Why the Future of AI Relies on Conversation and Context

Starburst, led by CEO Justin Borgman, has reached a significant milestone by crossing the $100 million annual recurring revenue (ARR) mark, driven by an increasing demand for AI-fueled enterprise solutions. The company's mission to revolutionize data access by providing federated and governed access to data, without relying on traditional data warehouses, has positioned it at the forefront of the shift towards AI-driven applications. With a $20 million run rate from AI, Starburst is addressing the growing need for contextual data access in AI workloads, which are increasingly replacing traditional business intelligence (BI) systems with more interactive, agentic AI systems. The company's technology, built around the Trino distributed query engine, supports a diverse range of enterprise data needs, focusing on data governance, performance, and interoperability, making AI projects more achievable. Collaborations with major enterprises like Citi and Switch underscore Starburst's role in enabling federated data access and governance, eliminating the need for costly data migrations, and facilitating the integration of AI into core business operations. As the demand for intelligent, operational AI systems grows, Starburst continues to build a strong data foundation that supports this transition, enhancing enterprise data architecture and setting the standard for AI-ready infrastructure.