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METANOMIC LAUNCHES ‘THUNDERSTRUCK’ – 1st gamer analysis tool powered by AI
Metanomic, the complete game economy and player analytics company, today proudly announces the global launch of its Thunderstruck player analytics platform; which is poised to revolutionise game developers’ use of behavioural data to improve retention and monetisation.
Thunderstruck is the first ever video game analytics platform to leverage AI-powered behavioural analytics. It makes use of Bayesian inference-backed AI to understand data from real in-game events, drawn directly from game servers. Thunderstruck analyses player motivations, play styles, and reward preferences, providing developers with live information on who their game is for, what types of players have the highest retention, and which players spend the most in-game. Until now, game creators have had to rely on outdated player classification models combined with market research, and plug gaps in insight with assumptions and guesswork.
Metanomic was founded in 2021 by veteran game designers, AI experts, and professional economists, and has successfully secured USD $2.9 million pre-seed funding to-date. Thunderstruck is launching with 7 player types – Killers, Achievers, Explorers, Socialisers, Speedsters, Conquerors, and Scientists – which can be tailored to the priorities of individual game titles. Player types will be refined and added to as the platform analyses data from more titles, while its Bayesian AI means Thunderstruck can even identify the series of events that lead to specific player actions.
Announcing the launch of Thunderstruck, Theo Priestley, CEO and Founder of Metanomic, said:
“For too long, game developers have relied on blunt instruments to understand their players. It’s no exaggeration to say that the bulk of the games industry’s framework for player classification dates back to a 1996 essay by Richard Bartle. A generation later, Thunderstruck is the next big leap forward, taking just a few days to generate more insight than a team of analysts could in a month. We understand that players can straddle multiple personas or even change persona based on their motivations, and use custom AI and live data to accurately anticipate how they’ll respond to metagame changes. Thunderstruck is all about empowering game developers with a better way to identify, acquire, and impact the right players for their game.”
Thunderstruck is equally suitable for mobile, console, and PC; existing as well as new games; and web3 as well as traditional web2 games. It works in tandem with Metanomic’s free Economy Engine platform, which was launched earlier this year to help studios to build, simulate and monitor their game economies.
Thunderstruck is launching with 7 player types.
|
Killers
These players enjoy killing, creating chaos, and competitive elements most of all. They focus on winning, climbing player rankings, obtaining status, provoking, and imposing drama onto others. |
Achievers
These players are competitive and enjoy overcoming difficult objectives, whether set by the game or themselves, in order to obtain prestige, prizes, and other types of material possessions. |
Explorers
Those that like to learn as much about the game as possible, Explorers seek to understand the finer details of game mechanics. The thrill of discovery and uncovering hidden areas or objectives motivate these players over points or prizes. |
Socialisers
Players that experience fun in interacting with other players through social systems like using chat, managing guilds, or role-playing rather than playing the game itself. They tend to collaborate or join forces with others to achieve objectives than they could on their own. |
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Speedsters
Cheetahs race to objectives in order to be among the first to reach the end-game content or the highest level. They spend most of their time grinding experience and playing for long hours. |
Conquerors Conquerors enjoy the struggle against adversity and beating impossibly difficult odds. They are persistent, forceful, and repetitive in their pursuit to overcome their objectives. |
Scientists
Commonly referred to as ‘Crafters,’ Scientists seek to improve their skills by gathering resources and creating or improving items for themselves and to sell to others. They find enjoyment in more passive forms of game mechanics and objectives. |
The Thunderstruck player personas are also influenced by ‘passion’ – how often and how well they play. They can also be tailored by the game developer or publisher depending on their priorities. For example, in different types of game, ‘Achiever’ could mean the highest skilled, the richest, or the players with the most wins. In future, Metanomic will frequently add additional and more granular player types to further studios’ understanding of their players. |
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Canada
XSOLLA STRENGTHENS COMMITMENT TO ATLANTIC CANADA’S GROWING GAME INDUSTRY WITH EXPANDED EVENT PRESENCE
Global Video Game Commerce Company To Support Industry Growth Through Panels, Workshops, And Community Engagement Across Atlantic Canada
Xsolla, a leading global video game commerce company, today announced its participation in two major gaming industry events taking place across Atlantic Canada from June 3-5, 2026, reinforcing the company’s commitment to supporting regional game development ecosystems and fostering industry collaboration.
Xsolla will participate in both Game Invest East and XP Game Connect Atlantic, joining developers, publishers, investors, and industry leaders for discussions centered on the future of game development, investment, and innovation in the local area.
At Game Invest East, held in partnership with Scaffold, Xsolla will contribute to conversations around funding, growth opportunities, and the evolving business landscape for game studios.
Featured on the panel titled “If You Can Make It Here,” Xsolla’s Manny Hachey, Senior Director of Developer Success, joins Kate Edwards, CEO and Principal Consultant of Geogrify, and Amir Satvat, Business Development Director at Tencent Games, founder of Always Supporting the Games Community (ASGC), and a 2026 GamesBeat Visionary Award honoree, to explore how new regions and new entrants can survive and thrive in disruptive times.
