SAN FRANCISCO, CA / ACCESS Newswire / December 3, 2025 / GoodData, leader in AI analytics and data intelligence, today announced the launch of its Intelligence Layer, a suite of governed, context-aware AI capabilities that bridge the gap between raw data and trustworthy, action-ready intelligence. Built for organizations operating across complex data environments, whether on-premises or across cloud services, the Intelligence Layer ensures that AI Analytics is grounded in a company’s own rules, logic, and semantic definitions.
Roman Stanek, CEO of GoodData, says: “Most companies don’t need more dashboards; they need clarity. They need to know their data is right, easy to understand, and ready to use. That’s exactly what the Intelligence Layer is built for.”
The Intelligence Layer puts governance and business context right into the analytical process, bridging the gap between complicated data systems and the decisions that business users make every day. Untethered AI agents often and unpredictably have problems with data permissions and model context, which makes them less useful. GoodData changes traditional reporting into a system where insights organically lead to action and improve important business processes by grounding AI in an organization’s own rules, logic, and definitions.
Putting analytics to use
The Analytics Catalog is the main part of this new layer. It is a single workspace where teams may look at and change their analytical definitions. Users don’t have to deal with a lot of different measurements or argue about which ones are true. Instead, they can trust a controlled environment with AI copilots that help create and check analytics items including dashboards, visualizations, metrics, attributes, facts, and datasets with accuracy. The end result is a solid base that makes sure everyone is using the same analytical language.
The Semantic Quality Agent is a watchdog for the semantic layer that works with the Catalog. This automated method looks for errors, missing context, and unclear definitions that can change AI-generated answers without anyone noticing. The Agent helps businesses keep their analytics accurate by always making sure that metadata is of high quality. This stops problems from happening before they show up in dashboards, tools, or AI outputs.
Trust and responsibility in AI
AI Memory is the last part of the Intelligence Layer. It lets businesses train their AI Assistant how to understand and use their own words, acronyms, and ways of doing things. AI Memory also lets teams change the assistant’s name, tone, and job, making it a natural part of their product experience. Instead of giving generic replies, the assistant can respond in the exact context of the business, making sure that the insights are in line with how the firm really works.
Stanek goes on to say, “AI shouldn’t seem like a black box.” It should feel like a member of your team who knows your language, your priorities, and your limits. These parts work together to create a controlled, context-aware intelligence system that turns analytics from passive reporting into an active driver of decision-making. People can now trust the answers they obtain with the Intelligence Layer. They can make decisions faster and with a lot more confidence.
About GoodData
GoodData is a full-stack, AI-native data intelligence platform that is fast, big, and reliable. Its composable platform gives every business the tools they need to turn governed insights into action and work with any data environment, whether it’s public, private, on-premises, or hybrid cloud. GoodData provides the entire analytics lifecycle, from data modeling to AI-powered insights, with no-code interfaces, SDKs, and strong APIs.
GoodData lets businesses adapt their products easily, deploy them quickly, and make money from new apps and automations. All of this is done with enterprise-level security and governance to add AI to a wide range of products. GoodData works with more than 140,000 of the world’s biggest organizations and 3.2 million consumers to help them make real changes and get the most out of their data.
