As TechXperience Stage Sponsor of HIPTHER Baltics: Riga 2026, Kanggiten brings its performance-focused platform and operational expertise to the heart of the event’s technology discussions. We spoke with Ivan Korkin, Head of Account Management at Kanggiten, about translating B2C experience into scalable B2B solutions and driving measurable growth in today’s iGaming landscape.

How would you position Kanggiten today, and what core value does your platform deliver to partners?

– Kanggiten today is a modular iGaming platform built specifically for teams that operate on the B2C side. The core idea behind the product is simple: we take over 10 years of real operational experience and translate it into technology that helps partners turn traffic into measurable revenue.

From a technical perspective, the platform combines all key elements: casino and sportsbook engines, aggregation, payments, analytics, CRM, and affiliate management – within a single ecosystem. This allows operators to manage the entire lifecycle without fragmentation.

Another important aspect is adaptability. The platform is designed to support multi-geo operations, including local payment methods, currencies, and compliance requirements, which is critical for performance in different markets.

In terms of collaboration, we provide flexible models – from white label setups for fast market entry within a few weeks, to more customized turnkey solutions depending on the scale and maturity of the project.

What are your next steps for scaling the business and strengthening Kanggiten’s market position?

– Our current focus is split between product evolution and business expansion.

On the product side, we are actively developing new capabilities, including predictive tools that will help marketing teams make more informed decisions based on data patterns inside the platform.

At the same time, we are scaling commercially. We’re onboarding new clients, launching additional brands, and expanding into new markets. 2026 is already showing strong momentum, especially as our visibility in the market has increased and inbound demand continues to grow.

So in practical terms, our priorities are clear: expand geographically, grow the number of active brands on the platform, and continue investing in product development.

How has your experience with end users shaped your B2B approach, and how is this reflected in your product and results? Could you share an example?

– Our B2C background fundamentally defines how we approach product development. We don’t build features based on assumptions – everything is tested and validated through real user behavior.

There are several areas where this is especially visible.

First is retention. Today, sustainable growth is driven more by retention than by acquisition. That’s why we focus heavily on onboarding flows, CRM logic, bonus structures, and reactivation strategies. Retention is not a standalone tool – it’s a system built on continuous testing and data analysis.

Second is segmentation. Personalization only works when it’s built on meaningful segmentation. We test different traffic groups, analyze behavioral patterns, and create tailored scenarios for each segment. This directly impacts monetization efficiency.

Third is the use of AI. At this stage, AI is no longer experimental – it’s embedded into operations. We apply it in fraud prevention, KYC, content generation, and support automation to improve both efficiency and decision-making.

And finally, distribution channels. We work across a wide range of touchpoints, which allows operators to engage users in different environments and adapt quickly when market conditions change.

If we look at a practical example, GEO-specific behavior plays a critical role. In Turkey, even small UI details like how percentage values are displayed can influence conversion.

In LATAM, on the other hand, fraud patterns are more prominent, so we implement additional AI-driven verification layers. These insights are transferable  once validated in one market, they can be applied in others with similar characteristics.

What challenges do operators and affiliates most often face after working with other platforms, where do they typically lose revenue or users, and how do you address these issues?

– In most cases, the issues are not unique – they repeat across different operators and platforms.

One of the main gaps is conversion management. Many platforms generate traffic but lack the tools to properly analyze and optimize the funnel. Without clear visibility into user behavior, improving conversion becomes difficult.

Another area is engagement. Gamification is often either too basic or requires additional development. In practice, it should be a core part of the platform, not an add-on, because it directly impacts retention and revenue.

Scalability is also a frequent issue. Platforms may perform well at a smaller scale but struggle under higher load. Without real operational experience, these limitations often appear too late. Our approach combines stable infrastructure with continuous adaptation, allowing us to maintain performance under growth.

Retention is another critical point. It doesn’t happen automatically – it needs to be engineered through segmentation, personalized communication, and ongoing experimentation. This is where our B2C experience plays a key role.

If we break it down further, operators typically lose performance in four areas:

conversion inefficiencies, lack of GEO adaptation, technical limitations, and slow time-to-market.

We address these by building the platform as a flexible system that evolves continuously rather than a static product.

What factors have the greatest impact on growth and conversion today, and how do you see these evolving in 2026–2027?

– One of the main drivers will be hyper-personalization. Platforms will increasingly adapt in real time to individual user behavior, shaping unique experiences for each session.

At the same time, market expansion will continue to fuel growth. New regions and emerging markets will open additional opportunities for operators, along with new approaches to acquisition and engagement.

Another major shift will come from automation. Operational processes will become increasingly automated, reducing manual workload and improving efficiency.

