Interviews
Exploring the Metaverse and AI’s role in it
with modl.ai’s CEO & Co-founder Christoffer Holmgård
- How do you define a metaverse?
The metaverse is a challenging thing to define, partly because it’s such an abstract concept, but also as no one has created one yet – so the exact scope of what we’re talking about is a bit blurry. To define the Metaverse, it makes sense to look to fiction, where the term was originally coined. In Neal Stephenson’s Snow Crash, the Metaverse is a digital, online universe, perceived from a first-person perspective, that exists independently of whether you are logged into it or not. It’s a persistent place that you can access, change, leave, and return to.
There’s a myriad of possible definitions, but there are common threads between them. The metaverse could be defined as a multi-user real-time virtual space where individuals around the world can connect via a network, co-exist and socialise. Many games and platforms exist already that could fit this description, but what sets apart the metaverse from a traditional multiplayer experience is the ability for players to create and share content to shape the world around them in a more or less persistent setting.
- When do you think the first Metaverse will be created?
Some think we’ve already arrived, others think the metaverse will be far grander in scale. If you look at your gaming library today, examples that resemble metaverses will instantly jump out at you in the shape of Minecraft, Dreams, Fall Guys, Roblox and Fortnite. For many people, these titles are no longer considered games but persistent spaces to connect and socialise through virtual experiences – that may or may not include gaming.
Historically, the gaming industry has seen many forms of the metaverse since its inception. World of Warcraft has had its own functioning virtual and digital metaverse in the form of a digital and virtual economy for decades. Second Life is another early example that partly fits the bill, and EVE Online in particular stands out as a persistent universe shared between all the players where large organizations and even an economy have sprung up. Looking even further back, the early Multi-User Dungeons of the 1970s – or MUDs – might be considered proto-metaverses without graphics. Each of these examples contain different characteristics that define the Metaverse, even if they didn’t manage to achieve them all.
- How are you seeing the metaverse trend being reflected in the industry right now?
We’re seeing a drive across the games industry toward creating platforms for Metaverse-like experiences. Using either existing technologies or games, and even building new ones. The trend has been going on for quite some years, but it seems we’re reaching a point where the idea of Metaverses is coming together for both players and large industry actors. What’s more, the global pandemic has undoubtedly accelerated some of these trends that were already underway.
Fortnite, Roblox, and other big titles have slowly evolved from games to online spaces where people can interact and spend virtual currency on in-game items to build relationships and experience something fun and unique. Elsewhere, the trend continues thanks to games like Fortnite, which continues to develop more virtual experiences like its famous concerts. What’s more, Fortnite’s publisher, EPIC Games, recently raised $1 billion to support its future vision to build the metaverse.
With nearly 40 million daily users, the online gaming platform Roblox has become an incredibly popular online community. The game allows its users near-limitless possibilities to create, buy and sell, customise and socialise. What’s more, Roblox no longer calls itself a game on its website anymore; instead, it’s now an experience.
In essence, it’s a collection of semi-persistent spaces created by players using the same foundational tools and protocols. They make their spaces uniquely their own by changing and expanding templates and customising them in creative ways that no single game development company could come up with on their own.
Developers who have created popular interactive virtual social spaces have realised the earning potential behind their ‘games within a game’. So the race to perfect the metaverse model is on!
Many believe the metaverse is the next logical evolution of the internet, so it’s easy to see why so many big industry players are racing to stake their claim and take as big a piece of the pie as possible. So much so that even the country of South Korea has begun laying the foundation for its metaverse, as it recently created an alliance between 17 of the country’s industry-leading tech companies. Most recently, Facebook came out and declared itself a contributor to bringing about the Metaverse.
There is currently no single metaverse, but given the recent boom in brand collaborations and cross-platform play, in the future, we may see several of them become interoperable or meld together in a shared vast universe. But the biggest hurdle will still remain getting companies to look past their own interests to drive inter-organisational collaboration.
