Tech Updates
Nov 15, 2025
Tech Updates
Scaleups
Artificial Intelligence
Americas
NewDecoded
4 min read
Image by Ataccama
Ataccama announced Ataccama ONE Agentic on November 6, 2025, a unified platform that fundamentally changes how enterprises manage data trust. At its core sits the ONE AI Agent, an autonomous data worker that creates and applies data quality rules in bulk, detects duplicates, and executes complete workflows from profiling to validation without manual intervention. Early adopters have completed core data quality processes up to nine times faster than traditional methods, with one global bank cutting manual effort by nearly 90% across 170 rule modifications. The speed gains translate to real business value. Tasks that previously required days, like generating data quality rules across hundreds of systems, now finish in hours. Across 1,500 data assets, organizations are saving more than 25 workdays, time that teams redirect toward improving AI models and accelerating analytics initiatives.
Beyond internal automation, Ataccama introduced the MCP Server to connect trusted data with AI tools like Claude and ChatGPT. The server exposes governed data along with complete context: origin, quality verification, ownership, and approved use cases. Each dataset includes a Data Trust Index, a quantifiable reliability signal that downstream AI systems can interpret automatically. The platform combines data quality monitoring, catalog management, lineage tracking, observability, and reference data management into a single interface. This consolidation replaces the fragmented patchwork of point solutions that have historically plagued enterprise data environments, reducing integration complexity and accelerating adoption across organizational teams.
Ataccama was recognized as a Leader in the 2025 Gartner Magic Quadrant for Augmented Data Quality Solutions for the fourth consecutive year, and also achieved Leader status in the Magic Quadrant for Data and Analytics Governance. Kevin Petrie, VP of Research at BARC US, noted that compliance-driven organizations prioritize data quality, metadata enrichment, and documentation for agentic data management, areas Ataccama's release directly addresses.
"The next generation of AI will be defined by systems that act on data independently, not just analyze it," said Jay Limburn, Chief Product Officer at Ataccama. The platform shifts focus from reactive problem-solving to proactive trust-building, embedding intelligence directly into data management processes so accuracy and compliance are maintained automatically across every system and workflow.
Organizations can watch the FWRD 2025 event on-demand or schedule a demo to see the platform in action.
This announcement signals a critical inflection point in enterprise data infrastructure. For years, organizations built data management around reactive firefighting, addressing quality issues only after they corrupted reports or derailed AI projects. Ataccama ONE Agentic represents the industry's shift toward autonomous, continuously maintained data trust as the foundation for multi-agent AI systems.
The introduction of the MCP Server is particularly significant: as enterprises deploy increasingly complex ecosystems of AI agents, copilots, and autonomous systems, these tools need access to data that is not just accurate but explainable, governed, and contextually rich. The platform's consolidation of previously fragmented capabilities (quality, catalog, lineage, observability) into a unified experience also reflects broader market maturation away from best-of-breed point solutions toward integrated platforms that reduce total cost of ownership.
With 83% faster delivery and 90% reductions in manual effort documented in real-world deployments, Ataccama is effectively arguing that the age of stitching together disparate data tools is ending, replaced by intelligent platforms where trust is architected in from the start rather than bolted on after problems emerge.