Ataccama launches Agentic data trust platform

The ONE AI Agent learns, executes, and explains complicated data duties, automating the work of data high quality and governance, whereas the Ataccama MCP Server connects trusted, explainable data to AI instruments like Claude and ChatGPT

Ataccama, the agentic data trust firm, as we speak introduced Ataccama ONE Agentic, a brand new era of its unified platform that automates how organizations handle, govern, and trust their data. By changing handbook rule-writing and cleanup with clever automation, the platform delivers AI-ready, trusted data 83% sooner than conventional workflows. It permits sooner reporting, shorter AI improvement cycles, and selections primarily based on correct, compliant, and ready-for-business info.

At the core of the platform is the ONE AI Agent, which brings this intelligence to life. Acting as an autonomous data employee, it creates and applies data high quality guidelines in bulk, detects duplicates and inconsistencies, and understands context to enhance accuracy mechanically. It additionally executes full workflows, from profiling data and assigning guidelines to validating outcomes, whereas documenting every step for evaluate.

Early adopters have accomplished core data high quality processes as much as 9 instances sooner than earlier than. Tasks that after took days, like producing and data high quality guidelines throughout tons of of methods, can now be accomplished in hours, accelerating the supply of trusted, AI-ready data throughout the enterprise. Across 1,500 data property, that interprets to greater than 25 workdays saved, time groups can redirect to enhancing fashions, accelerating analytics, and driving measurable enterprise outcomes. 

In one international financial institution, the platform generated documentation for 100 catalog gadgets in hours reasonably than weeks and automatic 170 rule modifications and 47 debugging duties, chopping handbook effort by almost 90% and accelerating time to trusted insights.

As enterprises scale AI, extending that very same trust past inner methods has turn into the subsequent problem. The Ataccama MCP Server makes this potential by permitting copilots, massive language fashions reminiscent of Claude and ChatGPT, and customized AI workflows constructed contained in the enterprise to securely entry ruled, explainable data from Ataccama. It exposes trusted data together with its full context, the place it originated, how its high quality was verified, who owns it, and for what goal it may be used, so each prediction, report, and choice is constructed on the identical dependable basis.

Each dataset additionally features a Data Trust Index, a quantifiable sign of reliability that downstream methods can interpret mechanically. This trust is bolstered by agentic Reference Data Management, which ensures that business-critical info like product codes, buyer segments, or regulatory classes stays constant wherever they seem. It’s additional strengthened by steady Data Observability, which tracks pipelines in actual time to detect and resolve points, reminiscent of schema drift, lacking values, or latency, earlier than they have an effect on analytics or AI fashions. This creates a dwelling layer of trust that retains enterprise data correct, aligned, and prepared for any AI system that relies on it.

And as a result of this basis is constructed on Ataccama’s market-leading data high quality engine, customers can’t solely assess the reliability of their data but additionally enhance it immediately inside Ataccama ONE, guaranteeing each mannequin, dashboard, and assistant operates on info that’s each explainable and reliable.

In a multi-agent world, the Ataccama MCP Server gives the trust layer that enables methods, fashions, and clever brokers to function from a shared, ruled basis of fact. 

“The subsequent era of AI shall be outlined by methods that act on data independently, not simply analyze it,” mentioned Jay Limburn, Chief Product Officer at Ataccama. “For years, data groups have fought fires, fixing errors after they’ve already distorted studies or slowed down initiatives. That reactive method doesn’t work when AI is making selections in actual time. Ataccama ONE Agentic modifications this by embedding intelligence immediately into how data is ruled. The ONE AI Agent doesn’t simply discover issues; it acts on them, guaranteeing data stays correct, explainable, and prepared to be used. It shifts the main target from managing data to trusting it, as a result of in an AI-driven enterprise, success relies upon not on how a lot data you may have however on how a lot you’ll be able to trust.”

“BARC analysis highlights that compliance-driven organizations see data high quality, metadata enrichment, and data documentation as high priorities for agentic data administration,” mentioned Kevin Petrie, VP of Research at BARC US. “Ataccama’s new launch immediately addresses this demand, empowering data groups to speed up productiveness whereas cataloging, governing, and making ready trusted data to gasoline analytics and AI.”

Most enterprises nonetheless handle data reactively, fixing issues solely after they disrupt studies or decelerate AI initiatives. Ataccama ONE Agentic redefines that method by embedding intelligence immediately into the data administration course of, so trust is in-built from the beginning and maintained mechanically throughout each system and workflow.

To study extra, learn the weblog ‘AI is the brand new electrical energy – the place is your data trust grid?’ and schedule a demo.

The publish Ataccama launches Agentic data trust platform first appeared on AI-Tech Park.