AI
Kiss AI Live Casino: An AI-First Live Casino Infrastructure
Kiss AI Live Casino: An AI-First Live Casino Infrastructure , Kiss AI Live Casino is a fully AI-driven live casino system designed to replace traditional studio dependencies with fully configurable digital environments. The platform offers operators a flexible, scalable solution for delivering live casino experiences without the constraints of physical sets or fixed table layouts.
The product suite features a variety of live casino titles with AI-generated dealers, where artificial intelligence governs dealer behavior and interactions. Operators can define every aspect of the table presentation, allowing for a unique, brand-aligned experience.
Flexible Live Casino Setup
Each Kiss AI Live Casino table can be customized in multiple ways, including:
- Dealer appearance, ethnicity, and facial features
- Hairstyle and wardrobe styling
- Studio environment and background settings
- On-table branding and overall visual identity
The AI-powered dealers support 160+ languages, enabling full localization of both visual and spoken elements. These adjustments can be applied without changing the underlying table logic, allowing operators to deploy a single infrastructure across multiple brands, markets, and audience segments with minimal effort.
AI Engine. Human Approach.
Dealers are entirely generated and managed via AI, allowing for scalable deployment without the need for multiple studios. Visual environments are digitally constructed, and can be modified instantly, removing the need for production downtime or physical adjustments.
Kiss AI Live Casino operates as a live casino format where presentation and interactivity are defined at the system level, offering operators complete flexibility while maintaining the immersive experience of traditional live gaming.
The post Kiss AI Live Casino: An AI-First Live Casino Infrastructure appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.
TAG Media and Gamblitude have launched affie.ai, a guided decision-making engine designed for iGaming affiliate managers. The companies said the product will make its debut at SBC Summit Malta, running 28–30 April.
At the event, affie.ai’s Elaine Gardiner, Alana Weldon and Wojtek Sznapka will demonstrate the platform to operators interested in becoming one of five launch partners. The companies said they are offering a “No Strings Attached” six-week trial to five operators.
affie.ai is positioned as a decision layer rather than an affiliate tracking platform or dashboard. TAG Media said the product is built on strategic frameworks the company has used across “50+ programme launches” over the past decade, while Gamblitude provides the data and analytics layer. Gamblitude was founded by former STS chief technology officer Wojtek Sznapka and former STS chief sportsbook officer Piotr Cerlak.
The companies said affie.ai provides data-informed recommendations covering deal structures, partner performance, programme optimisation and commercial risk insights, with the goal of reducing time spent on reporting and spreadsheet-based analysis.
Elaine Gardiner, Co-Founder of affie.ai says: “After 17 years managing affiliate programmes for operators including Cherry Casino, Ninja Casino and Rizk, I know what good decision-making looks like in this role and I know how rarely it’s supported by the right tools. affie.ai takes the strategic thinking our team applies every day and makes it available on demand and at pace: specific to your programme, specific to your data and ready when the affiliate manager needs it.”
The post TAG Media and Gamblitude launch affiliate tool affie.ai appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.
Integration links Golden Whale’s decision models with Text.com’s chat, email and SMS channels to automate agent-driven interactions.
Golden Whale has partnered with Text.com to integrate decision intelligence with real-time, multi-channel player communication for iGaming operators.
The companies said the collaboration combines Golden Whale’s continuously learning decision models with Text.com’s unified communications infrastructure, aiming to help operators move from campaign-based messaging to dynamic, agent-driven interactions.
Golden Whale said its Full Model Control framework analyses live player behavioural data in real time to inform decisions across engagement and incentives. Through the integration, those decisions can be translated into AI-powered conversations delivered across live chat, messaging apps, email and SMS.
Eberhard Dürrschmid, CEO at Golden Whale, said: “There has traditionally been a gap between knowing what action to take and delivering it to the player in the right way and at the right moment. By working with Text.com, we are closing that gap. Our ML models determine the most relevant next action, and through Text.com’s agentic communication capabilities, that action can be executed instantly and intelligently across the appropriate channel. This allows operators to move toward more responsive, data-driven engagement without increasing operational complexity.”
Emilia Wodyk‑Zalewska, Account Managers Leader at Text, added: “This is just the start of our journey with Golden Whale, and we are thrilled about the future. By merging behavioural data with our platform, we will turn simple messages into smart, automated conversations. Soon, operators will deliver the right interaction at the perfect time – effortlessly and at any scale.”
The post Golden Whale partners with Text.com on real-time, multi-channel player messaging appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.
Enhancement provides sportsbooks with fully proprietary, model‑driven WNBA player prop pricing through the OpticOdds API
OpticOdds, the premier provider of real-time sports betting data feeds and trading solutions, has enhanced its WNBA offering through its ongoing partnership with The Crowd’s Line AI (TCL AI), bringing a real-time AI‑driven player prop pricing solution via the OpticOdds API.
The solution provides WNBA player prop lines built entirely from TCL AI’s in‑house models, with no market averaging or consensus dependency. The independent pricing creates a unique signal that allows sportsbooks to offer differentiated WNBA markets.
Each player prop is delivered with full probability distributions and confidence‑adjusted vig, enabling operators to better manage risk, steer action toward higher‑confidence markets, and price alternate lines with greater precision.
The platform combines TCL AI’s machine‑learning engine with OpticOdds’ API and trading infrastructure. Through the integration, clients can access fair value prices, identify mispriced lines and deploy WNBA player props with minimal operational effort.
The update reflects the continued expansion of the WNBA betting market, as growing fan interest and standout player narratives drive increased demand for deeper, more sophisticated wagering markets ahead of the start of the new season.
The enhanced WNBA pricing model builds on OpticOdds’ existing ecosystem, further strengthening its AI-driven pricing capabilities.
Ryan Weinstock, Vice President at OpticOdds, said: “Working with The Crowd’s Line AI to deliver model‑driven WNBA pricing through our API reinforces OpticOdds’ focus on bringing advanced, market‑grade intelligence to developing sports betting markets.
“This enhancement allows us to scale a truly differentiated offering, using our infrastructure to help sportsbooks deploy high‑quality WNBA player prop markets quickly and efficiently.”
Anthony Lage, CEO at The Crowd’s Line, added: “Our continued collaboration with OpticOdds enables us to deliver differentiated WNBA player prop pricing at scale, empowering sportsbooks to attract new users and improve margins with minimal operational lift.
“OpticOdds makes integration seamless, allowing clients to move quickly and confidently in one of the fastest‑growing sports betting markets.”
The post OpticOdds enhances WNBA player props with The Crowd’s Line AI appeared first on Americas iGaming & Sports Betting News.
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