Gam­Score and Mind­way AI strengthen safer gam­bling with new part­ner­ship

Gam­Score and Mind­way AI have announced a strate­gic part­ner­ship focused on strength­en­ing safer gam­bling prac­tices across the global iGam­ing sec­tor. The col­lab­o­ra­tion brings together Gam­Score’s con­sumer-focused approach to bet­ting health with Mind­way AI’s tech­nol­ogy for iden­ti­fy­ing behav­ioural pat­terns asso­ci­ated with gam­bling risk.

The part­ner­ship reflects a broader indus­try move­ment towards player pro­tec­tion tools that are designed to sup­port ear­lier inter­ven­tion while giv­ing con­sumers a clearer under­stand­ing of their own gam­bling activ­ity. Rather than rely­ing exclu­sively on oper­a­tor-led mon­i­tor­ing, the two com­pa­nies intend to com­bine player-con­trolled insights with tech­nol­ogy that can help iden­tify poten­tial risk pat­terns.

Gam­Score is devel­op­ing a plat­form that gives bet­tors a per­son­alised view of their bet­ting health. Its approach is cen­tred on help­ing indi­vid­u­als under­stand their activ­ity and make more informed deci­sions about their gam­bling. The com­pany says its plat­form is intended to pro­vide users with greater vis­i­bil­ity and con­trol over infor­ma­tion con­nected with their bet­ting behav­iour.

Mind­way AI, mean­while, devel­ops tech­nol­ogy based on arti­fi­cial intel­li­gence, neu­ro­science and human expert assess­ment. Its solu­tions include GameS­can­ner and Gam­a­lyze, which are designed for dif­fer­ent aspects of player pro­tec­tion and behav­ioural aware­ness. Mind­way AI says its tech­nol­ogy is used across mul­ti­ple mar­kets and juris­dic­tions to sup­port oper­a­tors in iden­ti­fy­ing and respond­ing to poten­tial gam­bling-related risks.

Com­bin­ing player insight with behav­ioural tech­nol­ogy

The cen­tral idea behind the part­ner­ship is to con­nect two dif­fer­ent per­spec­tives on player well­be­ing. Gam­Score is designed around infor­ma­tion that can be accessed and under­stood by the bet­tor while Mind­way AI pro­vides tech­nol­ogy intended to help oper­a­tors recog­nise behav­ioural indi­ca­tors that may require atten­tion.

This com­bi­na­tion could offer a broader approach to safer gam­bling by con­nect­ing indi­vid­ual aware­ness with auto­mated mon­i­tor­ing. For oper­a­tors, behav­ioural infor­ma­tion can poten­tially sup­port more informed inter­ac­tions with cus­tomers. For play­ers, greater access to their own infor­ma­tion can encour­age a more trans­par­ent under­stand­ing of gam­bling habits.

Mark Pot­ter, Chief Respon­si­bil­ity Offi­cer at Gam­Score, said: “We are delighted to be part­ner­ing with Mind­way AI and strongly believe Gam­Score aligns per­fectly with Mind­way AI’s mis­sion of using tech­nol­ogy to sup­port sus­tain­able gam­bling and bet­ter player out­comes,” said Mark Pot­ter, Chief Respon­si­bil­ity Offi­cer at Gam­Score. “By com­bin­ing a prac­ti­cal finan­cial well­be­ing tool that encour­ages pos­i­tive engage­ment with Mind­way AI’s sec­tor-lead­ing behav­ioural pro­fil­ing exper­tise, this part­ner­ship can com­ple­ment exist­ing safer gam­bling ini­tia­tives and pro­mote pos­i­tive play for all.”

The empha­sis on com­ple­ment­ing exist­ing mea­sures is sig­nif­i­cant. Safer gam­bling frame­works dif­fer between juris­dic­tions and oper­a­tors, with require­ments often cov­er­ing areas such as cus­tomer mon­i­tor­ing, inter­ven­tion, self-exclu­sion and respon­si­ble gam­bling infor­ma­tion. Tech­nol­ogy can sup­port these processes but does not remove the need for appro­pri­ate gov­er­nance, human judge­ment and com­pli­ance over­sight.

