Turn one data export into a quantified risk diagnosis.
Diagnostic-led risk & compliance for regulated gambling. The free Diagnostic proves the problem; the paid Blueprint explains the fix.
Multi-jurisdiction. Benchmarked against UKGC RTS as a high-control reference framework.
Not an operator · Holds no funds · Accepts no bets
LEDGEr LTD · Confidential
Upload → Diagnose → Quantify → Trust → Implement.
Send one anonymised export. No integration, no new instrumentation.
The engine determines what your data can prove — and surfaces findings only where the evidence supports them.
Where evidence supports it, measurable commercial leakage is sized: affected area, estimated recoverable range, and confidence.
Every figure traces to observed data; every decision is explainable and audit-ready. Nothing is fabricated.
The paid Implementation Blueprint explains exactly how to fix it; Integrated Deployment captures the value in production.
The free Diagnostic proves and quantifies the problem where the evidence supports it — and never fabricates a finding the data cannot support.
Free proves the problem. Paid explains the fix. Deployment captures the value.
Proves the problem and quantifies what is at stake.
- · The category of each problem found (where evidence supports it)
- · Its financial magnitude and estimated recoverable range
- · The affected area and the owning business domain
- · A confidence level on every figure
Explains exactly how to eliminate it.
- · The remediation design for each opportunity
- · The specific control and rule changes
- · The rollout sequence and configuration values
- · Success criteria and verification
Captures the value in production.
- · Live integration on your stack
- · Staged adoption: shadow → advisory → controlled automation
- · Ongoing audit evidence and monitoring
- · Owned by your team, with Ledgerproof support
The Diagnostic shows a problem’s category, magnitude, affected area, confidence, ownership and estimated recoverable range — never the thresholds, rules or steps that resolve it. That boundary is the product contract.
The leak is real — quantified on your data, not assumed.
Fraud composition — Sumsub, 2025 iGaming Fraud Report. Industry context; your figure is quantified from your own data where the evidence supports it.
- ~64%of iGaming fraud is bonus / promo abuseAccording to Sumsub 2025.
- 10–20%of promotional turnover lost to abuseAccording to LexisNexis.
- Every false decline= lost player lifetime valueAccording to industry.
Regulators just made this expensive.
Indexed enforcement scale — illustrative, from public UKGC enforcement summaries.
- —Regulators named alert backlogs a mechanism of failure.
- —Static thresholds are penalised — the Betfred source-of-funds case, an example from one strict regime.
- —RTS tightened: the audit trail now ranks alongside AML.
Risk-based catches more abuse and blocks fewer good players.
Illustrative, based on synthetic simulation. Your figures are measured on your data during the pilot.
The gap between static and risk-based decisions — same data — is the measurable leakage the Diagnostic quantifies, where the evidence supports it.
Two policies, same data — the gap is the opportunity.
Proof in five clicks — and proven on real data.
- 1Decisionaccept / reduce / reject / review / cooling-off
- 2Rule + versionwhich policy fired, at which version
- 3Input datathe exact inputs behind it
- 4Owner + timeaccountable owner, timestamp
- 5Tamper-evidencehash chaining the record
audit-readiness, not a passed audit. Evidence for an independent auditor.
Any decision resolves to its rule, version, inputs, owner, and a tamper-evident hash — a trail an auditor can follow.
We ran the engine on a real public dataset (Mendeley 9j5gcygnwg, CC BY 4.0). On payments-only data it produced zero findings — it refuses to fabricate what the data cannot evidence. See the Validation page.
What it's worth — and how the value is captured.
Ledgerproof determines what your data can prove, identifies measurable commercial leakage where evidence supports it, and quantifies the value at stake.
Full remediation logic is delivered through the paid Implementation Blueprint. We do not promise a number in advance.
The paid Implementation Blueprint explains exactly how to fix each opportunity — remediation design, control and rule changes, rollout and verification, proven in a Shadow-Mode pilot. Integrated Deployment then captures the value in production.
The Diagnostic is free and read-only. Nothing in production changes until you decide to act.
The credibility: an explainable decision engine.
Every decision is defensible.
- bet£5,000
- bankroll£1,000,000
- player risk0.15
- open liability£40,000
- 01 · within risk-adjusted capacity
- 02 · utilization 0.23 < 0.85
- 03 · player-risk below review threshold
Benchmarked against UKGC RTS — and we show our gaps.
| RTS 1 | Customer account information | PARTIAL |
| RTS 5 | Result determination | COVERED |
| RTS 10 | Interrupted gambling | COVERED |
| RTS 12 | Financial limits | BOUNDARY |
| RTS 14 | Responsible product design | COVERED |
| Security §4 | ISO/IEC 27001:2022 Annex A | COVERED |
RTS is our chosen benchmark — a high-control reference framework, with jurisdiction-specific mappings for Curaçao, MGA, Anjouan, Estonia and other regulated markets. We show the gaps (RTS 1 retention, RTS 12 = operator/PAM boundary, 14B, 8.17) on purpose — an honest map strengthens an auditor's trust.
Everyone owns one layer. We connect all three.
Built, tested, and honest about its limits.
Load test on synthetic PaySim data (mobile-money, not iGaming); performance only, not a revenue claim. Review-candidate: no money, custody, or settlement. Flat memory demonstrates O(1) streaming under load.