Vizrt Launches AI-Driven Advances for Speed and Accuracy in Media Management
Broadcasters and content owners are under pressure to deliver more assets, faster, across more platforms. Manual shot logging and archive research can't keep up. Vizrt's Viz One 8.1 integrates aiconix's DeepVA to automate heavy-lift metadata work so teams can find, reuse, and publish with speed and precision.
What's new in Viz One 8.1
- Visual recognition that identifies faces, objects, and scenes - including trainable custom models for local needs.
- Automated metadata generation replaces manual logging, with optional quality assurance steps.
- Tighter search and faster discovery across archives and live workflows.
Why this matters for Management, PR, and Communications
- Faster research and clip discovery reduce bottlenecks for news, sports, and entertainment deliverables.
- Better reuse for social, partner syndication, and campaigns - with stronger compliance support.
- Custom models help localize content, tag VIPs, and surface brand-relevant moments in seconds.
Measured gains
- Up to a 50% increase in logging accuracy.
- 10x speed in logging workflows.
- 5x quicker search and discovery.
How it works
DeepVA adds visual recognition that generates structured, machine-readable metadata. Teams move from time-consuming logging to reviewing AI-suggested tags, training custom models for unknown entities, and conducting targeted QA where it counts.
The net effect: less manual tagging, faster clip pulls, and more relevant assets placed in front of editors, journalists, and social teams right when they need them.
Built for security and scale
- Containerized architecture scales across on-premises, hybrid, and cloud environments.
- DeepVA services run within each Viz One deployment, keeping sensitive footage and metadata inside your infrastructure.
- Automation is applied where it adds clear value - without adding unnecessary complexity.
What leaders are saying
"Content creators need AI that works for their specific needs, not a one-size-fits-all solution," says Esther Arroyo, CMO at aiconix. "DeepVA's ability to train custom models and generate structured, machine-readable metadata ensures Viz One customers can optimize their workflows and deliver more relevant, localized content to their audiences."
"Viz One 8.1 is the next step in our long-term vision to accelerate efficiencies," says Jochen Bergdolt, Head of MAM at Vizrt. "By combining Viz One's proven reliability with intelligent automation, we're giving customers the tools to work smarter today - and build stronger media operations for tomorrow."
Action plan for comms and content leaders
- Identify your top three logging or clip-finding bottlenecks and map them to Viz One 8.1 tagging and search workflows.
- Set acceptance criteria for AI-generated metadata (precision/recall targets) and add a light QA pass for high-visibility content.
- Train 1-2 custom models for high-priority faces, logos, or recurring scenes linked to your brand, partners, or sponsors.
- Measure cycle-time reductions from ingest to publish; reinvest saved hours into creative and distribution.
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