Dropbox, Inc. announced plans to acquire Tigris Data Inc. The Dropbox Tigris acquisition will accelerate the company’s expansion into AI infrastructure for companies and developers. Tigris operates a globally distributed object storage platform built for AI workloads. In addition, Dropbox unveiled DBX Agent Cloud, a storage and data infrastructure offering that begins with object storage. The company also introduced a major evolution of its core product. New AI-powered capabilities now work directly on customers’ existing files and workflows, and they have already rolled out to more than 70,000 teams.
Together, these announcements mark a significant step beyond traditional file storage and sharing. First, Dropbox Tigris acquisition extends its infrastructure expertise to companies that build AI applications. Second, it gives existing customers new ways to put their content to work with AI. Customers can ask Dropbox to complete supported tasks directly on their files. They can also use Dropbox content in supported third-party AI tools. Moreover, they can choose their AI models while keeping their work connected to existing permissions, history, and collaboration context.
“The value of AI depends on the content and context it can work with,” said Ashraf Alkarmi, co-CEO of Dropbox. “We’re bringing AI to the work people already keep in Dropbox and extending our storage expertise to companies building AI applications. Across both, our goal is to give customers the freedom to choose how they use AI while keeping control of the content they depend on.”
DBX Agent Cloud and the Planned Acquisition of Tigris
The Dropbox Tigris acquisition will help the company enter the AI infrastructure market faster. Dropbox builds on nearly two decades of experience operating storage systems at scale. Meanwhile, Tigris specializes in globally distributed object storage designed for AI applications. Developers can access and manage data across clouds without relying on a single provider.
As part of this expansion, Dropbox introduces DBX Agent Cloud. It serves as a storage and data layer for companies and developers building AI applications and agents. The offering starts with standalone, S3-compatible object storage. Companies can buy it independently. They can also use it with familiar tools and supported applications built for Amazon S3.
AI applications and agents need access to training datasets, model artifacts, images, and video. Furthermore, they need that content across clouds and compute providers. Therefore, Dropbox focuses on giving companies a portable foundation for their content. That foundation adapts as models, applications, and compute needs evolve. DBX Agent Cloud works alongside the clouds, compute providers, and developer platforms where customers already build and run applications. Dropbox aims to give those applications a consistent home for their content, wherever they run.
“Our customers depend on Tigris to keep their applications running, and their needs keep growing,” said Ovais Tariq, co-founder and CEO of Tigris. “Dropbox brings nearly two decades of experience operating storage infrastructure at scale. Combining that experience with our product and close relationships with developers would help us support larger workloads while keeping our focus on reliability, developer experience, and direct technical collaboration.”
Next, Dropbox plans to add filesystem and content-processing capabilities. Content processing turns documents, images, audio, and video into useful inputs for AI. Similarly, filesystem capabilities give applications and agents a persistent place to manage files. Agents can then continue their work across tasks and sessions.
AI That Acts Directly on Existing Dropbox Content
Within Dropbox, customers can describe what they want to accomplish. Dropbox then identifies relevant content, proposes a plan, and carries out supported actions after approval. These capabilities help customers work with large files, rich media, specialized file types, and shared projects right where their content lives.
Customers can ask Dropbox to find information, summarize folders, and compare versions. They can also request drafts of documents from project context. In addition, Dropbox can edit PDFs and images, transcribe recordings, and refine video clips. It can organize project folders, move or rename files, and complete several steps from a single request.
Dropbox shows customers a plan to approve before it makes changes. It works within existing permissions and keeps a record of every action. Customers can review changes and undo supported actions. As a result, results stay connected to the same folders, permissions, and sharing context. Teams can then review, collaborate, and continue their work.
Model Choice and Connections to Supported AI Tools
Customers can choose and switch supported AI models during a session in Dropbox. Their work context stays intact throughout. Likewise, customers can work on Dropbox files in supported AI tools, including ChatGPT, Claude, and Muse. They do not need to upload their content repeatedly, and the resulting work returns to Dropbox.
Teams can then share, review, refine, and reuse that work through their existing Dropbox workflows. Ultimately, these connections give customers flexibility in how and where they use AI. At the same time, their content stays connected.
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News Source: Businesswire.com
