Real-time detection of anomalous behaviour patterns in players, accounts, or transaction streams. When activity becomes erratic or coordinated, our system surfaces it with auditable evidence you can justify to a regulator.
One engine, many lenses
Every module runs on the same white-box behavioural engine and the same data input. They're grouped by how ready each one is: what's available today, what assists human review, and what we co-develop with you.
Responsible gaming · Effectiveness
Measures whether a responsible-gaming intervention (a limit, a cooldown) actually lowered a player's risk. It splits each player's history and compares the risk score before and after, a pure, reproducible calculation with no model behind it, so the result stands up as evidence to a regulator.
Coverage
Financial exposure · Compliance
Flags players with high financial exposure by summing wagered volume, net loss and loss rate per player and classifying them against thresholds you calibrate. 100% arithmetic and fully auditable, a hot regulatory topic (MGA/UK) computed from data you already hold.
Coverage
Marketing compliance
Builds your do-not-contact list by excluding at-risk players from marketing through a deterministic rule on the risk score, logging the reason for every exclusion. Almost free to run, and it satisfies a growing regulatory obligation by design.
Coverage
Player behaviour · Compliance
Scores each player's behavioural risk (0–100) from five transparent factors (loss-chasing, session frequency, loss rate, a Hurst anomaly, and spend velocity) mapped to the MGA SR-01…SR-05 markers. A flagging and prioritisation system where every mark is explained, not a black-box predictor.
Coverage
Promotions · Fraud screening
Flags accounts with a value-extraction signature (an abnormally low loss rate over meaningful volume, inconsistent with normal house-edge play) as a cheap first filter for your anti-fraud team. A screening layer for human review, observable and explainable.
Coverage
Retention · Player protection
Identifies your highest-value players (auto-calibrated to the top of your wagering distribution) and cross-references their risk level, so retention and protection run off the same engine, with no new data required.
Coverage
Fraud · Coordinated patterns
Detects accounts with structured, persistent betting sequences using a per-account Hurst exponent. Offered as a pilot: it needs long histories and is validated against an operator's known fraud cases before it ships as a production product.
Coverage
Collusion · Networks
Identifies coordinated betting rings by detecting synchronisation across accounts rather than per-account patterns. Unlocks once real timestamps are available, an ideal pilot to obtain that data from the operator.
Coverage
Responsible gaming · Identity
Detects self-excluded players who return through a new account. Unlocks with cross-account fingerprinting or KYC data, offered as a pilot to establish that linkage with the operator.
Coverage
Anti-money-laundering
Extends the engine to anti-money-laundering screening over deposit and withdrawal flows. Unlocks with real transaction data, a natural pilot for operators that want AML coverage on the same auditable engine.
Coverage
Who it's for
Every result is fully transparent and auditable. Every signal can be justified to a regulator.
Grounded in statistical physics and stochastic analysis. Structural patterns, not empirical correlations.
Works across assets and time periods without constant retuning or manual adjustment.
Compatible with MiFID II, EU AI Act, Basel III and MGA from day one.
We are working towards the full release of our solutions. If you want to know more or discuss a pilot, start a conversation.