Mind­way AI brings neu­ro­science and arti­fi­cial intel­li­gence

Mind­way AI has estab­lished its player pro­tec­tion propo­si­tion around a com­bi­na­tion of neu­ro­science, arti­fi­cial intel­li­gence and expert analy­sis. The com­pany says its GameS­can­ner solu­tion uses behav­ioural data and expert-informed mod­els to help iden­tify at-risk and prob­lem­atic gam­bling behav­iour. Gam­a­lyze takes a dif­fer­ent approach by using a gam­i­fied self-test designed to assess deci­sion-mak­ing dur­ing gam­bling rather than rely­ing solely on tra­di­tional ques­tion­naires.

The com­pa­ny’s tech­nol­ogy has also con­tin­ued to expand into dif­fer­ent areas of gam­bling and player pro­tec­tion. Mind­way AI iden­ti­fies oper­a­tors, plat­form providers, reg­u­la­tors and other indus­try stake­hold­ers among the organ­i­sa­tions that can use its solu­tions to sup­port player pro­tec­tion objec­tives.

Ras­mus Kjaer­gaard, Chief Exec­u­tive Offi­cer at Mind­way AI, said: “Part­ner­ing with Gam­Score allows us to com­bine neu­ro­science, human exper­tise and cut­ting-edge behav­ioural ana­lyt­ics with direct, player-led well­be­ing tools,” added Ras­mus Kjaer­gaard, Chief Exec­u­tive Offi­cer at Mind­way AI. “Empow­er­ing bet­tors with con­trol over their own data while pro­vid­ing oper­a­tors with deep risk-detec­tion insights is a vital step for­ward in build­ing a safer, more sus­tain­able gam­bling ecosys­tem.”

Kjaer­gaard is the cur­rent CEO of Mind­way AI and has led the com­pany as it has expanded its sci­ence-based player pro­tec­tion tech­nol­ogy inter­na­tion­ally.

A grow­ing focus on proac­tive player pro­tec­tion

The part­ner­ship comes as reg­u­la­tors and gam­bling busi­nesses in dif­fer­ent mar­kets con­tinue to place greater empha­sis on proac­tive player pro­tec­tion. The direc­tion of travel is increas­ingly focused on iden­ti­fy­ing poten­tial risks ear­lier rather than rely­ing only on inter­ven­tions after prob­lem­atic behav­iour has become estab­lished.

For oper­a­tors, this cre­ates a need for tech­nol­ogy that can process behav­ioural infor­ma­tion effi­ciently while sup­port­ing respon­si­ble and pro­por­tion­ate inter­ven­tions. At the same time, increased use of per­sonal and behav­ioural data cre­ates impor­tant con­sid­er­a­tions around trans­parency, pri­vacy, data gov­er­nance and the law­ful use of infor­ma­tion.

Gam­Score’s con­sumer-focused model is there­fore posi­tioned as a com­ple­men­tary ele­ment within this wider envi­ron­ment. The com­pany aims to give bet­tors a more direct role in under­stand­ing their gam­bling health rather than treat­ing player pro­tec­tion solely as an oper­a­tor-side respon­si­bil­ity.

This approach also reflects a wider recog­ni­tion that safer gam­bling can involve sev­eral stake­hold­ers. Oper­a­tors have reg­u­la­tory oblig­a­tions, tech­nol­ogy providers can sup­ply mon­i­tor­ing and assess­ment tools while con­sumers can ben­e­fit from greater aware­ness and access to infor­ma­tion about their own activ­ity.

The role of GameS­can­ner and Gam­a­lyze

The part­ner­ship is expected to draw on Mind­way AI’s exist­ing prod­uct port­fo­lio, includ­ing GameS­can­ner and Gam­a­lyze. These prod­ucts serve dif­fer­ent pur­poses within the com­pa­ny’s player pro­tec­tion propo­si­tion.

GameS­can­ner is designed for auto­mated detec­tion of poten­tially risky gam­bling behav­iour. Mind­way AI describes it as a tool that com­bines AI with neu­ro­sci­en­tific research and expert assess­ments to help oper­a­tors iden­tify risk pat­terns across their player bases.

Gam­a­lyze takes a more player-fac­ing edu­ca­tional approach. The prod­uct uses a gam­i­fied expe­ri­ence to exam­ine deci­sions made dur­ing sim­u­lated gam­bling activ­ity and then pro­vides feed­back based on the result­ing pro­file. Mind­way AI says the approach is intended to make self-assess­ment more engag­ing and action­able than con­ven­tional ques­tion­naires.

