Speed has become a defining constraint in modern publishing. Social teams and digital newsrooms are expected to react instantly, yet many media processing pipelines remain optimized for maximum quality and accuracy.
That quality-first approach is essential for premium assets and long-form content. But in fast-moving scenarios — when a story is breaking, a clip needs to go out while the moment is still live, or a goal has just been scored — those same pipelines can become a bottleneck.
Introducing Model TURBO
TURBO, our new analysis model, introduces a speed-first option inside MediaCopilot. It prioritizes rapid processing for time-sensitive use cases such as social clips, breaking news, and short-form video, where immediacy matters.
TURBO Model Selection
The shift is intentional and explicit: when time is the primary variable, the system should optimize for speed. Model TURBO makes that trade-off easy to select. While our Standard model delivers high accuracy in transcription and speaker detection, TURBO gives content and social teams a reliable way to move fast when the moment demands it.
For organizations where relevance depends on timing, speed becomes a deliberate choice rather than a limitation. Processing and publishing in near real time allows teams to keep pace with live events, engage audiences while attention is highest, and avoid losing value to delays.
