Focus on Mindway AI: Getting ahead of problem gambling with AI expert assessments
Summary
Mindway AI, a Danish company led by CEO Rasmus Kjaergaard, combines artificial intelligence with human expert assessments to detect and respond early to problem gambling behaviour. The firm operates in over 64 jurisdictions and holds a U.S. patent on its hybrid approach. Its flagship product, GameScanner, monitors behaviour in real time and — validated by Gaming Laboratories International — detects at least 87% of at-risk and problem gamblers. Complementary tools include Gamalyze, a neuroimaging-informed self-test, and AML-tracking functionality integrated into the same system.
Mindway highlights that early, individualised intervention can preserve long-term player value, and some operators using Mindway’s risk assessments have seen lifetime value improvements that outweigh short-term losses from high-spend customers. Recent expansion includes a partnership with U.S.-based PrizePicks to deploy dynamic behavioural analytics across their platform.
Key Points
- Mindway AI pairs machine learning with human expert input (psychologists, researchers, lived experience) to capture individual nuances in gambling behaviour.
- The company holds a U.S. patent for combining AI with expert assessments to clarify gambling behaviour and enable earlier outreach.
- GameScanner provides real-time monitoring and is validated by GLI to detect at least 87% of at-risk/problem gambling cases.
- Gamalyze offers a neuroimaging-informed online self-test to raise player awareness and surface unique risk markers.
- Mindway’s platform also tracks AML transactions, allowing operators to run risk and AML detection in one system.
- Operators using Mindway’s risk assessments can derisk databases, suppress marketing to vulnerable players, and — in some cases — increase lifetime value despite short-term revenue impacts.
- Recent U.S. partnership with PrizePicks demonstrates product-market fit for dynamic behavioural analytics in skill-based and sports-entertainment platforms.
Context and relevance
As regulators and operators push for stronger consumer protections, solutions that detect harmful behaviour early are increasingly important. Mindway’s hybrid method addresses the limits of purely algorithmic or purely human systems by blending both, which is especially relevant where behaviour is highly individualised. The integration of AML tracking into the same system is notable: it reflects a convergence of safer-gambling and financial-risk concerns, simplifying compliance and operational overhead for operators.
For product, compliance and responsible-gambling teams, the article shows a pragmatic route to both protect customers and preserve long-term revenue. The PrizePicks partnership signals that U.S. operators are open to adopting such tech at scale, which could accelerate broader industry uptake and regulatory interest.
Why should I read this?
Quick and useful — if you work in player safety, compliance or operator product, this is worth a scan. It explains why mixing AI with human expertise isn’t just marketing fluff: it boosts detection, helps target interventions earlier, and can actually protect lifetime value. Plus there’s a real-world US tie-up (PrizePicks) that shows this is moving from theory to practice.
Author style
Punchy: this piece matters for anyone responsible for player protection or regulatory compliance. Mindway’s numbers and patent-backed approach make it more than a novelty — it’s a practical, deployable solution with measurable outcomes.