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Early problem gambling detection. Real-time risk monitoring. Clinical-grade interventions. Regulatory compliance.
Real-time assessment of gambling disorder risk aligned with DSM-5 and PGSI clinical criteria
Session length escalation, frequency surge, loss-chasing, late-night binges, bet acceleration
Rapid deposit increases, frequent withdrawals, debt indicators, spending volatility
Automated deposit limits, time-outs, reality checks, messaging, self-exclusion support
Automatic helpline promotion, counseling resource integration, recovery tracking
Audit trails, gaming commission documentation, population-level RG metrics
Session duration escalation, frequency surge, game abandonment, betting velocity increase, time patterns
Rapid deposit growth, frequent withdrawals, deposit/loss ratio, spending volatility, debt behaviors
Stake increases after losses; session resumption post-loss; rapid bet acceleration (strongest signal)
Unusual play timing (late-night binges, session creep), frequency escalation, consistency change
Age, location, gender risk profiles; identify higher-risk populations for targeted monitoring
Map behavioral signals to DSM-5 criteria (tolerance, withdrawal, loss-of-control, continued play despite harm)
Combine multi-signal inputs into evidence-based risk score (0-100) per DSM-5 / PGSI standards
Match risk profile to appropriate intervention: limits, messaging, break, or escalation to support
Personalized daily/weekly/monthly caps based on risk score and income proxy
Mandatory 24h-7d breaks; escalate duration with repeated risk flags
Session cost reminder messages; time/spend awareness interruptions
Maximum loss thresholds; prevent chasing losses beyond safe boundaries
Support and enforce player-initiated temporary or permanent account closure
Auto-triggered messaging with problem gambling support resources
Integrated referral to evidence-based treatment and support services
Identity confirmation for self-excluded and high-risk accounts
Audit current RG capabilities, regulatory gaps, player protection objectives
Develop clinical-grade risk models aligned with DSM-5 and PGSI criteria
Deploy risk monitoring on cohort; validate accuracy; test interventions
Full deployment; integrate protective measures; train teams
Monitor outcomes, refine interventions, prepare compliance reports
Real-time risk detection. Clinical-grade interventions. Gaming commission aligned. 90%+ detection accuracy.
Schedule a Demo →Our models achieve 90%+ sensitivity identifying players at risk of developing gambling disorder. Specificity (true negative rate) 85-90%; calibrated to balance early intervention with false positive tolerance. Validated against DSM-5 and PGSI clinical criteria.
Risk profile determines intervention intensity: moderate risk gets messaging; high risk gets deposit limits; critical risk triggers helpline and counseling referral. Personalization considers player history, responsiveness, and gambling severity.
All data encrypted and compliant with GDPR/health privacy regulations. Risk assessment audited for bias; ensures fairness across gender, ethnicity, socioeconomic status. Explainable decisions build player trust in system fairness.
Track outcomes per intervention type: deposit limits reduce spending X%; time-outs increase break-taking Y%; counseling routing has Z% engagement. Compare player trajectories pre/post-intervention; measure recurrence prevention.
Protecting vulnerable players is the right thing; also protects long-term operator interests. Players caught early typically respond well to support. Sustainable business depends on responsible practices. Regulatory compliance protects licenses.