The Gamblitude platform
One foundation.
A clearer view
of your business.
Connected data. Clearer questions. Better informed decisions.
Bring your iGaming data, analysis, AI and predictive models together. Every team works from shared definitions, with different ways to explore performance and decide what deserves attention.
One governed data model
Operational sources · Event-level history
Dashboards · Segments · Reports
Your history. Your decision. Your model.
Shared data and definitions across every layer.
Five connected capabilities
Start with the work
in front of you.
Each part of the Gamblitude platform has a clear role. Start with your question; keep the same data and definitions as the investigation develops.
Connect the data
Data Warehouse
Bring player, betting, casino, payment and acquisition records into a managed cloud lakehouse, with configured GA4 and Google Search Console exports where agreed. Preserve event-level history and the relevant historical Attribute states, so later analysis starts from shared definitions and available context.
What it gives your teamConnected history and shared definitions
Understand performance
Business Intelligence
Build dashboards, compare Metrics in Master Chart and Advanced Grids, explore Player Profiles and define Segments, including imported player cohorts and supported non-player entities. Use Instant Forecasts for a short-term KPI outlook and Statistical Scoring for historical context. Keep Targets for the plan and Reports for a point-in-time review.
What it gives your teamViews, Segments and reports your team can use
Investigate a question
AI for iGaming
Ask the AI Agent in plain language and inspect Queries used behind the answer. Save a generated chart to an existing or new dashboard. Set a recurring investigation in Insight Radar, suppress unneeded outputs through a configured no-trigger phrase, or brief a Report. Each workflow uses the shared data and governed definitions within your permissions.
What it gives your teamConversational analysis, recurring checks and reports
Discover the next question
Autonomous Agent
Let the agent choose investigative threads, follow related signals and surface findings worth reviewing. Continue with AI Agent when a discovery deserves more attention. Your team assesses the evidence and owns the business response.
What it gives your teamIndependent investigations with supporting context
Support a forward-looking decision
Predictive Models
Use operator-specific predictions, recommendations and assessments to inform a defined decision. Each model is built around your historical data, player population and agreed outcome, with delivery and evaluation scoped to the use case.
What it gives your teamPlayer-level predictions and scoped recommendations
Autonomous Agent is included in standard BI pricing. Predictive Models are scoped and quoted separately. Explore pricing.
A shared place to work
From the overview
to the next question.
A dashboard can lead to a detailed comparison, an AI conversation or a closer player review. A useful AI-generated chart can return to an existing or new dashboard, so the analysis becomes part of the next review. The data scope and permissions stay connected as your team moves through the work.
Predictive Models
Six applications.
Your operator’s context.
Choose the prediction, recommendation or assessment that fits the decision. Each model uses your historical data and an agreed definition of success.
Explore all Predictive Models
Revenue potential
Player GGR Prediction
Estimate future player sportsbook GGR alongside recorded performance.
Retention
Player Churn Prediction
Bring disengagement risk, changes and player context into retention review.
Reactivation
Bonus Value Optimisation
Develop bonus amount recommendations for an already qualified reactivation audience.
Content discovery
Content Recommendations
Rank eligible sportsbook events or casino games for a defined placement.
Player protection
Responsible Gambling Risk Detection
Support professional RG review with behavioural indicators and historical context.
Bonus Value Optimisation, Content Recommendations and RG Risk Detection are individually scoped implementations. RG assessment supports player protection, separately from promotional targeting.
Different teams. Shared definitions.
Connect the product
to the responsibility.
Begin with the team’s real question, then choose the views, investigations and signals that help answer it.
Shared data needs clear boundaries.
Review hosting, access controls and information security alongside your integration requirements.
The practical details
One platform.
Your questions.
Are these five separate tools?
They are connected parts of the Gamblitude platform. The managed warehouse, shared iGaming data model and governed definitions support BI, AI analysis, independent investigations and predictive modelling.
How are AI Agent, Insight Radar and Autonomous Agent different?
You ask the AI Agent a question. You define the investigation and schedule for Insight Radar. Autonomous Agent selects its own investigative threads. Your team reviews the findings and decides how to respond.
What is included, and what is scoped separately?
The platform subscription includes the data warehouse, BI tools, AI Agent, Insight Radar and Autonomous Agent. Autonomous Agent is available to every BI user at no extra charge. Predictive Models are scoped and quoted separately.
Can we use our existing data and workflows?
We review your source systems, historical coverage, definitions and access requirements before agreeing the integration. Delivery through exports, supported channels or agreed connections is scoped around the way your team works.
Where should we start?
Start with the decision or recurring question your team needs to improve. We can demonstrate the relevant workflow, review your available data and agree a practical first scope. Implementation and data freshness depend on the connected sources and delivery methods.
See how the pieces work together
Bring your stack.
Bring your questions.
We’ll walk through the relevant products using demo data, then discuss your sources, priorities and a practical starting point.
Book a demo