Mindway AI partners Anonymind to tackle gambling addiction
Under the deal, Mindway AI’s protection technology will be combined with AnonyMind’s expertise in treatment to create a solution for identifying and addressing at risk players.
Operators that integrate Mindway AI’s software will now have the option to provide players with access to AnonyMind’s counselling services. This will allow them to take proactive steps to prevent and treat addiction.
Mindway AI’s innovative software is based on machine-learning algorithms in combination with expert human psychologists’ assessments to identify at-risk gambling behaviour.
By analysing player data drawing upon insights from neuroscience and neuroimaging, the software detects early warning signs of problematic behaviour and provides operators with actionable insights to help prevent addiction.
The software has been integrated into a number of major online gambling platforms in over 21 countries, reaching over 6.5 million active players monthly.
AnonyMind offers confidential, evidence-based and personalised psychological treatments for individuals struggling with gambling addiction. Treatment is delivered by regulated and accredited clinical psychologists.
Individuals are matched to the right therapist, who then tailors the treatment via a “clinical formulation” to meet the need of the client. Affected family members that may need support are also offered help.
Prevent addiction
“At Mindway AI, we are committed to using our technology to help operators promote responsible gambling and prevent addiction,” Mindway AI chief executive Rasmus Kjaergaard said. “We are thrilled to partner with AnonyMind, who share our commitment to addressing this important issue.”
AnonyMind’s head of partnerships, Andrew Plummer, added: “This first of its kind partnership sees the integration of Mindway’s market leading AI technologies with the AnonyMind CarePlus service to proactively identify problem gambling within an operator’s network and provide independent, flexible and sustainable intervention support to prevent the escalation of harmful behaviours.
“We look forward to this collaboration and the important insights that can be gained through truly independent early identification and intervention.”