- What do you think will be some of the main hurdles in establishing the first metaverse?
Creating a metaverse is one thing, but keeping players engaged and returning to this new frontier is another. Gaming professionals need to understand what motivates players to contribute and come back to these virtual spaces. The key lies in understanding player behaviour. It may sound obvious, but measuring the way a given player moves through and interacts with a virtual space is a great way to gauge their interests. Their interactions, however seemingly insignificant, reveal the player’s preferences from moment to moment.
Understanding a player within the metaverse could be reached by manually picking and studying the individual user, but this approach quickly becomes unfeasible at scale. Alternatively, one can sample representative users, but this form of user research is time-consuming, expensive, and doesn’t pinpoint accuracy at the individual player level. This is where artificial intelligence can help.
- What role will AI play in the metaverse?
Put simply, publishers need their players to return, continue investing, and growing with the environment itself. Tools such as AI that learns from and understands the audience could be the key to growing the metaverse as the game industry’s next frontier.
Today we’re already seeing how AI can assist in daily work, assisting with checking, testing, coding, or even generating whole segments of stories automatically. As more people become digital content creators, we expect AI to take a role as a creative assistant working next to human creators, automating boring, repetitive or difficult tasks that are part of the creation process. AI systems will learn from prior examples and patterns in the Metaverse and use the learnt information to assist with new creative processes.
An additional way in which AI will be significant in the Metaverse is that AI systems will get to know you over time and shape your experience of the Metaverse accordingly. A quality of digital universes is that they, by their nature, allow for the observation of just about everything that goes on in them. One method that can help developers understand their players is by recording their behaviour at the action level and using it to create AI Personas – which are essentially models of the players in parts of the metaverse. By first logging and replicating player behaviour, AI Personas can predict how certain players or groups would act, and by extension, what that means in terms of interests, motivations, and preferences.
These predictions can then be used to tailor and adapt the player’s experience with the most engaging content and interactions at the individual level. You could imagine having an AI system that puts together or even generates content and experiences that are tailored just for you.
It even opens the opportunity for you to leave behind imprints of yourself when you’re not signed into the Metaverse. Some video games already offer a version of this today – for instance Forza Motorsport has Drivatars: AI drivers that drive in your style, that your friends can race against if you’re not online to compete. Perhaps, in the future, we’ll have our own AI doubles or assistants filling in for us in the Metaverse, when we’re not around to play.
This idea is really an extension of character customisation, which has become a cornerstone of modern gaming. Epic Games understood early on how character customisation and avatar expression attracted players away from competing titles such as PlayerUnknown’s Battlegrounds. Licensing pop-culture avatars was key to keeping people within the Fortnite metaverse. Interest amongst players is always high because there’s a chance for them to wield a lightsaber one week then wear the infinity gauntlet as Thanos the next.
This level of avatar detail and customisation, and the ability for users to express themselves in new and exciting ways, will potentially be the cornerstone of any successful future metaverse project as players use this as a form of expression.
But as games continue to increase in scope and attract more players to log on, manually managing these virtual worlds becomes much less feasible – especially in the context of a metaverse. So you can quickly see where AI fits into the equation.
From generating digital environments, shaping more realistic AI character behaviours to automated bug finding, the potential applications for artificial intelligence will be near-limitless. With regards to the Metaverse, whatever final form it takes, I believe artificial intelligence will be vital in realising projects of this scale.
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Interviews
Crush Test for iGaming Projects: SOFTSWISS on Why High Load Performance Defines Operator Success
For iGaming operators, success depends not only on content and marketing but on their ability to stay online when it matters most. We spoke with a SOFTSWISS expert, Deputy CTO Denis Romanovski, to understand what’s really at stake during high load events, what mistakes others make, and what architectural decisions allow platforms like the SOFTSWISS Game Aggregator to consistently deliver 99.999% uptime – even at peak moments.
