Starburst, the leading data platform for applications and AI, announced at AI & Datanova a new suite of capabilities designed to operationalize the Agentic Workforce a model where humans and AI agents collaborate seamlessly to reason, decide, and act faster with confidence. The platform now offers built-in support for model-to-data architectures, multi-agent interoperability, and an open vector store on Iceberg, positioning Starburst as the first lakehouse platform that empowers AI agents with unified enterprise data, governed data products, and rich metadata. These innovations enable organizations to accelerate decision-making while maintaining trust, governance, and control.
Unlike traditional platforms that require data movement or rely on opaque retrieval processes, Starburst provides AI agents with secure, governed access to data wherever it resides whether on-premises or in the cloud at enterprise scale. This federated, model-to-data approach helps organizations maintain data sovereignty, reduce operational costs, and stay compliant, particularly in highly regulated industries or cross-border operations.
To further enhance enterprise confidence in AI, Starburst introduces advanced observability and visualization tools within its agent framework. Organizations can monitor LLM interactions, enforce usage limits, and view activity through intuitive dashboards. Additionally, Starburst’s agent can transform responses into charts and graphs, delivering not just accurate answers but also actionable insights. These capabilities provide unmatched transparency, governance, and usability as organizations expand AI adoption.
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“With the Agentic Workforce, enterprises move beyond analyzing data to taking intelligent action,” said Justin Borgman, CEO and Co-Founder of Starburst. “Our latest innovations bring models directly to governed data, allow AI agents to interoperate across multi-agent ecosystems, and provide open access to vector stores without lock-in. Starburst empowers organizations to scale AI securely and confidently across clouds, borders, and business-critical use cases.”
“Enterprises have been looking for a way to bring structured data and governance into AI workflows, and the emergence of Model Context Protocol (MCP) has made that possible,” explained Andrew Brust, Founder & CEO, Blue Badge Insights. “But Starburst takes this much further. Not only does it unify vector store connectivity for RAG, but it provides AI agents with secure access to governed data products, leveraging Trino’s federated architecture to do it all without data movement, thus ensuring compliance. The result is a pragmatic path for enterprises to scale AI with the trust, transparency, and regulatory control their business environments demand.”
Key Innovations Driving AI and Analytics
Starburst’s AI enhancements emphasize flexibility and scalability, allowing organizations to choose between model-to-data and data-to-model architectures. Key features include:
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Multi-Agent Ready Infrastructure: A new MCP server and agent API enables enterprises to create, manage, and orchestrate multiple AI agents alongside the Starburst agent, facilitating complex AI workflows.
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Open & Interoperable Vector Access: Unified access to vector stores supports retrieval-augmented generation (RAG) and search across Iceberg, PostgreSQL + PGVector, Elasticsearch, and more, ensuring freedom from vendor lock-in.
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Model Usage Monitoring & Control: Enterprise-grade monitoring and governance allow teams to track, audit, and control AI usage, preventing cost overruns and ensuring compliance.
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Deeper Insights & Visualization: Starburst’s conversational analytics agent can answer questions across multiple data domains with natural language responses, visualizations, or a combination, enabling deeper data discovery and actionable insights.
Beyond Dashboards and Copilots
AI is evolving beyond dashboards and copilots into autonomous workflows that demand real-time decision-making while maintaining long-term context. Enterprises in regulated sectors finance, telecom, manufacturing, and public services face the challenge of harnessing AI without compromising data governance or compliance.
“Starburst’s federated approach eliminates the need to centralize data while delivering consistent policy enforcement and transparent lineage,” said Matt Fuller, VP of AI/ML Products at Starburst. “This means companies operating across European borders can confidently build AI and agentic workflows without compromising compliance. Our AI-ready lakehouse is designed with privacy, trust, and performance at its core, giving teams governed access to the data that matters, whether they’re training LLMs, deploying retrieval-augmented generation, or orchestrating multi-agent workflows, without limitations of legacy architectures or vendor lock-in.”
A Platform Designed for Global-Scale, Compliance-First AI
Starburst’s platform empowers enterprises operating across the EU and other regulated regions to deploy AI while maintaining strict data residency, privacy, and compliance standards. Federated access allows organizations to query and analyze data in place, minimizing unnecessary movement.
With governance embedded at every layer, Starburst ensures data sovereignty across borders, clouds, and business units. Metadata-driven policy enforcement supports GDPR, Schrems II, and other evolving regulations, giving enterprises the confidence to scale AI securely, transparently, and compliantly, regardless of where their data resides.
