Services
Custom data engineering for iGaming
We design, build and deliver data warehouses, BI platforms and AI solutions for iGaming operators and solution providers. Every project is scoped to your operation, deployed on your infrastructure and handed over in full. No subscription. No vendor dependency. No fixed feature set.
What we build
Data Warehouse
The foundation everything else runs on. A purpose-built iGaming data warehouse that handles billions of events — bets, sessions, deposits, campaigns and player activity — with the right schema, the right granularity and the right governance to power analytics and AI.
- Designed around iGaming event structures: bets, markets, sessions, bonuses, affiliates
- Runs on your infrastructure — on-premises, private cloud or your own cloud account
- Streaming and batch ingestion from all your data sources
- Event-level retention for full historical analysis and ML training
- Full event-level traceability and data lineage from source to dashboard
BI & Reporting
A governed analytics layer that business teams can actually use without going through a data bottleneck. Dashboards, KPI definitions, self-serve reporting and monitoring — built around your verticals, your teams and your KPIs.
- Governed metric definitions — one source of truth across the operation
- Self-serve dashboards for CRM, trading, casino, finance and operations teams
- Continuous monitoring and alerting for KPI anomalies and operational issues
- Built in Tableau, Power BI, or your preferred tooling
- Your team owns and maintains it — no dependency on us to make changes
AI & Machine Learning
Custom predictive models and AI capabilities trained on your data, tuned for your verticals and built to run inside your own environment. Player value forecasting, churn prediction, bonus impact estimation and more.
- Built and trained on your own player data — not generic benchmarks
- Runs in your environment — AI inference never touches external servers
- Explainable model outputs your data team can understand, extend and maintain
- Integrates directly with your existing BI and reporting layer
- Custom scoping — we build what your operation needs, not a pre-packaged model suite
Data Engineering
The pipelines, integrations and infrastructure that keep your data layer healthy. ETL from every source in your stack, streaming ingestion, data quality monitoring, schema management and ongoing technical support.
- Connects all data sources: platform databases, affiliate systems, payment providers, CRM, flat files
- Robust pipelines built to run reliably at production scale
- Data quality checks and monitoring built into every pipeline
- Documentation and knowledge transfer — your team understands what was built
- Ongoing retainer support if you need the engineering capacity maintained
An engagement model built around your operation
We do not sell seats or feature bundles. Every engagement starts with understanding your operation — your verticals, your data sources, your teams and your goals. From there we scope the work honestly, deliver in short iterative cycles and hand over the finished system with full documentation and training.
Scoping & design
We assess your data sources, understand your KPIs and design the right architecture before a line of code is written.
Delivery & iteration
Short cycles with regular checkpoints. You see progress, give feedback and stay in control throughout.
Handover & support
Full documentation, training and knowledge transfer. Ongoing support available as a retainer if you want it.