When a platform fails under high load, what are the main negative consequences for operators?The fallout hits three fronts at once. First of all, you lose revenue. Every failed bet is a direct GGR gone. In a one-minute outage during peak hours, you could lose tens of thousands of euros before you even spot the issue. Second, frustrated players flood the support team with refund claims and bad reviews. Most of them switch to your competitor. Getting those players back costs far more than keeping them happy in the first place. And third, in the scramble, tech teams try to spin up extra cloud capacity at premium rates or engage pricey third-party consultants. Those crisis-mode costs often hit the usual infrastructure budget for weeks afterwards.
So in short, downtime isn’t just an IT problem – it’s a full-blown business crisis that affects finance, marketing, and customer experience.
How does SOFTSWISS prevent those failures? Which patterns are most effective for operating without breaks?
Our resilience comes from layering proven patterns. We run Kubernetes in multiple regions – Europe, Latin America, and South Africa – so player connections go to the nearest point of presence. Databases replicate asynchronously, enabling instant failover if one zone degrades.
We develop containerised microservices, which means that some of our features and tools run in isolated pods. Rolling updates and canary deployments let us push fixes to a tiny slice of traffic first; if any metric goes beyond the threshold, Kubernetes automatically rolls back.
Static assets and game binaries are cached on regional Content Delivery Networks to reduce the load on central servers. Players receive data from the closest edge node with round-trip times of under 100 milliseconds, even on 3G connections. We also have an efficient system for DDoS Defence. Our stable partnership with Cloudflare provides multi-terabit scrubbing. Malicious traffic is cleanly filtered at the network edge, leaving genuine players uninterrupted.
But one more piece is just as crucial as technology: the team behind it. You can invest in the cutting-edge hardware and build the best architecture, but if engineers lack experience working under pressure, reaction times slow down, and players notice.
SOFTSWISS brings together experienced SREs, database experts, and network architects with deep knowledge of real-world stress situations. This means we don’t just detect issues quickly – we fix them before operators lose trust.
Together, these layers of design and expertise ensure that, no matter what stress tests occur, our platform consistently delivers on its 99.999% uptime promise.
From an operator’s standpoint, what scenarios trigger the greatest anxiety during traffic surges – flash promotions, major sporting events, or something else?
Operators worry most about the unknown spikes. Scheduled events are planned for, like a Champions League kickoff or a midnight bonus reset. But unexpected surges, for example, when a progressive jackpot hits 10 million euros or a social-media post goes viral, can triple traffic in hours, if not minutes. These are the moments when lobbies freeze and players see spinning wheels that never load.
The fear is not theoretical. I think every operator is familiar with this feeling when you see the queue at the support service filling up with complaints. Every frozen second undermines the player trust that operators spent months building. That’s why they need a reliable tech partner with proven protocols for handling traffic spikes and a track record of keeping the software running without downtime.
Can you walk us through a real “crash test” you’ve seen: what operators see on their dashboards when systems go down?
I can describe a typical scenario that happens in one form or another quite often. Let’s say it’s a Saturday free spins sale on a new slot, paired with double loyalty points. Traffic can jump from 5,000 to 15,000 concurrent users in ten minutes. On the dashboard, CPU usage rises above 90 per cent, Redis cache miss latency jumps from 5ms to over 50ms, and the error rate exceeds 5 per cent. Players see “502 Bad Gateway” errors or simply blank game tiles.
Behind the scenes, operators struggle to issue refunds, while marketing watches their promotional budget turn into failed KPIs. That kind of slippery slope, where one service slowdown affects another, can turn a simple spike into a full-scale outage.
Another case we had at SOFTSWISS involved a live stream event run by one of our operators. They hadn’t properly forecasted the traffic surge, and the load hit fast. We saw system strain building within minutes – API response times climbing, queues backing up. Our team had to act quickly to rebalance and optimise the infrastructure on the fly by adding resources and redistributing load.
Are there any general recommendations or lifehacks operators can use to ensure the stability of their platforms under high load?