Hachey, a native of Atlantic Canada, was personally requested by Scaffold to represent Xsolla at the event — a homecoming that adds a personal dimension to the panel’s central thesis. Having built her career and made her mark in Germany’s games industry, she returns with a firsthand perspective on what it takes to leave, build something meaningful abroad, and come back with proof of concept.
Xsolla will continue its Atlantic Canada engagement at XP Game Connect Atlantic in Halifax on June 5. John Nguyen, Regional Vice President, Canada at Xsolla, and Ted DiNola, Developer Evangelist at Xsolla, will host a workshop titled ‘Full Picture to Fast Lane: Xsolla Ecosystem Overview & Live SDK 3 Integration’, providing practical insights and actionable strategies for developers navigating today’s rapidly evolving gaming market.
Nguyen will also host a panel titled, ‘What Does the Future of Game Development Look Like in Atlantic Canada?’ where he will be joined by industry experts, including Ryan Filsinger from Iron Fox; Shawn Woods, CEO at Alpha Dog and VP of Interactive Society of Nova Scotia; George Greer, Founder of Besszong; and Jade Yhap, President of Interactive NB. The panel will explore the region’s growing role in the global games industry and the opportunities ahead for studios, talent, and ecosystem partners.
“Atlantic Canada continues to emerge as an exciting hub for game development talent and innovation,” said John Nguyen, Regional Vice President, Canada, at Xsolla. “Xsolla is proud to support these events and contribute to conversations that help empower developers, build ecosystems, strengthen industry connections, and accelerate growth across the region.”
“Events like Game Invest East and XP Game Connect Atlantic are critical for building stronger connections across the games industry,” said Berkley Egenes, Chief Marketing & Growth Officer at Xsolla. “Atlantic Canada has a growing community of talented developers, creators, and industry leaders, and we’re excited to be part of conversations that help to shape the future of gaming in the region while supporting studios at every stage of growth.”
Through its participation in these events, Xsolla aims to deepen relationships within the Atlantic Canadian game development community while supporting knowledge-sharing, collaboration, and long-term ecosystem growth.
For more information about Xsolla’s participation in these events across Atlantic Canada, visit: xsolla.pro/Atlantic-Canada
The post XSOLLA STRENGTHENS COMMITMENT TO ATLANTIC CANADA’S GROWING GAME INDUSTRY WITH EXPANDED EVENT PRESENCE appeared first on Americas iGaming & Sports Betting News.
ai-tools
SEON adds MCP server and new AI tools for fraud and AML teams Subheadline
Updates include Network Detection, AI Chart Builder and an AI Playbook, with integrations for third-party AI tools via the MCP standard.
SEON has rolled out new AI capabilities for its fraud prevention and AML compliance platform, including a Model Context Protocol (MCP) server designed to connect SEON data to external AI tools. The company said the MCP server, Network Detection, AI Chart Builder and an AI Playbook for Risk and Compliance Teams are available now to SEON customers.
The MCP server is positioned as a way for analysts to use third-party AI tools while pulling investigation context from SEON. SEON said analysts can connect tools including Claude, ChatGPT, Gemini and Microsoft Copilot to “900+ real-time risk signals spanning identity, device, behavioral, AML and IP data,” with signals accessible “in a single call” via the open MCP standard.
“The software world is moving toward a headless model, where teams don’t need to live inside a vendor’s dashboard to get full control over data and functionality,” said Tamas Kadar, CEO and Co-Founder, SEON. “Our job is to be the best command center for fraud, risk and compliance intelligence. We’re giving analysts the freedom to use whichever AI tools work best for them.”
SEON also introduced Network Detection and AI Chart Builder inside its platform. Network Detection builds on SEON’s network analysis features released last year, and “continuously scans the last two months of transactions across devices, emails, phone numbers and IP addresses” to surface suspicious clusters. AI Chart Builder generates data visualizations from natural-language questions using live SEON data, targeting reporting and dashboarding needs typically handled through BI teams or spreadsheet exports.
Customer TurboTenant said it is already using the MCP approach in production workflows. “The SEON MCP integration has fundamentally changed how our risk analysts operate,” said Eric Taylor, Manager of Trust and Safety, TurboTenant. “Before, they had to manually pull data across multiple systems to piece together what happened. Now, we pull a user’s entire platform journey and all of SEON’s risk signal context directly into Claude, and AI connects the dots on complex fraud patterns without us doing that assembly. It’s opened up OSINT capabilities that wouldn’t have been possible before.”
To support adoption, SEON said it is shipping an AI Playbook for Risk and Compliance Teams alongside the releases, including “pre-built agentic skills” such as a fraud analyst daily briefing and a decline spot-check, compatible with the MCP server. “SEON opening its data layer to any AI we want to use is exactly the kind of architectural decision that fits where the market is going,” said Mostafa Hassanin, CISO, SMG Marketplace.
