en.Wedoany.com Reported - U.S. data management company Quest Software announced on May 13, 2026, in Austin, Texas, two major updates to its Quest Trusted Data Management Platform, introducing the cloud-native data modeling tool Quest Data Modeler and Quest Data Intelligence with an expanded AI assistant library. The platform is the industry's only unified end-to-end SaaS platform for delivering trusted, ready-to-use data.
Quest Data Modeler is a cloud-native, AI-assisted data modeling tool designed to help modern data teams establish logical definitions, naming standards, and shared semantics. Quest Data Intelligence expands the AI assistant library to cover scenarios such as data governance, lineage tracking, compliance management, data products, data quality, and natural language-based access to governed data. The two work together within the Quest Trusted Data Management Platform, eliminating issues such as inconsistent definitions and broken audit trails caused by the fragmented deployment of data modeling tools, governance suites, and AI assistants, providing users with a shared understanding of data. The platform's built-in QuestAI assistant maintains a unified business language for users across different roles, forming a closed loop of a single platform, a single audit trail, and a single understanding of data from data structure to data consumption.
Michael Laudon, Chief Product and Technology Officer at Quest Software, stated in the release announcement that trusted data is the cornerstone of modern AI strategy, and the company's continuous innovation is helping organizations translate AI visions into tangible business value, achieving goals with lower risk, higher accuracy, and faster AI deployment. He also emphasized that given the speed demands of the AI era, trust cannot be retrofitted after the fact but must be built in from the start; otherwise, AI projects will stall. To this end, the Quest Trusted Data Management Platform is designed with multiple entry points corresponding to different stages of enterprise data maturity and AI deployment, ensuring that customers can find matching capabilities within the platform whether they are at the level of building data visibility, operating governance and lineage, or managing data as a product.
Enterprise customer feedback provides external validation of the platform's value. Rocky Creel, Executive Director at JP Morgan Chase, pointed out that there is no trusted AI without trusted data, and the starting point for trusted data is sound data modeling. When data environments are fragmented, definitions are inconsistent, and governance methods are scattered, AI projects inevitably face slowdowns. Quest's approach of integrating data modeling with data intelligence is seen as a key infrastructure for laying the foundation of a scalable, trusted AI ecosystem. Partners MDSap Tech and Tecnet Dati reported that the platform enables a broader range of business users to participate in data work, accelerating iteration cycles and improving alignment between business and IT.
Since its initial release in February 2026, the platform has developed a clear technical layering. At that time, Quest launched the Trusted Data Management Platform with an automated data product factory, reducing data product delivery time by 54%, lowering costs by up to 40%, and increasing data product reuse rates by 50% through intelligent matching. The automated data product factory allows users to describe requirements using natural language prompts, with the platform directly generating production-ready, governed data products without the need for SQL coding. The newly added Quest Data Modeler and Quest Data Intelligence now fill the gaps in the data modeling layer and the intelligent governance layer, forming a complete capability chain covering "modeling - cataloging - governance - quality - marketplace."
Founded in 1987 and headquartered in Irvine, California, Quest Software went public on the Nasdaq in 1989. The company focuses on data management, cybersecurity, and platform modernization, employing over 3,600 people globally and serving more than 45,000 customers, including 97% of the Fortune 500. In September 2025, Quest announced a new corporate strategy and the unified erwin data management platform; in December of the same year, it established an Advanced AI Architecture Center in Ireland. This latest release marks a key transformation for the company in the AI era, shifting from a traditional data management vendor to a cloud-native, AI-driven SaaS platform.
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