Sure – stability is not just about servers and code; it starts with the way people work together and the processes they follow. Regardless of the platform, there are some crucial questions and data points operators should agree on with their provider’s technical account manager before any big launch.
First, operators need to track traffic dynamics closely – how many players arrive, how many register, and how many stay in play. They should share these forecasts with their provider and flag any risk of actual traffic far exceeding expectations.
The provider, in turn, will map its load models against planned promotions or events. That way, capacity gets reserved in advance instead of scrambling when reality outpaces the plan. At SOFTSWISS, for example, we continuously monitor load on our core components and build in redundancy to absorb traffic spikes.
Operators also need clarity on which SLAs guarantee that extra capacity or failover will be authorised the moment it’s needed. When seconds count, no one should be hunting for the required approvals.
Finally, a new brand or promo campaign must be introduced gradually. Operators can start with low-traffic markets or off-peak windows, verify performance in real‐world conditions, and only then ramp up traffic. This approach will let them avoid unpleasant surprises when the big day arrives.
Nevertheless, high-load incidents do occur. If this happens, blaming is the last thing to think about. However, the tech partner must provide a copy of its post-mortem playbook with root cause analysis, updated runbooks, and clear remediation steps.
Following these checkpoints, operators can trust their tech partner to handle any traffic surge. Potential failures that once threatened to crash the system become routine operations, no matter how intense the load.
The post Crush Test for iGaming Projects: SOFTSWISS on Why High Load Performance Defines Operator Success appeared first on European Gaming Industry News.
Baltics
HIPTHER Community Voices: Interview with the CEO and co-founder of Nordcurrent Victoria Trofimova
In this edition of HIPTHER Community Voices, we talk with Victoria Trofimova, the CEO and co-founder of Nordcurrent, the biggest game studio to come out of Lithuania and the Baltics. Since starting the company in 2002, Victoria has led Nordcurrent from a small team to an international gaming success story — all without external funding.
She shares how key decisions like focusing on mobile games, building a diverse team, and staying true to their creative vision helped shape Nordcurrent’s growth. We also dive into how she’s helping put the Baltics on the global gaming map, supporting young talent, and what advice she has for the next generation of women leaders in tech.
Nordcurrent has grown into a Baltic powerhouse since its founding in 2002. What were some of the pivotal moments that shaped the studio’s identity and success—especially as a bootstrapped company?
One key moment was our decision to focus fully on mobile gaming early on. That shift, around 2010, allowed us to scale globally with titles like Cooking Fever, which became a long-term success story. Another pivotal step was building and retaining in-house capabilities, from development to marketing, while staying self-funded. Being bootstrapped taught us discipline, resilience, and how to make bold yet thoughtful decisions without external pressure.
You’ve scaled a 360-person team across multiple countries. What have been the biggest challenges—and advantages—of growing Nordcurrent without external funding?
The biggest challenge has been growth pacing. We had to build sustainably, without shortcuts. But that’s also been our advantage; we’ve kept creative control, built long-term trust with our team, and stayed focused on profitability and product quality. It’s a different rhythm, one that favors deep thinking over hype.
Diversity in gaming is still lagging behind. What concrete steps has Nordcurrent taken to drive inclusion, and how do you embed this into studio culture, hiring, and leadership?
We don’t overcomplicate it, we hire the best people who want to build great games with us. We don’t separate or label by gender, background, or title. If someone brings talent, drive, and a collaborative mindset, they belong here. That approach has naturally led to a diverse team, including strong female leadership across departments. We focus on creating an environment where everyone is treated equally, trusted, and heard.
You’ve spoken about attracting global talent to Lithuania and the Baltics. What makes the region appealing—and what misconceptions do you often have to overcome when recruiting internationally?
The Baltics offer a great work-life balance, strong tech ecosystems, and a tight-knit creative scene. But we still need to overcome outdated perceptions; for example, that it’s cold, isolated, or lacking opportunity. The truth is, Vilnius and other cities here are dynamic and are increasingly being recognized for innovation.
