A screenshot of the Portfolio DAM browser front end, the premier on-premise digital asset management application
The Portfolio DAM exhibition space at the ARCHIVES*RECORDS 2026 conference held in New Orleans
Portfolio DAM, the top-tier digital asset management solution for museums, archives, and institutions, will be on display at ARCHIVES*RECORDS 2026 in New Orleans.
Portfolio DAM is built to manage, monitor, and distribute digital assets among local and remote team members, whether they are in the same building, elsewhere in the nation, or on a different continent. We’re presenting it at ARCHIVES*RECORDS.”— Sam Bogoch, CEO, Axle.AI
NEW ORLEANS, LA, UNITED STATES, July 30, 2026 /EINPresswire.com/ — Portfolio DAM, the top-tier digital asset management solution for museums, archives, and organizations that require tracking of image assets, is participating as an exhibitor at the ARCHIVES*RECORDS 2026 Conference hosted by the Society of American Archivists in New Orleans, LA, scheduled from July 29 through August 1st.
“Portfolio DAM is designed to organize, track and share digital assets with local and remote team members in the office, around the country or across the world,” 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 program, which we are presenting at ARCHIVES*RECORDS 2026.”
Portfolio DAM serves more than 500 organizations globally, including notable divisions of U.S. federal and state governments, universities like OHSU and Cape Town University, Cambridge University Library, The Bodleian Library at Oxford University, the National Museum of Ireland, the World Bank, Grandi Stazioni, and numerous others. The software accommodates both Mac and Windows systems through standard web browsers and utilizes a scalable Windows 11 or Windows Server backend that supports a robust REST API for connection with other applications.
In line with Axle AI‘s MAM software tailored for video uses, every asset is retained on-premise to optimize performance, security, and confidentiality. Both Portfolio DAM and Axle AI MAM are storage-independent and can directly index any filesystem accessible on a local network. This method provides considerable benefits compared to cloud-based or repository-driven systems that require users to painstakingly duplicate their image and video files to a different location.
Portfolio DAM will be presenting the new 4.1.1 version of Portfolio Server and outlining their development strategy at booth #703 during the Conference. Integrations with Axle AI’s Connectr node-based automation tool and Axle AI Tags on-premise metadata tagging will also be demonstrated.
Sam Bogoch
Axle AI, Inc.
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