Kambi Processes Over 70 Percent of Bets With AI Trained on 15 Years of Trading Data
Kambi now routes over 70% of network bets through AI models trained on 15 years of trading data. Development started in 2021 and reached full integration by 2024. The system delivered 100% uptime across all 104 FIFA World Cup matches while supporting complex products and tighter risk controls.
SCCG Take — Network-scale data creates pricing and risk advantages that isolated operators cannot match. Partners must assess whether their suppliers deliver comparable automation depth to remain competitive on margins and product innovation.
Kambi has made AI a core element of its sportsbook infrastructure. More than 70 percent of betting activity across its network is now handled by systems built on over 15 years of historical trading, pricing, and outcome data. The provider’s SVP Trading Oliver Lamb stated that the advantage arises from this data foundation rather than AI technology in isolation.
Kambi began developing its AI trading capabilities in 2021. The models entered production in 2022 and became fully embedded by 2024. This year the system expanded to process multiple sports at once. Lamb described the project as sustained investment that turned the technology into essential infrastructure instead of an added feature.
Network Effects and Margin Performance
The scale of Kambi’s network supplies trading patterns from multiple operators and markets. Models learn from these patterns to detect anomalies that a single operator could not identify alone. Real-time monitoring adjusts for risk exposure and unusual behavior. The result includes more accurate pricing, stronger margin protection, fewer rejected bets, and the ability to support complex products such as Bet Builders, player props, and in-play markets without manual intervention at network volume.
World Cup Validation
The FIFA World Cup served as a high-volume test. Kambi delivered automated trading with 100% uptime across all 104 matches, alongside a broad range of combinable betting options. Lamb noted that automated trading at this scale with no downtime defines the system’s purpose in practice. The same engine and network intelligence remain available to operator partners for future events.
According to reporting by SBC News, these capabilities allow operators to expand product choice and promotional mechanics while preserving profitability. The infrastructure sets a standard for how accumulated data translates into operational scale.
Reporting: SBC News
Generated by SCCG’s automated editorial system from published source reporting. SCCG Management holds editorial responsibility.
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