TLDR: Ataccama has launched Ataccama ONE Agentic, a new platform leveraging autonomous AI agents to automate data quality and governance. This innovation promises to deliver AI-ready, trusted data up to 83% faster, significantly reducing manual effort and accelerating AI development cycles. The platform introduces the ONE AI Agent for intelligent automation of data tasks and the MCP Server to connect trusted data with rich context to various AI tools.
Boston, Mass. – November 6, 2025 – Ataccama, a leading ‘agentic data trust company,’ today announced the release of Ataccama ONE Agentic, a groundbreaking new generation of its unified platform designed to automate and enhance how organizations manage, govern, and ultimately trust their data. This innovative suite aims to replace traditional manual data quality and governance processes with intelligent automation, promising to deliver AI-ready, trusted data an impressive 83% faster than conventional methods.
At the core of Ataccama ONE Agentic are two pivotal innovations: the ONE AI Agent and the Ataccama MCP Server. The ONE AI Agent functions as an autonomous data worker, capable of learning, executing, and explaining complex data tasks. It automates critical data quality and governance functions, including the creation and application of data quality rules in bulk, detection of duplicates and inconsistencies, and contextual understanding to automatically improve accuracy. Furthermore, it executes complete workflows, from data profiling and rule assignment to validating results, all while meticulously documenting each step for review. This eliminates the need for extensive manual rule-writing and cleanup, a common bottleneck in data management.
Complementing the ONE AI Agent, the Ataccama MCP Server plays a crucial role in extending data trust beyond internal systems. It securely connects governed, explainable data from Ataccama to various AI tools, such as large language models like Claude and ChatGPT, and custom enterprise AI workflows. The server exposes not just raw data, but also rich context, including its origin, how its quality was verified, who owns it, and for what purpose it can be used. This ensures that every prediction, report, and decision made by AI systems is built upon a reliable and transparent foundation.
Early adopters of Ataccama ONE Agentic have reported significant improvements, completing core data quality processes up to nine times faster than before. Tasks that previously took days, such as generating data quality rules across hundreds of systems, can now be completed in mere hours. This acceleration translates into substantial time savings; for instance, across 1,500 data assets, the platform saved over 25 workdays, allowing teams to reallocate efforts towards improving models, accelerating analytics, and driving measurable business outcomes. In a notable case, a global bank utilized the platform to generate documentation for 100 catalog items in hours instead of weeks and automated 170 rule modifications and 47 debugging tasks, resulting in a nearly 90% reduction in manual effort.
Jay Limburn, Chief Product Officer at Ataccama, emphasized the paradigm shift this platform represents. “The next generation of AI will be defined by systems that act on data independently, not just analyze it,” Limburn stated. “For years, data teams have fought fires, fixing errors after they’ve already distorted reports or slowed down projects. That reactive approach doesn’t work when AI is making decisions in real time. Ataccama ONE Agentic changes this by embedding intelligence directly into how data is governed. The ONE AI Agent doesn’t just find problems; it acts on them, ensuring data stays accurate, explainable, and ready for use. It shifts the focus from managing data to trusting it, because in an AI-driven enterprise, success depends not on how much data you have but on how much you can trust.”
Further reinforcing the platform’s relevance, Kevin Petrie, VP of Research at BARC US, commented, “BARC research highlights that compliance-driven organizations see data quality, metadata enrichment, and data documentation as top priorities for agentic data management. Ataccama’s new release directly addresses this demand, empowering data teams to accelerate productivity while cataloging, governing, and preparing trusted data to fuel analytics and AI.”
Beyond automation, Ataccama ONE Agentic incorporates a Data Trust Index, providing a quantifiable signal of data reliability for downstream systems. It also features agentic Reference Data Management to ensure consistency of business-critical information and continuous Data Observability, which tracks data pipelines in real-time to proactively detect and resolve issues like schema drift, missing values, or latency before they impact analytics or AI models. This comprehensive approach creates a ‘living layer of trust’ that keeps enterprise data accurate, aligned, and ready for any AI system.
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Ataccama’s commitment to data trust has been recognized, as the company was named a Leader in both the 2025 Gartner Magic Quadrant for Augmented Data Quality and the 2025 Magic Quadrant for Data and Analytics Governance, underscoring its position as a standard-setter in enterprise-grade data trust.
