SAN FRANCISCO, CA – 29/09/2025 – (SeaPRwire) – In a decisive move that underscores the growing demand for enterprise-ready artificial intelligence, analytics and data intelligence company GoodData has announced the launch of its new AI-native platform, a solution designed to close one of the most persistent gaps in modern business technology: the distance between raw corporate data and actionable, trustworthy intelligence. By integrating three foundational components—AI Lake, AI Hub, and AI Apps—GoodData’s platform lays the groundwork for enterprises to design, deploy, and scale AI agents that not only deliver insights but also act on them with transparency, governance, and adaptability.
The unveiling reflects a broader trend in enterprise technology: companies are no longer satisfied with static dashboards or siloed analytics tools that provide information without clear paths to execution. Instead, the demand is for systems that can transform data into autonomous products—embeddable AI agents, copilots, assistants, and automated workflows—that align seamlessly with day-to-day business processes. GoodData’s latest platform release positions it as a frontrunner in this transformation, with a solution explicitly designed to balance performance, scale, and compliance.
Redefining the Foundation of Enterprise AI
The platform is anchored on three pillars:
- AI Lake serves as a robust storage and compute layer that unifies structured and unstructured data into a self-learning semantic model. This ensures that AI agents are always grounded in contextual, accurate, and governed knowledge rather than uncontrolled data streams.
- AI Hub operates as a central orchestration and governance layer. It introduces audit trails, compliance protocols, built-in guardrails, and escalation mechanisms to ensure workflows remain safe, controlled, and accountable.
- AI Apps represent the outward-facing dimension of the system, enabling secure, embeddable AI-driven applications that can be deployed directly into customer-facing products, analytics environments, and enterprise workflows. These range from conversational assistants to automated decision-making agents.
Together, these pillars enable enterprises to move beyond fragmented analytics tools and into a new paradigm: AI-native data intelligence that is auditable, composable, and capable of delivering measurable business outcomes.
Closing the Gap Between Data and Action
Roman Stanek, CEO of GoodData, emphasized the significance of this platform evolution, stating: “For years, enterprises have struggled with the distance between their data repositories and the ability to derive trusted, actionable insights. With this platform, we are closing that gap once and for all. Governance, scalability, and performance are not afterthoughts—they are built into the architecture from the start.”
The launch also demonstrates GoodData’s ongoing shift from traditional business intelligence to full-fledged data intelligence, where operationalization of insights is as critical as generating them. The platform allows enterprises not only to observe but to act, integrating AI directly into revenue-generating products and internal workflows.
Benefits for Enterprise Stakeholders
Industry analysts point out several ways the platform distinguishes itself from legacy analytics solutions:
- Governance First: By embedding semantic grounding, compliance features, and audit trails, GoodData’s platform eliminates the opacity of “black-box” AI systems.
- Scalability Across Enterprises: Its multitenant and deployment-flexible design allows organizations to expand usage across business units, geographies, and customer segments without sacrificing performance.
- Integration Without Limits: The architecture supports bring-your-own LLMs, open interoperability with existing enterprise systems, and deployment either via SaaS or self-hosted models.
- Speed to Value: With developer-friendly SDKs, APIs, and an open, composable stack, enterprises can rapidly prototype AI solutions and accelerate their move into production environments.
Peter Fedorocko, Field CTO of GoodData, reinforced this theme, noting: “Most AI solutions in the market today are either siloed or hidden behind opaque systems. GoodData takes a different approach—our architecture is composable, embeddable, and transparent. Enterprises retain full control, integrate seamlessly with existing systems, and still gain the agility to innovate at scale.”
Developer-Centric Technology at the Core
For developers, the launch represents an opportunity to overcome the limitations of closed AI systems. GoodData’s platform provides:
- MCP Server for high-volume, real-time workflows that maintain performance under heavy demand.
- SDKs and APIs in Python, React, and other languages, enabling customization and rapid embedding into enterprise applications.
- Composable Architecture that avoids vendor lock-in, allowing developers to connect diverse data sources, integrate third-party tools, and adapt to evolving stacks.
- Embedding Readiness so that copilots, assistants, and agents can be branded, integrated, and deployed as white-labeled enterprise experiences.
By offering this combination of openness and control, GoodData empowers developers to design AI systems that are secure, auditable, and production-ready, without compromising creativity or speed.
Shaping the Future of AI-Native Data Intelligence
The release marks a significant turning point for GoodData, a company long associated with analytics and business intelligence. By expanding into AI-native data intelligence, the firm is positioning itself at the forefront of a market increasingly defined by enterprises’ need to monetize their data, accelerate time-to-value, and compete through automation and intelligence-driven operations.
With over 140,000 companies and 3.2 million users already leveraging its platform, GoodData’s new release underscores its ambition to define the next era of data-driven business. From embedding copilots into customer-facing products to orchestrating safe, auditable AI workflows across the enterprise, the company’s strategy reflects a deep understanding of both developer needs and enterprise realities.
Founded in 2007 and operating in both the U.S. and Europe, GoodData continues to broaden its impact on the global data ecosystem. The new platform’s focus on openness, security, and scalability further cements its role as a critical enabler of enterprise AI adoption in 2025 and beyond.
source https://newsroom.seaprwire.com/technologies/gooddata-introduces-next-generation-ai-platform-bridging-data-governance-and-enterprise-ai-agents/