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Artificial intelligence
SEON Expands AI Capabilities Inside the Platform and Through Any External AI Tool
New MCP server, Network Detection, AI Chart Builder and AI Playbook give fraud and AML teams more ways to put AI to work
SEON, the AI Command Center for Fraud Prevention and AML Compliance, has built a platform where flexibility is an accent of its architecture. With SEON, customers can ingest any custom field or data type, build any rule or alert they need, and investigate in system driven workflows that represent the way their team operates. Most importantly, they can choose a rules-based policy, one driven by AI or a hybrid decisioning model that leverages both. SEON has the capabilities to meet teams how and where they actually operate.
Today, the company extends that same flexibility to the use of AI in the fight against fraud and financial crimes. A Model Context Protocol (MCP) server opens SEON’s data layer to whichever AI tool a team prefers. Two additional capabilities, Network Detection and AI Chart Builder, connect SEON’s existing capabilities in automation and business intelligence. To support adoption, an AI Playbook for Risk and Compliance Teams ships alongside them, giving customers a practical starting point for putting their MCP connection to work quickly.
Access to AI Has Outpaced Access to Risk Data
For most fraud and AML teams, AI is accessible but still hard to put to real work. Analysts have ChatGPT, Claude or Gemini at their fingertips. What they don’t have is a clean way to get their investigation data into those environments. Instead, they manually paste in transaction records, customer profiles and risk signals, losing context at every step and creating security risks for their organization. According to the 2026 Fraud and AML Leaders Report, 98% of fraud and AML leaders are already using AI in their workflows. The tools are there. The data pipeline is not.
An Open Foundation for Any AI Tool
SEON’s MCP server addresses that gap. Analysts can link Claude, ChatGPT, Gemini, Microsoft Copilot or any custom agent to SEON’s 900+ real-time risk signals spanning identity, device, behavioral, AML and IP data. All signals are accessible in a single call, so the AI spends its token budget and processing time on analysis rather than pulling data from multiple systems. Because the integration uses the open MCP standard, customers are free to use whatever works best today and switch to a stronger option tomorrow without rebuilding anything.
“The software world is moving toward a headless model, where teams don’t need to live inside a vendor’s dashboard to get full control over data and functionality,” said Tamas Kadar, CEO and Co-Founder, SEON. “Our job is to be the best command center for fraud, risk and compliance intelligence. We’re giving analysts the freedom to use whichever AI tools work best for them.”
“The SEON MCP integration has fundamentally changed how our risk analysts operate,” said Eric Taylor, Manager of Trust and Safety, TurboTenant. “Before, they had to manually pull data across multiple systems to piece together what happened. Now, we pull a user’s entire platform journey and all of SEON’s risk signal context directly into Claude, and AI connects the dots on complex fraud patterns without us doing that assembly. It’s opened up OSINT capabilities that wouldn’t have been possible before.”
Meeting Teams Where They Are
Some customers are ready to run their entire risk operation through an agentic platform. Others want AI working inside the SEON interface they already use. Most are somewhere in between. SEON supports all team preferences, whether they work inside the platform or outside it.
Network Detection builds on the network analysis SEON released last year, including Similarity ranking and the Network graph. It continuously scans the last two months of transactions across devices, emails, phone numbers and IP addresses to identify clusters that are only suspicious when viewed together. Coordinated fraud rings and money laundering networks now surface before an analyst opens an alert.
AI Chart Builder turns natural-language questions about your business into instant data visualizations. Analysts no longer wait on business intelligence teams for dashboard projects or are forced to rebuild reports from spreadsheet exports. They ask a question and the chart appears, built on live SEON data.
These join an AI portfolio SEON has shipped over the past year. Existing capabilities include AI-assisted rule creation, scoring insights, AML screening analysis, automated case summaries and regulatory report generation.
“The next generation of fraud and KYC challenges won’t look like the last one. AI agents will interact with our marketplaces as customers, and AI agents will be used to impersonate and exploit our customers as well. Our team needs an intelligence foundation that’s ready for both,” said Mostafa Hassanin, CISO, SMG Marketplace. “SEON opening its data layer to any AI we want to use is exactly the kind of architectural decision that fits where the market is going.”
A Fast-Start Kit for Teams Ready to Build
To help teams get started quickly, SEON is also releasing an AI Playbook for Risk and Compliance Teams. The playbook is a practical guide to connecting AI tools to SEON and building investigation workflows that match how analyst teams actually operate. It ships with pre-built agentic skills, including a fraud analyst daily briefing and a decline spot-check, both compatible with SEON’s MCP server and ready to deploy on day one.
The MCP server, Network Detection, AI Chart Builder and AI Playbook are available now to SEON customers.
The post SEON Expands AI Capabilities Inside the Platform and Through Any External AI Tool appeared first on Americas iGaming & Sports Betting News.
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