Databricks has unveiled Agent Bricks, a comprehensive platform for building, deploying, and managing enterprise AI agents at scale, positioning itself as the definitive foundation for the agentic AI era in enterprise data and analytics. The announcement came at the Data + AI Summit 2026, which drew more than 30,000 attendees to Moscone Center in San Francisco — a sign of the extraordinary appetite for enterprise AI solutions across industries.
The launch featured a marquee moment: a keynote conversation between Databricks CEO Ali Ghodsi and Microsoft Chairman Satya Nadella, whose appearance underscored the strategic importance of the enterprise AI agent market and the growing collaboration between the two companies. Their conversation highlighted how the convergence of data platforms and AI agents is creating a new category of enterprise software that goes far beyond traditional business intelligence or workflow automation.
Agent Bricks is designed as a modular architecture where AI agents can be composed from reusable building blocks — hence the name — enabling organizations to construct sophisticated autonomous workflows without rebuilding common components from scratch. Enterprises cited in the launch announcement include Workday, Virgin Atlantic, Zapier, and AstraZeneca, all of which have deployed Agent Bricks solutions for use cases ranging from financial analysis automation to pharmaceutical research acceleration.
The platform addresses one of the central challenges in enterprise AI deployment: connecting agents to the proprietary data that gives them real business value while maintaining governance, security, and compliance requirements. Agent Bricks leverages Databricks’ Unity Catalog for fine-grained data access controls, ensuring that AI agents can access the data they need to perform their tasks while enforcing the same permissions as human users — a critical requirement for regulated industries.
Alongside Agent Bricks, Databricks also announced Lakehouse//RT — a real-time analytics layer powered by its new Reyden compute engine that delivers sub-second response times for high-concurrency workloads. This capability is essential for agentic AI applications that need to query and act on the most current data available rather than working with periodically updated snapshots. Sub-second analytics fundamentally changes what AI agents can accomplish in time-sensitive business contexts.
The broader Databricks ecosystem continues to expand with these launches. The company’s Data + AI Summit serves not just as a product showcase but as a platform for establishing technical standards and best practices for enterprise AI. With more than 30,000 practitioners in attendance and millions more engaging with the content online, Databricks has positioned itself as the convening authority for the enterprise AI agent community — a strategic advantage that extends well beyond any individual product launch.
