Precisely is taking a two-pronged approach to fostering AI development with the launch of prebuilt AI components and introduction of a unified data management platform.
The vendor's AI Studio, made generally available on Tuesday, is a feature set of pre-built agents, applications and prompts designed to save developers some of the complex work that makes it difficult to develop AI tools. Meanwhile, the Precisely Platform, now in preview and planned for GA in early 2027, is a data management suite that unifies capabilities such as data integration and governance on a single foundation to provide a trusted data layer for AI.
AI Studio is a collection of assets designed to give developers and engineers a starting point from which to build agents and other AI tools so don't they have to start AI initiatives from a blank slate.
Included are tools aimed at helping users improve their data such as those that simplify configuring data replication pipelines and launching governance workflows. Others, meanwhile, build on AI-ready data such as preconfigured agents.
The Precisely Platform provides a trusted data foundation on which developers can build AI tools.
At its own foundation is a single metadata and semantic layer on top of which capabilities such as data governance, integration and quality along with master data management are unified so that customers can improve the readiness of their data for AI without having to migrate it into a single location. In addition, the Precisely Platform features Model Context Protocol servers to connect agents with relevant business logic, data quality and governance scores so users can determine whether data is ready for AI, and built-in data enrichment and location intelligence capabilities.
Precisely is differentiating itself through the combination of unified data management with ready-made AI assets rather than just providing one or the other. Precisely's approach of tightly integrating both layers on a single metadata and semantic foundation … is relatively distinctive.
Stephen CatanzanoAnalyst, Omdia
Stephen Catanzano, an analyst at Omdia, a division of Informa TechTarget, noted that the new capabilities are significant for Precisely customers because, in tandem, the prebuilt components and data foundation address some of the problems that plague AI experiments.
"These offerings enable users to accelerate development from months to days while ensuring data quality, governance, and enrichment are baked into the foundation rather than bolted on afterward," he told TechTarget.
Precisely competitors such as Alation, Collibra and Informatica also provide data quality and governance capabilities. In addition, vendors including DataRobot and H2O.ai offer prebuilt tools for acceleration AI development. Combining the two, however, could distinguish Precisely among data quality and governance vendors, according to Catanzano.
"Precisely is differentiating itself through the combination of unified data management with ready-made AI assets rather than just providing one or the other," he said. "Precisely's approach of tightly integrating both layers on a single metadata and semantic foundation … is relatively distinctive."
Attacking AI development barriers
Myriad problems prevent AI projects from moving past the pilot stage, among them the complexity of development and lack of a properly prepared data foundation. In conversations with its customers, Precisely found that their customers mentioned how complex and time-consuming it can be to build AI tools, and that fragmented data is making AI initiatives risky.
"[The products] were driven by two consistent themes we heard from customers," Matt Waxman, the vendor's chief product officer, told TechTarget.
With customers consistently bringing up development intricacies and data management difficulties as barriers to AI development, AI Studio and the Precisely Platform are central to Precisely's future product development initiatives as well, he continued.
"Our focus is helping organizations make their data AI-ready and easier to use across AI, analytics and operations," Waxman said. "That starts with continuing to expand our unified data management capabilities. We also plan to grow the ecosystem of agents, apps and skills … so organizations can accelerate AI adoption."
Like Catanzano, Mike Leone, an analyst at Moor Insights & Strategy noted that the new capabilities are valuable for Precisely users.
"Especially for companies already running several Precisely products," he told TechTarget. "Those customers can set a rule or policy once and have it applied across everything from data integration to master data. And AI Studio gives their developers agents and apps to start from, built to work with the AI assistants they already use."
The prebuilt agents and unified data management capabilities are becoming common among data platform vendors and hyperscale cloud providers, he continued. However, features such as location intelligence as part of a unified governance platform help Precisely stand apart from its peers.
"Precisely stands apart because it sells its own address, property and location data so that a developer can build an agent that pulls in details like a property's flood risk, which a company usually wouldn't have on its own," Leone.
Correctly constructed capabilities
Precisely's combination of prebuilt tools and a unified data foundation appear logically built to help customers have more success as they try to move AI pilots into production, according to Leone.
In particular, he noted that the new capabilities seem set up to enable users to operationalize structured data such as customer, address and product records. However, to better serve its customers, Precisely could add capabilities that allow developers to more easily include unstructured data when serving AI tools.
"Ideally, Precisely extends its quality and governance scores to the documents agents read, like contracts and manuals," Leone said.
Catanzano likewise noted that while appropriately constructed for their intended purpose, there are model operations tools that Precisely could add to AI Studio and the Precisely Platform to make the new capabilities more effective.
"To more fully enable users, Precisely could consider adding native model performance tracking, drift detection and automated retraining workflows that close the loop between AI deployment and the data quality issues that emerge in production," he said. "More sophisticated cost optimization tools for managing data operations at scale would also strengthen the offering."
Eric Avidon is a senior news writer for Informa TechTarget and a journalist with more than three decades of experience. He covers analytics and data management.
