GoodData Unveils Intelligence Layer to Bring Governance and Context to Enterprise AI
SAN FRANCISCO, CA – 06/12/2025 – (SeaPRwire) – As organizations race to implement AI across their data ecosystems, one persistent challenge continues to slow progress: trust. Many companies struggle to ensure that AI-generated insights are reliable, consistent, and aligned with internal business rules. In response to this industry-wide gap, GoodData has introduced its new Intelligence Layer, a governed and context-aware framework designed to transform raw data into accurate, action-ready intelligence for enterprises operating across increasingly complex data infrastructures.
According to the company, the Intelligence Layer is purpose-built for environments spanning on-premises systems, hybrid architectures, and multi-cloud deployments. By grounding AI models in an organization’s established logic, definitions, and governance standards, the platform aims to eliminate the common disconnect between powerful AI capabilities and the practical realities of business decision-making.
GoodData CEO Roman Stanek explains, “The challenge isn’t a lack of dashboards—it’s a lack of clarity. Companies need confidence that their data is correct, comprehensible, and ready for action. The Intelligence Layer is designed to make that possible.”
Central to this new offering is the Analytics Catalog, a unified hub that allows teams to create, audit, and manage analytical definitions in a fully governed environment. Instead of navigating conflicting metrics or fragmented data sources, users gain access to AI copilots that help generate and validate dashboards, visualizations, datasets, facts, attributes, and business metrics with greater precision. This consistency is intended to ensure that teams across the enterprise share a single analytical vocabulary.
Supporting the Catalog is the Semantic Quality Agent, an automated system that continuously monitors and protects the integrity of the semantic layer. The Agent scans for missing context, ambiguous definitions, or inconsistencies that might influence AI-generated results. By catching issues before they cascade into reports or automated insights, the Agent reinforces the accuracy and reliability of the broader analytics ecosystem.
A third component, AI Memory, strengthens contextual understanding within AI-driven interactions. The feature enables enterprises to train GoodData’s AI Assistant on proprietary terminology, product names, operational language, and internal conventions. It also allows customization of the assistant’s tone, role, and identity, enabling companies to integrate AI directly into their product experiences. With this capability, AI responses become more precise, domain-aware, and aligned with the organization’s expertise.
Stanek adds, “AI shouldn’t operate as an unpredictable black box. It should reflect the business’s knowledge, culture, and safeguards. With the Intelligence Layer, companies can elevate analytics from static reporting to an active decision engine—one that delivers answers people can rely on.”
About GoodData
GoodData is a full-stack, AI-native data intelligence platform built for speed, scale, and trust. The platform supports the full analytics lifecycle—from data modeling to AI-powered insights—through no-code interfaces, robust APIs, SDKs, and a composable architecture designed for any deployment model, including public cloud, private cloud, hybrid, or on-premises. The company enables enterprises to operationalize governed intelligence, deploy applications quickly, and integrate AI seamlessly across their products with enterprise-grade governance and security. GoodData currently serves more than 140,000 global companies and 3.2 million users.
source https://newsroom.seaprwire.com/technologies/gooddata-unveils-intelligence-layer-to-bring-governance-and-context-to-enterprise-ai/