Services / AI & Machine Learning
AI built for iGaming. Running in your environment.
Custom predictive models, AI agents and intelligent monitoring — trained on your data, tuned for your verticals and deployed inside your infrastructure. Every output is explainable, every model is yours to operate, and your player data never leaves your environment for inference.
Why generic AI falls short in iGaming
General-purpose AI tools were not trained on iGaming data. They do not understand margin formation, RTP variance, bonus cost behaviour, cohort retention patterns, bet acceptance dynamics or affiliate traffic quality. Deploying a generic model on iGaming data produces outputs that look plausible and perform poorly. We build models shaped by how iGaming actually works.
- Bet structure, odds movement and market behaviour
- Casino session economics, RTP deviation and volatility patterns
- Deposit-bonus-withdrawal dynamics and bonus abuse signals
- Affiliate traffic quality and FTD value prediction
- Behavioural patterns that precede churn, VIP identification and lifetime value
What we build
Player Value & LTV Prediction
Your full-stack data analyst, running 24/7.
Forecast player lifetime value early in the lifecycle — within hours or days of first deposit. Identify future high-value players based on behavioural signals rather than deposit thresholds that only reveal value after most of it has materialised. Prioritise CRM spend, acquisition budget and VIP identification on forward-looking data, not historical averages.
Churn & Disengagement Prediction
Retention that prevents rather than reacts.
Churn rarely happens suddenly. The signals appear earlier — in session rhythm, engagement frequency and product usage patterns that shift before any KPI visibly drops. We build models that detect those shifts and surface early warnings so retention teams can intervene while there is still room to change the outcome.
Bonus Impact & Margin Protection
Spend the bonus budget where it changes behaviour.
Not every bonus drives incremental value. These models estimate which players are genuinely influenced by incentives and which would have converted anyway, predict the minimum offer needed to trigger the desired action, and detect bonus abuse early enough to intervene. The result is a bonus budget that rewards the behaviour you want rather than subsidising behaviour that was already coming.
Runs in your environment
Every model we build is deployed inside your own infrastructure — on-premises or your own cloud account. AI inference happens on your data, inside your environment, with no data leaving to external servers. Every prediction is traceable back to its input features. Every output is documented in terms your data team can understand, extend and maintain. We hand over the model, the training pipeline, the inference code and the documentation. You operate it.
What you get
- Custom models trained on your actual iGaming data — not general-purpose benchmarks
- Deployed inside your own environment — no external inference servers
- Explainable outputs with documented rationale for every prediction type
- Full handover: model code, training pipeline, inference setup, documentation
AI that understands your business, running on your infrastructure.
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