TA-XMAM PLUS AUDIO FINGERPRINT - Axel-Technology
Radio Studio > Other Equipment
₦ 2,070,395.18
VAT Included
VAT Included
Adcom - Axel-Technology
New
Available in 14 days
1) First year of mandatory assistance and software update.
2) Request a proposal for multi-year assistance service.
Technical remote assistance + free updates (1 year contract)
for software license XMAM PLUS-AUDIO FINGERPRINT
XMAM Plus is a sophisticated Media Asset Management (MAM) system specifically designed for Radio and TV broadcasters. It handles media storage, management, and editing processes while integrating with existing broadcast systems.
The solution combines AI-driven automation for metadata tagging, transcription, and summarization with flexible storage options (cloud, LTO, and disk). It also supports efficient collaboration through its web-based non-linear editing tool, Xtimeline, and offers seamless integration with AxelTech’s broadcast automation, logging systems, and newsroom computer systems (NCS).
XMAM Plus integrates advanced AI-driven media management, collaborative editing, and flexible, scalable storage options — all within one unified platform. It provides broadcasters with a comprehensive solution that automates key workflows such as metadata tagging, transcription, and summarization while integrating with existing broadcast automation and newsroom systems and offers deep storage management across multiple media formats (LTO, cloud, disk).
This means users can manage their media assets efficiently, collaborate effectively, and secure their content for long-term use — all while maintaining full control of their workflows and storage infrastructure.
AI-Powered Automation Efficiency: XMAM Plus significantly reduces manual data entry and searching time by automating metadata tagging, transcription, summarization, and keyword generation, allowing users to quickly find the content they need. The built-in AI features significantly reduce the human labor in organizing and managing content, leading to faster content discovery and processing.
Collaboration. With Xtimeline, production teams can work together on editing tasks without needing a complex NLE setup. The s
2) Request a proposal for multi-year assistance service.
Technical remote assistance + free updates (1 year contract)
for software license XMAM PLUS-AUDIO FINGERPRINT
XMAM Plus is a sophisticated Media Asset Management (MAM) system specifically designed for Radio and TV broadcasters. It handles media storage, management, and editing processes while integrating with existing broadcast systems.
The solution combines AI-driven automation for metadata tagging, transcription, and summarization with flexible storage options (cloud, LTO, and disk). It also supports efficient collaboration through its web-based non-linear editing tool, Xtimeline, and offers seamless integration with AxelTech’s broadcast automation, logging systems, and newsroom computer systems (NCS).
XMAM Plus integrates advanced AI-driven media management, collaborative editing, and flexible, scalable storage options — all within one unified platform. It provides broadcasters with a comprehensive solution that automates key workflows such as metadata tagging, transcription, and summarization while integrating with existing broadcast automation and newsroom systems and offers deep storage management across multiple media formats (LTO, cloud, disk).
This means users can manage their media assets efficiently, collaborate effectively, and secure their content for long-term use — all while maintaining full control of their workflows and storage infrastructure.
AI-Powered Automation Efficiency: XMAM Plus significantly reduces manual data entry and searching time by automating metadata tagging, transcription, summarization, and keyword generation, allowing users to quickly find the content they need. The built-in AI features significantly reduce the human labor in organizing and managing content, leading to faster content discovery and processing.
Collaboration. With Xtimeline, production teams can work together on editing tasks without needing a complex NLE setup. The s
