Player priority
Identify the players and teams most likely to drive the next decisive moment based on live game context.
AI Observer
AI Observer for esports broadcasts.
Automated in-game camera direction that follows the action in real time, identifies high-value engagements and prepares replay-ready moments while the broadcast is live.
How it works
Camera choices made from live game context
AI Observing watches match state, player positions, fight pressure and objective timing so the stream shows the most relevant gameplay.
Engagement detection
Surface fights, rotations, objectives and pressure spikes quickly enough for the broadcast camera to react.
Replay-ready markers
Mark kills, rounds, clutches and match-winning moments for replay, highlights and social packaging.
Observer system
Built for automated shows and human crews
Use AI Observing as a full automatic observer or as a support layer that helps human teams make faster camera and replay decisions.
Automated camera direction
Follow the most relevant gameplay without waiting for a manual call from the production desk.
Observer decision support
Give crews real-time prompts for player focus, tactical shifts, pressure zones and missed action recovery.
Replay and highlight support
Turn key moments into structured replay and highlight candidates while the show is still running.