FOR-A is expanding its Impulse software-defined production suite and viztrick AiDi AI platform to support automated 9:16 content creation for sports broadcasters. The company is focusing on hybrid workflows that combine cloud-based flexibility with on-prem hardware to manage latency and production costs.
The push for automated vertical video reflects a critical need for broadcasters to monetize social media engagement during live windows when latency is most impactful. By moving toward software-defined nodes like Impulse, FOR-A is addressing the industry's shift away from rigid hardware toward flexible, scalable architectures that reduce human capital costs. This hybrid approach acknowledges that while cloud flexibility is essential, on-prem components remain necessary for minimizing the latency required for real-time sports highlights. As broadcasters seek to do more with fewer resources, the speed of AI model training becomes a competitive differentiator. Watch for whether Dome Productions successfully implements these AI tools for Canadian lacrosse and hockey broadcasts to validate the platform's cross-sport adaptability.
FOR-A is expanding its viztrick AiDi platform to automate 9:16 vertical video creation for sports like basketball, soccer, and golf. By integrating these tools into the software-defined Impulse platform, broadcasters can scale production resources and reduce latency, allowing for faster social media delivery and more efficient use of human capital.
The viztrick AiDi platform is a joint project with Nippon Television that uses AI to automate the creation of 9:16 vertical video content for live sports broadcasts.
The platform currently supports basketball, soccer, and golf, with hockey and IndyCar currently in development.
Model training for new sports typically requires one to two months of video data to achieve reliable tracking of objects like pucks or cars.
The Impulse platform uses a software-node structure that allows local news and station groups to copy and paste control room configurations, enabling them to scale production resources without traditional hardware limitations.
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