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FlexPlay: building a platform made to grow with its partners

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FlexPlay is entering a new phase with the launch of its own casino platform. Leonid Matison, Head of Customer Success, speaks with EEGaming about what inspired the company’s evolution, how it is helping partners adapt to change, and why a focus on flexibility, creativity, and collaboration is driving its vision for the future.

What inspired the move into the platform space, and how did that background shape your approach to creating it?

FlexPlay was born from EvenBet Gaming out of working closely with operators and studios as an aggregator, so we had a very clear view of where existing platforms were falling short. Many operators were forced to adapt their business models to rigid technology instead of the other way around.

Moving into the platform space was a natural evolution. We wanted to build a product that reflects how the market actually works today: fragmented regulation, fast-changing player behaviour, and the need to launch, test, and adapt quickly. That background shaped our approach significantly. Instead of building a “one-size-fits-all” platform, we focused on modularity, flexibility, and speed, so operators can grow without having to rebuild their infrastructure every time their strategy changes.

 

The platform market is full of established names. What makes FlexPlay stand out, and what kind of identity are you building for the brand?

Our differentiation isn’t about being louder or bigger — it’s about being more adaptable. FlexPlay is designed as a partner-centric platform, not a closed ecosystem.

We are building an identity around flexibility, transparency, and collaboration. Operators can customise their product, UX, content strategy, and growth roadmap instead of fitting into predefined templates. Commercially, we also remove unnecessary pressure at early stages, for example with models where partners don’t pay content fees until they actually start growing.

In a crowded market, identity comes from how you work with partners day-to-day, not just from features on a website.

 

You have described FlexPlay as a platform that “evolves alongside its partners.” What does that look like in practice for operators working with you?

We don’t treat launch as the finish line. We stay actively involved after go-live.

Operators receive ongoing support in analysing performance, adjusting content portfolios, testing new mechanics, and refining player engagement strategies. Our platform allows operators to add, remove, or prioritise content quickly, run experiments, and respond to real player data instead of assumptions.

We also actively listen to partner feedback and translate it into platform improvements. If a feature or workflow doesn’t serve operators in real conditions, we adjust it.

 

How does that flexibility help brands entering fast-changing or emerging markets where conditions can shift quickly?

Emerging markets rarely follow a stable or predictable path. This year, we are going to SiGMA Africa for the first time, and this continent is just the right example of how quickly and often market transforms. Regulation changes, payment preferences evolve, and player behaviour can shift very quickly.

FlexPlay’s flexibility allows operators to adapt without disruption: adjusting payment flows, reconfiguring bonuses, changing content focus, or localising UX. The platform isn’t locked into rigid structures, so operators can react to market signals in weeks rather than months.

This is especially important for brands entering highly volatile markets in Africa or LatAm, where the ability to pivot often determines success.

 

AI is a hot topic right now. How are you exploring its potential at FlexPlay, and what do you find most exciting about how it can genuinely support operators and players?

We approach AI very pragmatically. For us, it’s not about replacing people or creating black-box systems, but about enhancing decision-making.

We are exploring AI in areas like player segmentation, behavioural analysis, and content recommendations. It may help operators understand what players actually want and when. AI can also support smarter lobbies, more relevant promotions, and better detection of engagement patterns.

What excites us most is AI’s ability to reduce noise. It can highlight what truly matters and help them act faster and more confidently. But it can’t and will not fully replace strategic decision-making by humans.

 

Personalisation has become an essential part of modern player engagement. What does it mean to you in practice, and how is FlexPlay helping operators bring it to life?

For us, personalisation means relevance. Not just visuals or messages, but the entire player journey. FlexPlay enables operators to segment players based on behaviour, preferences, and performance, and then tailor content, bonuses, and communication accordingly. This helps players discover games that actually match their interests instead of scrolling through endless lobbies.

Good personalisation improves retention and trust. Players feel understood rather than pushed, and operators benefit from stronger long-term engagement.

But we suggest avoiding over-personalisation: if the players see only the recommended “long tail”, it may affect the operator’s revenue. Manual curation in addition to personalisation (like featuring a seasonal game during a holiday, or an operator’s personal favourite) allows for strategic promotions and branding.

 

Growth can be exciting but also challenging for operators. How do you and your team at FlexPlay support partners as they take that next step?

Growth often exposes weaknesses in technology or strategy. Our role is to help operators scale without losing control.

We support partners with analytics, reviews, and strategic guidance, helping them prioritise what to scale and what to optimise first. Technically, the platform is built to handle growth without forcing structural changes. Commercially, we remain flexible so that a transition is easier for operators.

 

Looking ahead, what are the key milestones or developments you are focused on for the year ahead?

Our focus is on deepening platform intelligence and partner value. This includes expanding AI-driven tools, improving content discoverability, and enhancing automation where it adds efficiency.

We are also investing in better insights for operators: not just reporting, but actionable recommendations that help them make smarter decisions faster.

Another priority is continuing to refine our platform based on real partner use cases, not theoretical ones.