This will be driven not only by AI in general, but by more advanced, agent-based systems that can handle tasks such as content generation, customer interaction, and fraud detection with minimal human involvement.

Overall, the direction is clear: more data-driven decision-making, more automation, and more adaptive user experiences.

The post Kanggiten: From B2C Insight to B2B Performance in iGaming appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.

In the fast-paced environment of digital businesses, communication isn’t just a utility – it’s the heartbeat of the business. Whether it’s a high-stakes trade confirmation or a time-sensitive user’s notification, a lost message is often a direct precursor to lost revenue. Today, we sat down with Bohdan Bulatsan, CTO at CommsHub to discuss why the industry is shifting away from traditional messaging setups toward a more resilient, “strategic redundancy” approach. We explore how CommsHub is redefining delivery standards through intelligent routing and financial transparency.

In the high-stakes world of digital businesses, we often talk about “guaranteed delivery,” but the reality of infrastructure is that things break. From a technical leadership perspective, why is the “Single Vendor” model becoming a terminal risk for modern enterprises?

That’s right. No technical system is infallible. Downtime and glitches are inherent to infrastructure; the real differentiator is how you manage those failures to protect the business. Relying on a single vendor creates a “Single Point of Failure.” If that one provider goes down, your entire operation grinds to a halt.

At CommsHub, we address this by implementing a sophisticated provider cascading system. This architecture ensures that if one path is blocked, the traffic finds another. By eliminating the reliance on a single provider, we transform communication from a financial gamble on uptime into a stable, predictable business process.

CommsHub moves the conversation from “sending messages” to “strategic redundancy.” Can you walk us through the logic of your automated routing – how does the platform decide which path a message takes in milliseconds to ensure the highest delivery rate?

Our cascading logic functions as an intelligent safety net. When our system detects a failure signal from a provider, it triggers a reaction in milliseconds. The mechanism immediately consults a predefined routing roadmap and reroutes the message through the next optimal path in the chain.

Crucially, we allow clients to configure response wait times in both static and dynamic modes. This is a game-changer for businesses where speed is as vital as the delivery itself. Ultimately, our system is built for flexibility; we don’t just send messages – we architect a logic that supports virtually any messaging scenario a business requires.

Integration speed is often a bottleneck; you’ve managed to cut the industry standard from 45 days down to just 10. How does this technical agility impact a brand’s ability to scale into new, unpredictable international markets?

In the modern economy, standing still is the same as moving backward. Our clients are constantly expanding into new geographic territories and they need a partner that moves at their speed. By shrinking integration time to around 10 days, we allow businesses to respond to market opportunities almost instantly.

Our priority is the continuous onboarding of validated providers. This doesn’t just give our clients access to new GEOs; it gives them the power of choice within their existing markets, ensuring they always have the most competitive and reliable options available.

We’ve seen that “lost messages” translate directly to “lost revenue.” How does CommsHub’s unified dashboard bridge the gap between technical delivery logs and the financial transparency that C-level executives need?

Data is only useful if it’s actionable. C-level executives need to see the “why” behind the spend. The CommsHub analytics module is divided into two pillars: Performance and Finance.

The Performance section allows teams to monitor delivery rates and message statuses by country in real-time. Meanwhile, the Financial section provides total visibility into spending, broken down by provider and region. This bridge between technical performance and cost-efficiency allows Finance and Marketing departments to make data-driven decisions rather than educated guesses.

Looking at the mission of CommsHub – to make communication “simple, clear and predictable” what is the one technical myth about bulk messaging you want to debunk for businesses currently struggling with delivery stability?

The most dangerous myth is the belief that finding one “perfect” or “premium” provider is enough. The reality is that no provider – regardless of their size – is immune to regional outages, regulatory shifts or sudden performance drops.

If you want stability, stop looking for the perfect provider and start building a resilient strategy. True reliability comes from intelligent routing, multi-vendor redundancy and the ability to adapt to changing conditions in real-time. That is the mission we fulfill at CommsHub.

As we’ve discussed, the transition from a single-vendor dependency to a diversified, intelligent routing system is no longer a luxury – it is a necessity for survival in high-growth sectors. CommsHub continues to lead this charge, proving that when technical agility meets financial transparency, businesses can scale without the fear of silence. For those looking to turn their communication infrastructure into a competitive advantage, the path forward is clear: prioritize resilience over the illusion of a “perfect” single source.

The post Reliability in Motion: Why Modern Digital Businesses are Abandoning the Single-Vendor Model appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.