The com­bi­na­tion with Gam­Score could there­fore cre­ate oppor­tu­ni­ties for dif­fer­ent forms of player engage­ment. A bet­tor may gain greater vis­i­bil­ity into per­sonal gam­bling activ­ity while oper­a­tors can use behav­ioural tech­nol­ogy as part of their wider pro­tec­tion frame­works.

Data con­trol becomes increas­ingly impor­tant

Data gov­er­nance is likely to remain an impor­tant con­sid­er­a­tion as gam­bling tech­nol­ogy becomes more sophis­ti­cated. Player pro­tec­tion sys­tems often depend on analysing sig­nif­i­cant amounts of infor­ma­tion and busi­nesses must ensure that such infor­ma­tion is han­dled in accor­dance with applic­a­ble legal and reg­u­la­tory require­ments.

The com­pa­nies’ stated focus on player-led data con­trol is there­fore rel­e­vant to the broader dis­cus­sion sur­round­ing trans­parency. Giv­ing users a clearer under­stand­ing of how their infor­ma­tion con­tributes to assess­ments may help strengthen trust, although the prac­ti­cal imple­men­ta­tion of any inte­grated work­flow will ulti­mately depend on the applic­a­ble legal frame­work and the poli­cies adopted by par­tic­i­pat­ing oper­a­tors.

For the iGam­ing sec­tor, the chal­lenge is not sim­ply to col­lect more infor­ma­tion. Effec­tive safer gam­bling tech­nol­ogy must also turn infor­ma­tion into appro­pri­ate and pro­por­tion­ate action while main­tain­ing respect for pri­vacy and con­sumer rights.

Edu­ca­tion and inte­grated work­flows planned

Gam­Score and Mind­way AI also intend to col­lab­o­rate on edu­ca­tional resources and inte­grated work­flows. The objec­tive is to explore how player empow­er­ment and tech­nol­ogy can oper­ate together rather than func­tion­ing as sep­a­rate parts of a respon­si­ble gam­bling strat­egy.

Edu­ca­tional con­tent can play an impor­tant role in help­ing con­sumers recog­nise pat­terns in their own behav­iour. When com­bined with appro­pri­ate tech­no­log­i­cal tools, it can pro­vide play­ers with infor­ma­tion that may sup­port more informed deci­sions about their gam­bling activ­ity.

For oper­a­tors, inte­grated work­flows could poten­tially sim­plify how dif­fer­ent forms of player pro­tec­tion infor­ma­tion are incor­po­rated into exist­ing processes. Any such imple­men­ta­tion would need to account for indi­vid­ual mar­ket require­ments, oper­a­tor pro­ce­dures and applic­a­ble data pro­tec­tion oblig­a­tions.

What the part­ner­ship could mean for safer gam­bling

The sig­nif­i­cance of the Gam­Score and Mind­way AI part­ner­ship ulti­mately lies in its attempt to con­nect con­sumer empow­er­ment with tech­nol­ogy-dri­ven player mon­i­tor­ing. Both ele­ments have increas­ingly become part of dis­cus­sions about the future of respon­si­ble gam­bling.

A sys­tem that focuses only on auto­mated risk detec­tion may pro­vide lim­ited vis­i­bil­ity to the player. Con­versely, a con­sumer-fac­ing tool may not pro­vide oper­a­tors with the behav­ioural insight required to respond to emerg­ing risks. Com­bin­ing the two approaches could cre­ate a more com­pre­hen­sive frame­work, pro­vided the tech­nol­ogy is deployed respon­si­bly and within appro­pri­ate reg­u­la­tory bound­aries.

The part­ner­ship should there­fore be viewed as an addi­tional devel­op­ment in the evolv­ing safer gam­bling tech­nol­ogy land­scape rather than a replace­ment for exist­ing respon­si­ble gam­bling mea­sures. Effec­tive player pro­tec­tion remains depen­dent on a com­bi­na­tion of tech­nol­ogy, reg­u­la­tion, oper­a­tor processes, edu­ca­tion and appro­pri­ate human inter­ven­tion.

Con­clu­sion

The col­lab­o­ra­tion between Gam­Score and Mind­way AI rep­re­sents a notable attempt to bring player empow­er­ment and behav­ioural risk tech­nol­ogy closer together. Gam­Score’s focus on help­ing bet­tors under­stand their bet­ting health com­ple­ments Mind­way AI’s estab­lished work in AI-dri­ven behav­ioural analy­sis and neu­ro­science-based player pro­tec­tion.