In such a saturated gaming market, how does Nordcurrent approach innovation and stay relevant without falling into trend-chasing?
We listen deeply. To players, to data, and to our instincts. With over two decades of experience, we’ve built a rich internal library of what works, what lasts, and what connects. Innovation for us isn’t about reinventing the wheel every time. It’s about layering insight, emotion, and cultural nuance onto strong foundations. We don’t chase trends, we ask how a game fits into people’s lives. That’s why titles like Airplane Chefs resonate. They’re familiar yet fresh, culturally rich but globally accessible. Years of learning has given us the confidence to trust our gut and the clarity to know when to try something bold.
From mobile hits to console and PC publishing—how has your portfolio strategy evolved, and how do you decide what kinds of games to invest in today?
Our mobile success gave us the freedom to diversify. With Nordcurrent Labs, we now publish PC and console games that align with our values: original IP, strong storytelling, and long-tail potential. We look for teams with vision and grit, whether it’s cozy games or narrative-rich adventures.
You recently acquired River End Games and the Cinemaware catalog. What’s the strategic thinking behind those moves, and what can players expect from these legacy properties going Forward?
River End Games brings deep narrative talent and AAA craftsmanship, which complements our publishing ambitions. With Cinemaware, we’re reimagining classics for a new generation. These acquisitions aren’t about nostalgia only, they’re about unlocking untapped creative value in ways that feel both respectful and bold.
How are you helping to nurture the next generation of game developers in the Baltics, and what role do you think studios should play in education or early talent development?
We take this responsibility seriously. As the largest Lithuania-born game developer, we feel a strong duty to help grow the industry, not just our studio. We actively collaborate with the Lithuanian Game Developers Association, support local game jams, and organize major meetups that bring the community together. Our goal is to make the gaming industry more visible, more accessible, and more appealing, especially to young people who may not yet see it as a real career path.
It’s not just about hiring talent, it’s about helping to create it. We believe studios should take an active role in popularizing the industry, opening doors, and building a future where game development is seen as a creative and respected profession.
You’re leading a company that’s rooted in Eastern Europe but competing on a global stage. How do you balance local values with global ambitions?
We don’t see it as a conflict. Our roots give us authenticity and resilience, and these are qualities that resonate globally. We build games that are grounded in strong craft and cultural richness but are universally relatable. Staying true to who we are has been our best strategy for going global.
And finally—what advice would you give to aspiring women leaders in tech and gaming who want to break into this industry and rise through the ranks?
Own your voice. You don’t need to fit a mold to lead. Surround yourself with people who challenge and support you. And remember, leadership isn’t just about a title, it’s about taking responsibility, lifting others, and staying curious. Tech and gaming need your perspective, and there’s room for you at the table.
The post HIPTHER Community Voices: Interview with the CEO and co-founder of Nordcurrent Victoria Trofimova appeared first on European Gaming Industry News.
Fraud in the iGaming sector is no longer the work of lone opportunists. Today’s scammers operate in well-organized, tech-savvy networks – quietly exploiting systems that weren’t built to catch them. And as the digital economy grows, so too does the complexity of fraud schemes targeting gaming operators.
Amid this evolving threat landscape, Frogo has emerged as a company redefining how fraud prevention should work. We spoke with Volodymyr Todurov, CEO at Frogo, to get an inside look at how fraudsters are changing their tactics – and what operators can do to stay ahead.
Fraudsters evolve fast – how does your system stay one step ahead without overwhelming teams with false alarms?
Absolutely, the landscape of fraud is constantly shifting and staying ahead requires more than static rules. At Frogo, we’ve developed a dynamic system that adapts in real-time to user behavior and transaction contexts. Our platform learns from both fraudulent and legitimate activities, enabling it to distinguish between the two more effectively. This approach reduces false positives and ensures that our clients’ teams can focus on genuine threats without being bogged down by unnecessary alerts.
Can you walk us through a real-world case where your platform uncovered a fraud scheme traditional tools missed?