As the Lanyard Sponsor of HIPTHER Baltics: Vilnius 2026, DSTGAMING brings more than a decade of iGaming technology expertise to the Baltic stage. Known for white-label and turnkey casino solutions, advanced game aggregation, secure payment gateways, and GLI-19 compliant platforms certified by BMM Testlabs, DSTGAMING represents the next generation of scalable and regulation-ready gaming infrastructure.

Ahead of the conference, we speak with John Tan, Digital Marketing Analyst at DSTGAMING, about one of the most important topics shaping regulated industries today: The role of AI and automation in regulatory processes.

Regulation is becoming faster, stricter, and more data-heavy. Where do you see AI making the biggest immediate impact in regulatory and compliance workflows?

AI is already proving valuable in areas where large volumes of operational data must be processed quickly and accurately. One of the most immediate impacts is in automated data validation, reporting preparation, and anomaly detection. Regulatory workflows often involve reviewing player activity logs, financial transactions, and system records, which can be time-consuming when handled manually.

For platform providers like DSTGAMING, AI can assist operators by flagging irregular patterns, organizing compliance-related records, and improving the speed and consistency of reporting processes. This reduces the burden on compliance teams while helping ensure that submissions to regulators are more accurate and timely. The ability to turn raw operational data into structured insights is where AI delivers strong short-term value.

Many businesses still view compliance as reactive and manual. How can automation transform it into a smarter, proactive function?

Automation shifts compliance from a task-driven activity into a continuous monitoring function. Instead of waiting for scheduled checks or audits, automated systems can monitor key indicators in real time and notify operators when thresholds are exceeded or unusual activity is detected.

This proactive approach allows operators to address potential risks before they escalate into compliance issues. Over time, automation also creates consistent records and audit trails, making regulatory reporting more structured and transparent. From a platform perspective, embedding automation into workflows ensures that compliance checks become part of daily operations rather than a separate responsibility handled only during audits or investigations.

From AML monitoring to player protection and fraud detection, which regulatory areas are best suited for AI-driven decision support today?

Fraud detection and transaction monitoring are among the most mature use cases for AI-driven support, as they rely heavily on identifying patterns across large datasets. AI models are particularly effective at detecting irregular transaction behaviors, unusual login patterns, or activity sequences that differ from typical user behavior.

Player protection is another area where AI can add value by identifying behavioral signals that may indicate risk, such as sudden changes in activity intensity or spending patterns. While AML monitoring also benefits from AI, the most practical applications today involve supporting human analysts by highlighting suspicious cases rather than replacing manual decision-making entirely. The strength of AI lies in prioritizing risk signals so compliance teams can focus their attention where it matters most.

How can operators balance efficiency through automation while still maintaining human oversight, judgment, and accountability?

Automation should be viewed as a decision-support layer rather than a decision-maker. The most effective balance is achieved when automated systems handle repetitive tasks—such as monitoring, logging, and flagging—while human teams retain authority over final decisions and interpretations.

Clear governance frameworks are also essential. Operators should establish defined escalation paths, validation checkpoints, and audit procedures to ensure that automated outputs are reviewed when necessary. This hybrid approach preserves accountability while still benefiting from improved speed and efficiency. Human judgment remains critical, particularly in complex cases that require contextual understanding or regulatory interpretation.

What are the biggest mistakes companies make when trying to introduce AI into regulated environments?

One of the most common mistakes is adopting AI without clearly defining its role within regulatory workflows. Without structured objectives and validation processes, organizations risk creating systems that generate outputs without meaningful oversight or traceability.

Another challenge is underestimating the importance of data quality. AI systems depend heavily on reliable, well-organized datasets, and inconsistent data can lead to inaccurate outputs. Companies also sometimes move too quickly without aligning AI deployment with regulatory expectations, which can create compliance risks instead of reducing them. Introducing AI gradually, with clear documentation and validation processes, helps ensure responsible adoption.

As a technology provider, how does DSTGAMING approach building solutions that are both innovative and regulator-ready from day one?

DSTGAMING prioritizes architecture that supports transparency, scalability, and operational clarity. From the early stages of development, systems are designed to maintain structured logs, clear data flows, and configurable reporting capabilities that help operators meet regulatory expectations across different jurisdictions.

Innovation is approached with practicality in mind. New technologies, including AI-driven features, are integrated in ways that enhance performance and usability without compromising system reliability. The focus is on delivering tools that support operators in maintaining operational discipline, while also enabling flexibility to adapt to evolving regulatory standards.

By aligning technical development with industry compliance requirements from the outset, DSTGAMING ensures that innovation and regulatory readiness progress together rather than in conflict.

The post AI Meets Accountability: DSTGAMING on the Future of Regulatory Automation appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.