Read AI Brings International Data Processing and Storage To Global Customers

For millions of enterprises around the globe, where information is processed and stored is a business-critical decision. Read AI now supports organizations that need to satisfy and surpass ever-changing compliance requirements by offering local processing and data storage in major international markets including the UAE and EU. Read AI is one of the few AI-native platforms in the world to offer this functionality, anticipating the expected future requirements of AI powered tools that process sensitive, day-to-day work data for international organizations.

“Our global customers have been clear about what they need, localized processing and storage, and we’ve listened,” says CEO and Co-Founder David Shim. “Enterprises want regional guarantees, clear retention controls, and the ability to delete data on demand. Building on our leadership in privacy and security, we now add localized processing and storage to meet and exceed those expectations for our enterprise clients.”

For organizations in highly regulated industries like finance, healthcare, and government, local data residency may not be optional, and the ability to simply store data in a private bucket isn’t enough. GDPR and sector-specific regulations require clear answers to where data is processed as well as where it’s stored, who can access it, and how long it’s retained.

What’s Available Today

As of today, Read AI offers multi-region deployments in the UAE, EU, Australia, and Canada. This announcement coincides with Read AI's presence at Web Summit Qatar 2026.

In these regions:

• Meeting data, including recordings, transcripts, and summaries, is stored entirely in-region
• Meeting processing and AI workflows, including Search Copilot, are performed locally
• Data is routed directly to the appropriate regional deployment

These deployments allow Read AI to support customers who have the most stringent data residency requirements, while continuing to refine features and expand regional coverage. ‍

Performance Benefits for Distributed Teams‍

While compliance and trust are the primary drivers, storing data closer to where it’s used can also improve performance. Lower latency and faster access can make a meaningful difference for global and distributed teams, especially as AI-powered workflows become more central to daily work. In this way, localized data storage becomes a competitive advantage, with early indicators showing responsiveness that is 2x faster.

Climate Benefits for Fewer Emissions‍

The reduction of carbon emissions is another advantage of local data storage. In line with our commitment to operate sustainably and contribute to the global effort against climate change, Read AI opted for lower-emission regions when building our latest data storage infrastructure. In some cases, the output is 40x better in terms of carbon emitted per KWH used in comparison to the main U.S. deployment. These are efficiencies we pass on to customers who prioritize both performance and sustainability.

Our Commitment to International Customers:

• Regional Data Centers: Read AI will continue to add new local storage options so data can stay within national borders.
• Clear Retention and Deletion Policies: Read AI will continue to offer transparent controls over how long data is stored and when it’s removed, supporting increasing regulatory compliance and fragmentation.
• Transparency and Trust: Read AI will continue to support customers’ needs to clearly understand and communicate where data is stored and how it’s managed, acting as a partner to deliver on increasing needs from procurement and security teams.

“Data storage can empower businesses, giving them the confidence to deploy AI throughout their workflows,” says Shim. “By listening to customers and delivering localized solutions, Read AI is one of the only independent, enterprise-grade AI assistants that allows organizations to meet regulatory requirements, build trust, and move forward wherever they are in the world.”

To enable international data processing and storage, reach out via Read.ai/contact-sales

About Read AI
Read AI is the most affordable, comprehensive AI assistant on the market, serving 5 million monthly active users. In addition to capturing all meeting notes and safeguarding institutional knowledge, Read AI connects content across platforms, generates answers, surfaces actionable insights, and proactively makes intelligent recommendations to save time and support business outcomes. Co-Founded by David Shim (Co-Founder of Placed, sold to Snap, Foursquare) and SOC2 Type II, HIPAA, and GDPR compliant, Read AI was named a 2025 Top 10 AI Vendor for Enterprises by Brex, 2025 Top 50 AI App for Startups by a16z and Mercury, and a 2025 Top Seattle Startup by LinkedIn.