Absolutely. One notable case involved a large-scale bot attack targeting SMS-based fraud vectors. Initially, our standard device ID-based defenses helped neutralize the first wave of the attack. However, the adversaries quickly adapted, altering their emulation tactics to bypass traditional checks. At that point, conventional methods were no longer sufficient to detect the evolving fraud.
We responded by implementing a dynamic anomaly detection framework. This involved redefining detection signals in real-time using IP intelligence and deep device fingerprint attributes – areas where our proprietary data collection algorithms provided a significant edge. By anchoring detection logic to more granular and resilient signals, we were able to recalibrate thresholds dynamically, ensuring legitimate users weren’t impacted.
The results were decisive: bot attack efficiency dropped sharply from over 80% to just 3.5%.
What’s something about fraud detection that most businesses get wrong? And how does Frogo challenge that?
A common pitfall we see is operational rigidity – many businesses rely on static rules and general-purpose triggers that result in high false positive rates. This not only burdens anti-fraud teams with unnecessary manual reviews but also degrades the experience for legitimate users, especially loyal or VIP customers.
For example, it’s typical to see blanket rules like “manually verify all payouts over X euros.” While that may seem prudent, in reality it’s inefficient. It overlooks low-value, high-frequency fraud – such as bonus abuse – and disproportionately flags legitimate high-value players.
At Frogo, we take a different approach. Our system adapts rules dynamically based on customer behavior and segmentation. A trusted VIP user with a long-standing reputation shouldn’t be reviewed multiple times a day. But if a wave of new €5 accounts starts exhibiting bonus-hunting behavior, they should run immediate scrutiny – regardless of transaction size.
By aligning detection logic with behavioral context and player reputation, we reduce noise, increase fraud catch rates, and protect real users from unnecessary friction.
How does Frogo automate risk logic without sacrificing the flexibility businesses need to reflect their unique policies and traffic patterns?
At Frogo, we don’t see automation and customization as opposing forces – they operate in different dimensions. Our focus is on automating the customization of risk and scoring policies in a way that respects each client’s specific risk appetite and user behavior.
We achieve this through dynamic triggers. Rather than hardcoding arbitrary rules – like “five failed top-ups per minute equals fraud” – we apply adaptive scoring thresholds that align with real-world usage patterns.. For example, our system might detect that, for a certain payment method and user segment, more than 1.3 failed top-ups per minute is statistically anomalous – because it exceeds the 98th percentile of historical behavior.
But that same trigger adjusts automatically. If the next day a payment provider experiences a technical issue and normal users start retrying more often, the threshold might shift to 2.7. What was anomalous yesterday may no longer be today – and our system adapts accordingly to reflect evolving traffic patterns.
As a result: the clients retain full control over their risk strategy, while Frogo ensures their policies scale efficiently, adapt in real time, and minimize false positives – even in volatile traffic conditions.
Beyond detection – how does Frogo help companies investigate and understand fraud at a strategic level?
Detection is just the beginning. Frogo’s graph-based forensic tools and AI models provide a comprehensive view of the relationships between accounts, transactions and behaviors. This allows companies to identify patterns and vulnerabilities that might not be apparent through traditional analysis. Our analytics layer offers insights into trends and forecasts, enabling businesses to understand the broader context of fraudulent activities and make informed strategic decisions to mitigate future risks.
Fraud might be getting smarter, but so are the solutions built to fight it. Platforms like Frogo are helping operators move beyond reactive security measures and into a space of strategic, data-informed defense. In an industry where trust is everything, that shift might just be the difference between staying one step ahead – or falling behind.
Disclaimer: Frogo’s fraud prevention solutions are developed in full compliance with applicable data protection laws, including GDPR. All behavioural analysis is performed on anonymised or aggregated data, with full transparency and control provided to our clients.
The post Portrait of a Fraudster Then and Now: How Scammers’ Habits and Tactics Are Changing appeared first on European Gaming Industry News.
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