Automate story-driven visuals within your editorial flow
Journalists face constant pressure to get stories on air quickly, but graphics production often slows them down. Relying on designers for every visual creates delays, reduces output volume, and limits effective use of studio video walls. The result: slower storytelling, missed opportunities, and higher costs.
Cast removes this bottleneck by connecting story creation directly to graphics automation. As soon as a journalist drafts a story, Cast analyzes its metadata, tone, and structure, then selects the best-fitting templates from the graphics repository. It automatically populates them with verified text, captions, and images, adapting visuals to fit perfectly. Complex layouts like full frames, tickers, or video walls are generated as easily as lower-thirds. All graphics appear instantly inside the NRCS, where producers can preview, adjust, and approve before air.
How does it work?
Cast integrates natively with ENPS, OpenMedia, and other NRCS systems via MOS plugins. When a story is created or updated, Cast triggers Cortex to orchestrate template selection, asset retrieval, and population. Graphics are generated instantly and displayed in the NRCS, ensuring a seamless workflow. Editors and producers always have final approval and can make quick adjustments. This accelerates turnaround and expands the volume of visuals that can be deployed on air and on studio video walls.
Key features
- Native NRCS integration for seamless editorial use
- Smart editorial mapping engine matches stories to templates
- AI-driven asset sourcing with auto-adjustment (cropping, resizing, formatting)
- Supports all formats: lower-thirds, OTS, tickers, video walls, AR…
- Embedded compliance to enforce brand and editorial standards
- In-line editorial preview, edit, and approval controls
