SAN FRANCISCO, CA – 18/10/2025 – (SeaPRwire) – In a quarter that has set new benchmarks, GoodData — a recognized leader in analytics and data intelligence — today reported its most successful Q3 to date. Fueled by record-breaking net new sales, the strategic acquisition of Understand Labs, and the unveiling of its Full-Stack Intelligence Platform, the company has underscored the accelerating demand for AI-native solutions across global enterprises. This performance reflects not just short-term gains, but a deeper shift in how organizations perceive the role of data and AI in their core architecture.
GoodData’s most recent quarter highlights three interwoven themes: (1) broadening enterprise adoption and deeper AI integration, (2) deeper technical strength via acquisition and product evolution, and (3) expanding global infrastructure to support scale. As legacy analytics platforms strain under AI expectations, GoodData is positioning itself as a future-forward solution where insights become action, and data becomes reasoning.
Enterprise Adoption at Full Throttle
A defining characteristic of GoodData’s Q3 is the robust expansion of enterprise-level engagements. The company achieved its best-ever net new Annual Recurring Revenue (ARR) growth, driven in large part by organizations ramping up AI-native deployments. Notably, 90% of enterprise opportunities are now being structured with agentic AI or autonomous decisioning workflows in mind — a clear indicator that customers are not merely experimenting with embedded intelligence but designing around it.
This transition points to a broader trend in the industry: today’s enterprises expect AI to do more than augment dashboards; they expect it to reason, take action, and adapt. GoodData’s results suggest that many organizations are now actively rewriting their analytics roadmaps to make AI-native capabilities foundational, rather than add-on.
Augmenting Capabilities through Strategic Acquisition
In a move that fortifies its AI and natural language capabilities, GoodData acquired Understand Labs, a specialist in semantic AI and conversational interfaces. This acquisition is more than incremental — it accelerates the evolution of GoodData’s intelligence stack by infusing advanced NLP, semantic modeling, and meaning-based understanding directly into its platform.
By embedding Understand Labs’ technology, GoodData aims to make analytics more conversational and intuitive. Users will gain the ability to ask questions in natural language, receive richer, context-aware insights, and interact dynamically with data through “agentic” workflows. Over time, this will reduce friction, lower the barrier to insight, and expand the scope of AI-driven automation within enterprises.
Launching the Full-Stack Intelligence Platform: From Insight to Action
Late in Q3, GoodData unveiled its Full-Stack Data Intelligence Platform — a strategic consolidation of its AI Lake, AI Hub, and AI Apps into one unified foundation. This launch signals the company’s evolution from a traditional business intelligence provider to a fully AI-native data intelligence engine.
Key capabilities include:
- A semantic data layer that understands business concepts, not just tables and fields
- Orchestration and governance tools enabling compliance and model control
- Secure, extensible AI applications that enterprises can embed into workflows
- Bring-your-own-LLM support and open APIs for flexibility and customization
These innovations empower enterprises to architect agentic intelligence — systems that reason, act, and adapt — far beyond conventional dashboards. The new platform bridges the gap between insight and execution, enabling organizations to build AI agents that operate inside their products, processes, and operational environments.
Milestones and Metrics That Matter
During Q3, GoodData marked progress across multiple fronts:
- Growth in AI adoption: More enterprises have begun transitioning from static reporting to operational, agentic AI workflows, converting data investments into business outcomes rather than mere dashboards.
- Strategic hiring and scaling: To support rising demand, GoodData expanded its U.S. Enterprise AI sales team, ensuring that capacity and expertise keep pace with market expectations.
- Global infrastructure expansion: The company launched a new Singapore data center, increasing redundancy and improving performance for clients across the Asia-Pacific region.
These achievements illustrate not just internal momentum, but GoodData’s readiness for global, enterprise-scale challenges in AI and analytics.
Leadership Perspective: Mission, Momentum, and Market Positioning
Roman Stanek, CEO and Founder of GoodData, emphasized how these milestones reflect the company’s evolving vision:
“Our record-breaking Q3 is strong proof that our AI-native strategy is reshaping the analytics market. With the addition of Understand Labs and the launch of our Full-Stack Intelligence Platform, we’re steadily advancing toward our mission: enabling enterprises to unlock the full power of AI through governed, scalable, and trusted analytics.”
Stanek’s remarks point to a long-term narrative: analytics platforms without native intelligence will no longer suffice — the industry is shifting toward embedded reasoning, operational AI, and governed autonomy. GoodData aims to lead that transition.
In the near term, GoodData will showcase its innovations at Money20/20 USA (Booth #20093) from October 26–29, reinforcing its presence and signaling confidence in its growth trajectory.
What This Means for Enterprises and the Market
GoodData’s Q3 performance highlights several emerging truths in enterprise analytics:
- AI-native is no longer optional — analytics vendors must embed reasoning as a core capability.
- Conversational and agentic interfaces are rising — enterprises expect to interact with insights, not just view them.
- Governance and compliance remain pivotal — as AI becomes more autonomous, controls and oversight will determine trust.
- Global reach matters — investing in data infrastructure across regions helps overcome latency, regulation, and sovereignty challenges.
Organizations currently struggling with siloed dashboards, manual workflows, or limited AI experiments may see GoodData’s approach as a path toward operational intelligence — where data architects, analytics leads, and product teams realign toward launching autonomous, embedded agents that reason and act.
About GoodData
GoodData is a full-stack, AI-native data intelligence company built to deliver speed, scale, and trust. Its composable platform allows enterprises to transform governed insights into action, supporting any deployment model — public, private, hybrid, or on-premises. With no-code tools, SDKs, and robust APIs, GoodData covers the full analytics lifecycle, from modeling to AI-powered automation.
The platform enables organizations to customize solutions, launch quickly, and monetize analytics-driven features in their products — all under enterprise-grade security and governance. Today, GoodData supports over 140,000 companies and 3.2 million users globally, helping them modernize operations, generate value, and elevate their data maturity.
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