Starburst bets on semantic context to solve enterprise AI trust problem
Starburst Data Inc. today is expanding its push into enterprise artificial intelligence with the introduction of a platform aimed at allowing organizations to run AI workloads directly on distributed data without moving it into centralized repositories.
Announced at the company’s AI+Datanova event in Miami, the Enterprise Intelligence Platform combines Starburst’s federated query technology with a new business context layer, governance controls and agentic AI capabilities to address the inconsistency and fragmentation problems that confront organizations building scalable AI models.
The core of the announcement is the general availability of Aida, an AI assistant that lets business users query and analyze enterprise data using natural language. The company is also introducing AI-Ready Data Products that automate common tasks, new Apache Iceberg management capabilities and a bring-your-own-cloud deployment option aimed at customers that want greater infrastructure control.
The new platform is positioned as a “fully reimagined enterprise intelligence stack” that extends beyond the company’s original focus on federated analytics, said Jitender Aswani, senior vice president and global head of engineering and security at Starburst.