 

And finally, when you think about FlexPlay’s future, what do you hope the company will represent within the wider iGaming industry?

I hope FlexPlay will be seen as a trusted growth partner — a company that helped operators build sustainable businesses rather than short-term results.

In an industry that often focuses on speed and scale, we want to represent balance: technology that adapts, content that makes sense, and partnerships built on mutual success.

If operators look back and say, “FlexPlay helped us grow the right way,” that will be the real measure of success.

The post FlexPlay: building a platform made to grow with its partners appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.

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MGA Launches Consultation on AI Gaming Charter

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The Malta Gaming Authority (MGA) has launched a public consultation on a proposed AI Gaming Charter on the Ethical and Responsible Use of Artificial Intelligence.

The Charter has been developed in collaboration with the Malta Digital Innovation Authority (MDIA) and is intended to provide voluntary, principles-based guidance to support the responsible and transparent use of AI within the sector. It is designed to complement existing legal and regulatory frameworks, including the EU Artificial Intelligence Act, while reflecting the specific operational context of the gaming industry.

The post MGA Launches Consultation on AI Gaming Charter appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.

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SportVot raises $3.6m to expand sports production platform into Europe, US and West Asia

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SportVot has raised $3.6m in a new investment round as it plans to expand across Europe, Australia, the United States, and West Asia. The company said the funding will support international growth and further development of its AI-led production and analytics capabilities.

The round was led by Indian Angel Network’s IAN Alpha Fund, with participation from Anicut Capital, SucSeed Indovation Fund, LVX (LetsVenture), Capital-A, and other global investors.

SportVot positions its platform as a unified workflow covering capture, production, distribution, and monetisation for competitions outside top-tier broadcast ecosystems. The company said its cloud-based setup supports remote production in real time and includes automated highlights, graphics, insights, multi-angle viewing, decision review systems, and virtual advertising.

The company lists customers and partners including Junior Super Kings (Chennai Super Kings’ Junior’s Tournament), All India Football Federation, Rugby India, the International Table Tennis Federation (Oceania) and the International Padel Federation. It said that since launching operations in 2025 in Australia it has worked with organisations including Table Tennis Australia, Table Tennis Queensland, Netball Victoria, the National Pickleball League and KommunityTV.

SportVot said it has delivered over 500,000 matches across its core markets, reaching more than 100 million viewers in 30+ countries. In Australia, it said it streamed 12,000 matches over the past year across 30+ partner organisations.

Tim Anderson, Managing Director, SportVot Australia, said: “Over the past year, we’ve seen strong adoption from sports organisations across Australia looking to scale how their competitions are captured and distributed. The ability to deliver consistent, high-quality production across different sports and formats has been key. This next phase allows us to build further on that momentum, both within Australia and in closer alignment with global markets.”

Sidhhant Agarwal, Founder & CEO, SportVot, said: “What we are seeing globally is not a lack of sport, but a lack of structured systems to capture and distribute it at scale. Our focus has been to build something that can work across geographies, sports, and formats without adding operational complexity. As we expand into new markets, the goal is to enable more competitions to be seen, experienced, and sustained.”

The post SportVot raises $3.6m to expand sports production platform into Europe, US and West Asia appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.

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Tugi Tark whitepaper puts AI iGaming support at €0.15 per ticket

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Tugi Tark has released a 2026 whitepaper, The economics of AI-powered iGaming customer support, arguing that AI changes the unit economics of player support and can reduce costs compared with human-led operations.

The report cites “verified pricing” of EUR 0.15 per AI-handled ticket. It compares that with fully loaded employer costs for human support in Romania and Bulgaria of EUR 1.73 to EUR 1.88 per ticket. At a “realistic” 70% AI containment rate, the whitepaper claims a blended cost of about EUR 0.67 per ticket, which it describes as roughly a 64% reduction versus a human-only baseline of EUR 1.88.

Tugi Tark says its analysis draws on Eurostat 2024 labour cost data, published research on AI chatbot benchmarks, independent iGaming player behaviour research, and operational data from its own deployments. The company estimates operators can achieve a 55% to 75% reduction in total support expenditure, and argues AI can absorb volume spikes—such as during major sporting events—without additional hiring or training lag.

Harpo Lilja, founder and CEO of TUgi Tark, said: “In 2026, the ‘wait-and-see’ approach to AI is costing operators millions in unnecessary overhead. We aren’t just talking about chatbots; we’re talking about a fundamental shift in the unit economics of player retention.”

The whitepaper also frames customer support as a retention lever, stating that payment issues account for 52% of ticket volume and that slower response times drive churn. It claims a 0.5 percentage point churn reduction could retain an additional 500 players per month for a mid-sized operator, translating to €200,000 in annual revenue based on an assumed €400 Player Lifetime Value. Tugi Tark also claims AI agents average ~7 seconds for first response versus ~60 seconds for human agents, and outlines use cases across Responsible Gambling escalation, KYC/AML workflows, and GDPR-aligned data sovereignty.

The post Tugi Tark whitepaper puts AI iGaming support at €0.15 per ticket appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.

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