Portfolio DAM screenshot – browser front end of the industry leading on premise digital asset management application
Portfolio DAM booth at the ARCHIVES*RECORDS 2026 conference, New Orleans
Portfolio DAM, the world-class digital asset management system for museums, archives, and organizations, is exhibiting at ARCHIVES*RECORDS 2026 in New Orleans.
Portfolio DAM is designed to organize, track and share digital assets with local and remote team members locally, around the country or across the world. We're showcasing it at ARCHIVES*RECORDS.”— Sam Bogoch, CEO, Axle.AI
NEW ORLEANS, LA, UNITED STATES, July 30, 2026 /EINPresswire.com/ — Portfolio DAM, the premier digital asset management solution for museums, archives, and organizations that require image asset tracking, is presenting at the ARCHIVES*RECORDS 2026 Conference hosted by the Society of American Archivists in New Orleans, LA, running from July 29 through August 1st.
"Portfolio DAM is built to organize, monitor, and distribute digital assets alongside local and remote colleagues—whether they are in the office, across the country, or around the globe," stated Sam Bogoch, CEO of Axle AI. "Following our recent acquisition of Portfolio, we have bolstered our engineering team to further develop and enhance this top-tier asset management platform, which we are highlighting at ARCHIVES*RECORDS 2026."
More than 500 organizations worldwide rely on Portfolio DAM, among them prominent agencies of the U.S. federal and state governments, universities like OHSU and the University of Cape Town, Cambridge University Library, the Bodleian Library at Oxford University, the National Museum of Ireland, the World Bank, Grandi Stazioni, and many others. The software supports both Mac and Windows clients via standard web browsers and runs on a scalable Windows 11 or Windows Server backend that provides a robust REST API for connecting with other applications.
In line with Axle AI's MAM software designed for video workflows, all assets stay on-premise to maximize performance, security, and privacy. Both Portfolio DAM and Axle AI MAM are storage-agnostic and can directly index any filesystem reachable on a local network. This method delivers substantial benefits compared to cloud-based or repository-based systems that require users to manually transfer their image and video files to a separate location.
At booth #703 during the Conference, Portfolio DAM will showcase the new 4.1.1 release of Portfolio Server and present their development roadmap. Demonstrations will also include integrations with Axle AI's Connectr node-based automation tool and Axle AI Tags on-premise metadata tagging.
Sam Bogoch
Axle AI, Inc.
+1 857-408-4923
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