Dalet has announced the latest Long-Term Supported (LTS) release of Dalet Flex.
Building on recent investments in usability, AI services, and workflow modernisation, the new release introduces intelligent automation across every stage of the media lifecycle from content acquisition and enrichment to editing, packaging, and distribution, helping organisations produce and deliver more content with greater speed, efficiency, and operational control.
Media organisations today face growing pressure to produce more content for more platforms with leaner teams and increasingly complex workflows. This Dalet Flex LTS release addresses these challenges by expanding AI-powered media intelligence through workflow automation and deeper integration with Dalia, Dalet’s media-aware agentic AI platform.
“Dalet Flex is the operational backbone for modern media organisations,” said Erwan Kerfourn, Head of Product for Dalet Flex. “This release advances the level of intelligent capabilities customers can access across their workflows, enabling them to achieve greater efficiencies and new ways of working using Dalia as a practical part of their everyday media operations.”
The Dalet Flex LTS updates introduce significant enhancements that simplify content acquisition while improving security, operational visibility, and workflow efficiency.
Support for OpenID Connect (OIDC) authentication strengthens enterprise security by enabling modern identity management and secure user authentication across Dalet Flex environments. New role-based permissions within Ingest Portal provide administrators with greater control over scheduling and recording operations while improving governance for distributed production teams.
At the same time, a modernised Ingest Portal makes distributed live production materially more efficient, including streamlined scheduling, multi-time-zone visibility, FIFO scheduling for Dalet Brio, and broader format support including DNxHD for the Flex encoder. The net effect is a live ingest operation that scales across locations and time zones without adding operational risk or headcount, turning content acquisition from a bottleneck into a controlled, repeatable capability.
Advanced vision models are embedded directly within the Dalet Flex infrastructure, enabling AI to process content where the media resides. As assets enter production, the platform can automatically generate descriptive metadata, identify objects, recognise emotional context, and perform content moderation analysis without requiring media transfers to external AI services.
This intelligence is surfaced directly within Dalet Flex through timeline-based metadata and asset views, making content easier to understand, search, and repurpose throughout its lifecycle.
