Kambi’s product lineup was relatively small but focused. They did not release products often, but when they did, they made significant waves on YouTube audiophile channels.
Before writing code, the following assets must be prepared or sourced:
| Asset Type | Name / ID | Context | Specs |
| :--- | :--- | :--- | :--- |
| Ambience | Amb_Crowd_Loop | Background crowd noise (Sportsbook feel) | 44.1kHz, Stereo, Seamless Loop |
| Ambience | Amb_Studio_Room | Quiet studio tone | 44.1kHz, Stereo |
| Music | Music_Main_Menu | Lobby/Menu background | 128kbps OGG, Loop |
| Music | Music_Suspense | During bet placement/odds change | 128kbps OGG, Loop |
| SFX | SFX_Click_Generic | Button press | Short, UI |
| SFX | SFX_Bet_Placed | Confirmation "Ching" or "Thud" | Short, UI |
| SFX | SFX_Odds_Update | Notification tick/beep | Short, UI |
| SFX | SFX_Win_Celebration | Winning result sequence | Medium length |
The next evolution of Kambi Audio involves machine listening. Instead of a human trader listening to 20 matches simultaneously, AI models can monitor hundreds of audio feeds, automatically flagging anomalies like:
Kambi has been investing in automated audio recognition to turn raw sound into structured data points, further removing latency from the trading chain.