eMAM & XenData: Intelligent, AI-Powered Archive & Media Management

Leverage the joint power of eMAM and XenData to transform traditional LTO, cloud, and hybrid archives into an active, intelligent content repository. By combining XenData’s reliable archive appliances with eMAM’s asset management and AI capabilities, organizations can seamlessly catalog, search, enrich, and restore legacy and new digital media; all while maintaining high-performance, cost-effective storage.

Key Features

• Turnkey On-Premises Solution: Run the entry-level eMAM Vault directory system directly on a XenData server/appliance (such as the X25S or X50).
• On-Premises AI Intelligence (eMAM Next): Offload compute-heavy processing to a compact HP Z2 Mini workstation equipped with an NVIDIA GPU. Automatically generate speech-to-text transcripts, summary metadata, titles, and tags without recurring cloud processing fees.
• Multilingual Speech & Translation: Ingest media and process transcripts, summaries, and tags in multiple supported languages.
• Flexible Storage Workflows: Supports LTO tape, local disk, and multi-tier hybrid cloud setups (such as AWS Deep Glacier or Wasabi).
• Standard Network & S3 Interfaces: Access XenData archives as local network shares via SMB/NFS or securely via an S3-compatible interface with HTTPS/SSL.
• Production & NLE Integration: Seamlessly connect production tools and video editors (including Adobe Creative Cloud, Avid Media Composer, and DaVinci Resolve) to search, pull, edit, and re-archive assets.

System Architecture & Packaging

The combined eMAM & XenData package utilizes a "Two-Box" On-Premises Deployment designed to maintain peak archive performance without overwhelming server hardware:

1. XenData Archive Appliance (e.g., X25S / X50):

a. Hosts the XenData archive management software and the eMAM Vault database system.

b. Interfaces with connected LTO tape libraries or cloud target endpoints.

2. eMAM Next AI Workstation:

a. Compact HP Z2 Mini form-factor unit with built-in NVIDIA GPU.

b. Handles high-load tasks: ingesting media, transcoding proxy files, generating speech-to-text transcripts, creating AI summaries, and automated tagging.

How It Works

1. Ingest & Proxy Generation: Media is ingested into the system. The eMAM Next processing node creates proxy files for lightweight viewing and editing.
2. Automated AI Enrichment: eMAM Next runs automated AI models locally to transcribe spoken audio, summarize video content, generate titles, and auto-tag metadata.
3. Cataloging & Search: AI-generated transcripts, summaries, and tags populate directly into the eMAM web interface, lighting up legacy or dark archives for instant searchability.
4. Archive & Management: Full-resolution media is written to the XenData archive volume (LTO tape, cloud, or hybrid storage).
5. Retrieve & Edit: Editors search the catalog, review proxies, select clip ranges, and execute automated restores to local edit storage or distribution channels.

Target Applications

• Broadcast & TV Stations: Quick retrieval of historical footage for playout, news, and live sports.
• Film & Post-Production: Central repository for active projects, edit workflows, and master deliveries.
• Sports Teams & Leagues: Instant AI tagging to find individual plays, player interviews, and game highlights.
• Government, Education & Enterprise: Archival management for large internal video libraries requiring search and retrieval without recurring cloud costs.

Licensing & Support

• Tiered Software Options: Start with eMAM Vault for entry-level archiving and upgrade seamlessly to eMAM Publish, RecGroup, or Enterprise as requirements grow.
• Hardware & Support Bundling: Includes hardware appliances and bundled support contracts (typically 3-year standard support with 4th and 5th-year extension options available).