Mindway AI
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About
Mindway AI provides a suite of advanced monitoring tools designed to foster a safer gambling environment by identifying at-risk behaviors before they escalate. Born from research at Aarhus University, the platform integrates neuroscience insights with artificial intelligence to analyze player activity at scale. It serves as a sophisticated early-warning system that helps operators fulfill their duty of care while maintaining a fun and sustainable experience for their customers. By combining university-level research with enterprise-grade software, the company aims to move beyond simple rule-based triggers toward a more nuanced understanding of player psychology. The core of the platform revolves around two flagship products: GameScanner and Gamalyze. GameScanner uses a patent-pending AI engine that functions like a virtual psychologist, processing vast amounts of behavioral data to detect subtle markers of problem gambling that traditional rule-based systems might miss. Gamalyze offers a unique, gamified self-test where players engage in a neuro-psychological task, allowing the system to assess their decision-making and risk profile. Operators can view these insights through a spidergram visualization, which simplifies complex behavioral patterns into actionable reports for responsible gambling and compliance teams, facilitating better-informed interventions. The tool is specifically built for B2C gambling operators, ranging from tier-one global brands to regional regulated entities. It is particularly valuable for Responsible Gambling (RG) and compliance professionals who need to conduct in-depth analyses and manage large-scale player protection programs across multiple jurisdictions. Because the software adapts to various international market challenges, it serves as an essential asset for companies operating in heavily scrutinized and regulated regions such as North America and Europe, reaching over 14.7 million active players monthly. What sets Mindway AI apart is its scientific pedigree and multidisciplinary approach. Unlike standard compliance tools that rely purely on transactional triggers, Mindway’s algorithms are informed by a decade of neuroscience research and assessments by human experts. This allows for a more proactive understanding of player intent and risk level. By combining clinical insights with high-performance AI, the tool provides a level of depth in behavioral analysis that stands alone in the current RegTech and player protection landscape.
Pros & Cons
Utilizes deep neuroscience research from Aarhus University rather than just transactional data.
Monitors over 14.7 million active players monthly, demonstrating proven scalability for large operators.
Provides a unique 'virtual psychologist' AI that detects subtle behavioral patterns across 39 countries.
Features gamified assessments like Gamalyze that offer objective risk profiles for player self-correction.
Widely recognized with multiple industry awards for compliance and safer gambling innovation.
Requires direct contact for pricing as no transparent public tiers are available.
Specialized exclusively for the gambling industry, offering no utility for other sectors.
Complexity of the neuroscience-based data may require specialized teams to fully utilize insights.
Use Cases
Responsible Gambling (RG) teams can use GameScanner to monitor millions of players and identify early signs of addiction before they escalate.
Compliance officers in regulated jurisdictions utilize the tool to meet strict player protection and KYC requirements.
B2C gambling operators can implement Gamalyze as a proactive engagement tool to help players assess their own risk profiles.
Data analysts use the spidergram visualization to translate complex behavioral data into actionable intervention strategies for support staff.
Platform
Features
• patent-pending ai technology
• automated player protection analysis
• multi-country regulatory compliance
• early warning risk detection
• neuroscience-based risk scoring
• spidergram ux visualization
• gamalyze neuro-psychological testing
• gamescanner behavioral insights
FAQs
How does GameScanner identify at-risk gambling behavior?
GameScanner uses a patent-pending AI algorithm that functions as a virtual psychologist to analyze behavioral data. It identifies subtle patterns and markers of problem gambling that traditional rule-based systems might overlook, allowing for earlier intervention.
What is Gamalyze?
Gamalyze is a gamified neuro-psychological assessment tool that helps players understand their own risk profile. By engaging in a brief interactive task, players receive objective feedback on their decision-making and risk-taking behaviors.
Which organizations can benefit from using Mindway AI?
The software is designed for B2C gambling operators, including sportsbooks and casinos, who need to strengthen player protection. It is used by Responsible Gambling and Compliance teams seeking to meet regulatory requirements in over 39 countries.
What is the 'Spidergram' feature?
The platform includes a spidergram visualization that simplifies complex behavioral analytics into an easy-to-consume visual format. This allows operators to quickly understand specific player issues and conduct more effective, data-driven conversations.
How many players are currently monitored by this system?
Mindway AI currently reaches more than 14.7 million active players monthly across the globe. The company operates in 39 different countries, helping operators maintain safe gambling standards at a massive scale.
Pricing Plans
Enterprise
Unknown Price• GameScanner behavioral monitoring
• Gamalyze self-assessment tool
• Neuroscience-based AI analysis
• Spidergram data visualization
• Compliance reporting
• Multi-jurisdictional support
• 24/7 automated risk detection
• Expert-trained algorithms
Job Opportunities
Solutions Engineer
Protect players and ensure regulatory compliance with neuroscience-based AI that identifies harmful gambling behaviors across millions of active monthly users.
Benefits:
Competitive salary packaging based on your experience and qualifications
Lunch and an informal work environment with positive energy
A choice of equipment and a workspace centrally located in Aarhus
A flexible balance between working at the office and from home
A meaningful job with a high purpose
Education Requirements:
Bachelors or masters degree preferably within a technical field (e.g. Data science, Cognitive science or similar)
Experience Requirements:
2+ years professional experience in a data engineering role
Experience working with data and the data value chain (modelling, analyses, ETL)
Experience with Python and SQL
Other Requirements:
Self-driven and enjoy engaging in both academic and professional discussions
Excellent communication skills and fluency in English
Team player with a positive attitude
A knack for communicating technical topics clearly
Responsibilities:
Implement and onboard new customers by aligning data structures
Leading customers through the Tech sales funnel (demos, pilots, workshops)
Delivering on consultancy requests like UI optimisations or data cleanups
Optimising data pipelines and the data integration process
Developing and improving software solutions and UX designs
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