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NSoft story: Passion and motivation behind Virtual Penalty Shootout
Virtual Penalty Shootout celebrated its first birthday. Officially, the game was released on September 30, 2020, and instantly captured the attention of both – operators and players.
The expert community has also recognized the uniqueness and the beauty of the game by shortlisting it for the Global Gaming Award 2021 in the category Product Launch of the Year. Recently NSoft received seven nominations for the SBC Awards Latinoamerica 2021. Among others, we are shortlisted in the category Virtual Sports Supplier. The application for this award has leaned heavily on the Virtual Penalty Shootout game.
To celebrate all those milestones, we decided to tell a different story about Virtual Penalty Shootout game. We will not talk about the RNG, betting markets, how-to-play but let people who created the game say a word or two about passion, excitement and dedication.
By Amela Dedić and Biljana Haljevac, Senior 3D Artists/Animators
The team
Great teams and great ideas are all about people and the working atmosphere. We at NSoft’s former 3D Games Team, now 3D Creative Team were lucky to found each and we just can’t start this story without saying thank-you to former and current team members: Jasmin Ličina – Senior 3D artist/Team lead, Dragan Grbavac – Senior 3D artist, Dejan Boras – Senior Unity dev, Zlatko Vukšić – Senior Unity dev, Adnan Mujkić – Unity Dev, Dragan Rezo – Senior 3D Artist, Stojan Cvitković – Senior 3D Artist, Toni Matej Radoš – Senior 3D Artist. In this story, “we” are Biljana Haljevac – Senior 3D Animator and Amela Dedić – Senior 3D Animator. We are the one who will take you behind the scene of Virtual Penalty Shootout.
Our Team’s job is to develop Virtual betting games such as Virtual greyhound and horse races, Motorcycle Speedway, etc.
New Project – Virtual Penalty Shootout
The virtual penalty shootout was the most challenging project we’ve worked on. It allowed us to learn and try new things such as Motion capture. Our first job was to figure out the best way for our small team to make such a big virtual game. The biggest challenge was the animation process. We needed a large number of highly realistic animations, and the best solution for that problem was a Motion Capture system. Our choice was a company from Sweden named Rokoko and their WiFi motion capture suit – The Smartsuit Pro.
After we placed our order for the suit, the waiting time was used to go “back to school” and research making of other elements of the game such as character and venue design and creation, MoCap animation recording and cleanup, new software, and game rules. Our best friends were Pluralsight and LinkedIn Learning.
The Arrival- Smartsuit Pro is in the town
The arrival of the Smartsuit Pro was the most joyful occasion. Also, the day when our colleague Toni officially became the resident MoCap test talent.
Since our open office was not suited for a proper MoCap test, our first pick was local park. Awesome place, beautiful weather, but just one problem: electricity was really hard to find. A better-suited place was found for proper test and future motion capture sessions. The Local Futsal field had everything we needed.
MoCap Time!
Following initial tests, we felt confident enough to start official motion capture sessions. The first step was planning and creating MoCap sheets for each motion capture session.
Our motion capture crew was small but efficient: Toni Matej Radoš – Test talent & Talent Manager, Biljana Haljevac – Reference Cameras and Amela Dedić – Rokoko Studio, MoCap Sheet. And our Talents, real-life football players, who without this would not be possible: Fedja Kulenić (goalkeeper) and Ivan Arapović (player).
Since we have only one suit, Goalkeeper and Player animations were recorded separately. Because of that, we had to be very careful during the planning process so the respective animations could match. We were a bit worried about the Goalkeeper’s recording sessions, taking into consideration the nature of football goalkeeping movements. To make everything easier we relocated Goalkeeper’s MoCap sessions to the local Judo club with a soft tatami mat surface. We had 3 recording sessions and each was 3 hours long. That gave us 137 raw animations. We were aware that not every MoCap take will be successful or 100% accurate, we made sure that every take was also recorded with our reference cameras.
Animation Cleanup
The entire process of cleanup was done in Maya and Motionbuilder using the HumanIK system. Most of the work was root motion corrections, foot slides, and arms fixes. The final part of the cleanup was merging the animations of Player and Goalkeeper into one take and making sure that the timing fits perfectly for each take.
The ball movement was a mix of keyframed animation and Unity physics.
Visuals & Final Render
Cleanup done. Next: Dressing up. The entire time of animation cleanup our player and goalkeeper rigs were dressed in nothing but their birthday suit. That caused a lot of funny looks from our other coworkers. But fear not! Our 3D artist Dragan Rezo was on the task of dressing them up for their final render.
Visuals & Final Render
Cleanup done. Next: Dressing up. The entire time of animation cleanup our player and goalkeeper rigs were dressed in nothing but their birthday suit. That caused a lot of funny looks from our other coworkers. But fear not! Our 3D artist Dragan Rezo was on the task of dressing them up for their final render.
Every visual element of the game can be easily changed. Character appearance, jerseys, crowd, banners. All this can be altered according to the client’s requirements. We had a test client request just to see how much time would be needed for all the changes and rendering.
- Lions on background video banners
- Goalkeeper jersey with leopard pattern and panther head as front logo
- Penalty taker with a red jersey and white sun on blue background (Taiwanese flag) as a front logo. Number 88 on the back and name “Tigers” above it
- Additional but not requested, all resolve screens translated to mandarin
Final words
Almost nobody was injured during the making of the game. Our Goalkeeper had some bruises from the suit’s sensors, and we almost had a heart attack when our suit had a minor malfunction.
All jokes aside, our small team is very proud to have managed to complete such a large project, learn a bunch of new things in the process, and use Motion capture technology. It was an awesome experience from start to finish.
In the end, we would like you to take a look at our little video presentation of the Motion capture animation process.
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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.
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“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.”
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“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.
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.
The post SEON adds MCP server and new AI tools for fraud and AML teams Subheadline appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.
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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