AI

Dropbox acquires Tigris Data for $350M to boost AI infrastructure

Dropbox is acquiring Tigris Data for $350 million to develop its new storage platform, DBX Agent Cloud, aimed at supporting AI model development.

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Dropbox acquires Tigris Data for $350M to boost AI infrastructure

Dropbox has announced the acquisition of cloud technology firm Tigris Data for $350 million, marking the company's largest acquisition to date. The deal is set to bolster Dropbox's AI infrastructure, specifically supporting the development of its new DBX Agent Cloud platform designed for developers building AI agents and models.

  • The acquisition deal is valued at $350 million
  • Closing of the transaction is expected in Q4 2026
  • DBX Agent Cloud will offer storage compatible with Amazon S3
  • The platform will support diverse content types, including audio and video for AI

The value of Tigris Data infrastructure Tigris Data was founded by former Uber engineers who specialized in storage infrastructure. Their technology automatically positions data closer to computing resources, drastically reducing access latency and improving performance. For Dropbox, this technology is vital for building a robust backend that can handle the high-throughput requirements of modern AI models and autonomous agents.

Expanding capabilities with DBX Agent Cloud The upcoming DBX Agent Cloud will initially operate as a standalone object storage product. It is designed to be fully compatible with tools built for Amazon S3, allowing for seamless integration into existing developer workflows. Future updates will include advanced filesystem features that enable AI agents to manage files across sessions, ensuring continuity when working with complex datasets like documents, images, and video.

Strategic implications for AI development This move reinforces Dropbox's transition from a simple file-hosting service to an integrated AI infrastructure provider. By acquiring Tigris Data, Dropbox is positioning itself to be the primary storage layer for enterprises deploying AI, bridging the gap between static cloud storage and dynamic AI processing. For developers, this provides a more unified and performant environment for managing data assets that fuel next-generation AI applications.

Source: TechCrunch

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