As the iGam­ing indus­try con­tin­ues to develop more sophis­ti­cated approaches to respon­si­ble gam­bling, the abil­ity to iden­tify poten­tial risks while main­tain­ing trans­parency and con­sumer involve­ment is likely to remain a cen­tral con­sid­er­a­tion. Tech­nol­ogy can pro­vide valu­able sup­port, but its effec­tive­ness will depend on how respon­si­bly it is imple­mented and how clearly its pur­pose is com­mu­ni­cated to play­ers.

By com­bin­ing player-led well­be­ing tools with estab­lished behav­ioural tech­nol­ogy, Gam­Score and Mind­way AI are posi­tion­ing their part­ner­ship around a broader con­cept of player pro­tec­tion. The next stage will be to deter­mine how the pro­posed edu­ca­tional resources and inte­grated work­flows oper­ate in prac­tice and how they can com­ple­ment exist­ing reg­u­la­tory and oper­a­tor frame­works across dif­fer­ent mar­kets.

FAQs

What is the Gam­Score and Mind­way AI part­ner­ship?
The part­ner­ship brings together Gam­Score’s player-focused bet­ting well­be­ing approach with Mind­way AI’s behav­ioural ana­lyt­ics and player pro­tec­tion tech­nol­ogy. The com­pa­nies intend to explore ways to com­bine indi­vid­ual player insights with risk-detec­tion capa­bil­i­ties.

What is Gam­Score?
Gam­Score is a con­sumer-focused plat­form designed to help bet­tors under­stand, mon­i­tor and demon­strate their bet­ting health. Its approach cen­tres on pro­vid­ing play­ers with greater vis­i­bil­ity and con­trol over infor­ma­tion con­nected with their gam­bling activ­ity.

What does Mind­way AI do?
Mind­way AI devel­ops player pro­tec­tion tech­nol­ogy using arti­fi­cial intel­li­gence, neu­ro­science and expert assess­ment. Its solu­tions include GameS­can­ner and Gam­a­lyze, which sup­port dif­fer­ent aspects of safer gam­bling and behav­ioural aware­ness.

What is GameS­can­ner?
GameS­can­ner is Mind­way AI’s auto­mated player pro­tec­tion solu­tion designed to iden­tify behav­ioural pat­terns asso­ci­ated with at-risk or prob­lem­atic gam­bling. It com­bines AI with neu­ro­sci­en­tific insights and human expert assess­ments.

What is Gam­a­lyze?
Gam­a­lyze is a gam­i­fied self-assess­ment tool that exam­ines gam­bling-related deci­sion-mak­ing through an inter­ac­tive expe­ri­ence. Mind­way AI says it pro­vides feed­back intended to improve player aware­ness of risk-related behav­iour.

Why is safer gam­bling tech­nol­ogy becom­ing more impor­tant?
Oper­a­tors and reg­u­la­tors are plac­ing greater empha­sis on proac­tive player pro­tec­tion. Tech­nol­ogy can help process behav­ioural infor­ma­tion and iden­tify poten­tial risks while sup­port­ing inter­ven­tion and edu­ca­tional strate­gies.

How could Gam­Score com­ple­ment oper­a­tor mon­i­tor­ing?
Gam­Score is designed around player-led vis­i­bil­ity into bet­ting health while oper­a­tor sys­tems can mon­i­tor activ­ity for poten­tial risk indi­ca­tors. Com­bin­ing these per­spec­tives could pro­vide a broader view of player well­be­ing.

Does the part­ner­ship replace exist­ing respon­si­ble gam­bling mea­sures?
No. The part­ner­ship is pre­sented as a com­ple­ment to exist­ing safer gam­bling ini­tia­tives. Oper­a­tor poli­cies, reg­u­la­tory require­ments, human over­sight and estab­lished player pro­tec­tion mea­sures remain impor­tant.

Why is data con­trol rel­e­vant to safer gam­bling?
Player pro­tec­tion sys­tems can involve sen­si­tive behav­ioural and finan­cial infor­ma­tion. Clear data gov­er­nance, trans­parency and appro­pri­ate safe­guards are there­fore impor­tant when tech­nol­ogy is used to sup­port gam­bling-related assess­ments.

What are Gam­Score and Mind­way AI plan­ning next?
The com­pa­nies plan to work on joint edu­ca­tional resources and inte­grated work­flows. The aim is to explore how player empow­er­ment can work along­side behav­ioural ana­lyt­ics and other safer gam­bling tech­nolo­gies.