Company
Dropbox now brings AI directly to customers’ existing content, with greater choice, control, and peace of mind. DBX Agent Cloud extends our infrastructure expertise to companies and developers, starting with object storage.
Today, we’re taking two steps to make that possible:
- We’re rolling out the new Dropbox experience, helping customers find, understand, create, and edit content directly where their work already lives, with model choice and safeguards that give them confidence as AI takes action
We’re rolling out the new Dropbox experience, helping customers find, understand, create, and edit content directly where their work already lives, with model choice and safeguards that give them confidence as AI takes action
- We’re announcing DBX Agent Cloud and the planned acquisition of Tigris Data Inc., extending Dropbox’s infrastructure expertise to companies and developers, starting with standalone object storage and adding filesystem and content-processing capabilities next
We’re announcing DBX Agent Cloud and the planned acquisition of , extending Dropbox’s infrastructure expertise to companies and developers, starting with standalone object storage and adding filesystem and content-processing capabilities next
AI tools, models, and compute environments will continue to change. The content those systems depend on, along with its permissions, history, and context, needs a consistent home.
“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.”
AI takes action directly on existing Dropbox content
Dropbox serves customers whose work depends on content, including large files, rich media, specialized file types, and collaboration with external partners. Dropbox brings AI directly into that work. Now, customers can prompt Dropbox to:
- Find and understand: locate information, ask questions about files and projects, summarize folders, compare versions, and catch up on changes
Find and understand: locate information, ask questions about files and projects, summarize folders, compare versions, and catch up on changes
- Create and edit: draft documents from project context, edit PDFs and images, transcribe recordings, and edit or refine video clips
Create and edit: draft documents from project context, edit PDFs and images, transcribe recordings, and edit or refine video clips
- Organize and act: build project folder structures, move or rename files, and carry out several steps from a single request
Organize and act: build project folder structures, move or rename files, and carry out several steps from a single request
Customers can complete these tasks using the files and context already in Dropbox, removing the need to repeatedly upload and download content. Results stay connected to the same folders, permissions, and sharing context, so teams can review, collaborate, and continue their work.
The new Dropbox experience has already rolled out to more than 70,000 teams. The initial rollout focuses on eligible Standard and Advanced teams in the US, UK, and Australia, starting in English, with broader availability planned for 2027.
Model choice and controls over AI actions
As AI takes on more work, customers need clear ways to understand and manage what it does.
Dropbox shows a plan for approval before making changes, works within existing permissions, lets customers undo changes, and provides a record of the actions taken. These safeguards help customers use AI with confidence and help organizations keep content protected and governed.
Customers also have greater freedom to choose how they use AI. In Dropbox, they can choose and switch supported models within a session while keeping their work connected to its existing files, permissions, and collaboration context.
Dropbox connects content to supported AI tools
Customers can also work on their Dropbox files in supported AI tools, including ChatGPT, Claude, and Muse, among others, without re-uploading their content, with resulting work landing back in Dropbox.
Teams can then share, review, refine, and reuse that work through their existing Dropbox workflows. DBX Agent Cloud extends that principle of choice to the infrastructure companies use to build applications.
DBX Agent Cloud: data infrastructure for AI applications and agents
AI applications and agents create new demands for storage and data access. Training datasets, model artifacts, and multimodal content need to work across clouds and compute providers, while agents need persistent access to files across tasks and sessions.
DBX Agent Cloud brings Dropbox’s experience operating storage infrastructure at scale to companies and developers, starting with standalone object storage they can buy independently. The planned acquisition of Tigris would accelerate this expansion and advance our vision to be the trusted, independent content foundation for the AI era. The object storage offering is S3-compatible, allowing developers to use familiar tools and supported applications built for Amazon S3.
DBX Agent Cloud is a storage and data layer, designed to work alongside the clouds, compute providers, and developer platforms where customers already build and run their applications. Our focus is on giving those applications a consistent home for their content, wherever they run.
“AI is driving storage demand at a scale this industry has not seen before. Meeting it takes massive scale and a conviction we share with Dropbox: that customers should have the flexibility to run their compute wherever it serves them best, with a product built for developers and agents alike,” said Ovais Tariq, co-founder and CEO of Tigris. “Dropbox brings nearly two decades of operating storage at that scale. We bring the developer-focused product our customers depend on. Together we would meet that demand across the industry, and deliver the capabilities that come next, starting with filesystem and content processing.”
We plan to add filesystem and content-processing capabilities next. Content processing helps turn documents, images, audio, and video into useful inputs for AI. Filesystem capabilities give applications and agents a persistent place to manage files and continue work across sessions.
With these updates, we’re expanding how people and companies put their content to work by bringing AI directly into Dropbox, connecting Dropbox files to supported AI tools, and extending our infrastructure expertise to companies building applications. Across these efforts, we’re helping customers keep their content connected and under their control as AI tools, models, and workflows evolve.
