GoodData.AI Launches Agentic Serving Plane for AI Agents

SAN FRANCISCO, November 10, 2026 /CourierPR/ -- GoodData.AI, an open agentic analytics platform, has launched the Agentic Serving Plane, a new category of enterprise data infrastructure designed to support AI agents. This innovative solution aims to address the unique demands of AI-driven workflows, providing a governed execution layer that sits between enterprise data platforms and the applications, analytics experiences, and agents that consume them.

The Agentic Serving Plane is designed to handle the high-concurrency, context-rich data workloads generated by AI agents. Unlike traditional enterprise data infrastructure, which was primarily built for human queries and predictable workloads, the Agentic Serving Plane is tailored to the rapid, iterative nature of AI operations.

The Agentic Serving Plane offers several key features to support AI agents and other data consumers. It provides workload serving, business semantics, contextual grounding, access control, and AI execution services through a common governed layer. This ensures that agents can bring analysis directly into operational workflows, investigate business conditions across multiple steps, and increasingly automate follow-up actions. Enterprises can use the same governed foundation to build internal analytics, operational AI applications, customer-facing data products, and premium AI-powered services.

One of the primary benefits of the Agentic Serving Plane is its ability to reuse the same business definitions, permissions, and execution services across different applications and agents. This means that teams do not have to rebuild the data foundation for every use case, which can significantly shorten development cycles and reduce duplicated infrastructure. Additionally, the platform provides a common control layer across analytical and AI workloads, giving enterprise IT a unified approach to managing these diverse operations.

GoodData.AI's Agentic Serving Plane is designed to work with the data infrastructure enterprises already operate. Using open technologies such as Apache Iceberg and Apache Arrow, the platform can serve analytical and agent workloads from customer-controlled data environments while adding the semantic, contextual, governance, and execution capabilities required by people and AI systems. The architecture is built on the technology GoodData.AI has developed since its founding, enabling many customers to share a single platform while maintaining tenant isolation and data privacy.

The Agentic Serving Plane also includes native inference capabilities, allowing selected AI capabilities to run closer to governed enterprise data without requiring a third-party model provider in the data path. This is designed to reduce latency and external inference costs while keeping AI execution closely aligned with customer-controlled business definitions, permissions, and data context.

GoodData.AI has been recognized for its innovative approach to analytics and business intelligence. In 2026, Gartner named GoodData.AI a Visionary in the Gartner® Magic Quadrant™ for Analytics and Business Intelligence Platforms, highlighting the company's broader analytics and developer-oriented platform approach.

The Agentic Serving Plane is now available to help enterprises put AI to work on their data while maintaining control over business definitions, permissions, and execution context. With its ability to support multiple analytical and AI experiences, the platform is poised to transform how businesses operate and make data-driven decisions.