and iterated against live customer data quickly and safely.

For advertisers, this means the AI driving personalization isn’t just an analytics engine — it’s a proactive execution partner. AI agents can adjust segments, orchestrate campaigns, and optimize outcomes without waiting for manual handoffs.

Broader Implications for Businesses

Although the primary application of the Treasure Code is aimed at optimized business operations and marketing results, the implications of the technology are much broader. Treasure Code is a manifestation of the emerging trend of agentic AI, which is capable of planning, doing, and executing actions based on its intentions. This need for intelligent autonomy is also a reflection of the emerging trend in which AI agents are becoming a norm in enterprise ecosystems, ranging from sales to customer service and supply chain management.

But this also brings into focus the issue of data integrity and governance. Agentic systems require high-quality, clean, and trustworthy data. If data governance is not done properly, even at high speeds, decisions can go awry. Enterprises that adopt technologies such as Treasure Code will have to focus on developing robust data governance practices.

Conclusion

The arrival of Treasure Code marks the beginning of a new era in the way businesses run CDPs, leveraging automation, AI, and a control mindset similar to that of developers to enable faster and more efficient customer data operations that require less specialized expertise. For B2B marketers and advertisers, this means faster campaigns, increased personalization at scale, and improved ability to respond to real-time signals.

With Treasure Code, Treasure Data is not only optimizing workflows but also redefining the very essence of modern marketing operations. As agentic AI becomes more pervasive in business, the organizations that lead the charge in adopting these technologies will set the agenda for the next era of competitive advantage.