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Exclusive Q&A with Jeton Kodia Co-Founder at Oddspedia

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Let’s start with a few words about yourself. Our readers love top executives talking about themselves.

My name is Jeton Kodia and I have been in the gambling business since 2009. I became an iGaming affiliate when I turned my hobby into my profession. Gambling is part of my life – I love betting, casino games, and poker. Additionally, with my first name Jeton, it was somehow destiny that I had to step into this industry. I am addicted to football, and I had to lose quite some bets on my favorite team until I learned that when you want to take betting seriously, you need to refrain from your emotional attachment to a particular team and turn your attention more to comparing the odds. Besides football and pro sports in general, I bet on pretty much anything with my friends. This ranges from prop bets about winning at Playstation games to whether my first child will be a boy or girl. There is always something going on in my life which we can bet on.

Now on to Oddspedia. What led to the founding of Oddspedia?

As I already hinted at before, I wanted to focus more on the odds at sports betting. Therefore, I teamed up with Jan, whom I know since we were 18 years old, and who is equally passionate for sports in general and football in particular. Together, we co-founded our company and website Oddspedia. The main goal of our company is to provide valuable, competitive and user-friendly services for sports betting fans, players and publishers. Since its inception and over the course of several years, Oddspedia established itself as one of the biggest international affiliates in the sports betting world.

Could you elaborate on the cutting edge that Oddspedia possesses? There are other companies that offer similar services. What makes Oddspedia “the number one sports companion” of punters?

The website aims to provide as much value to the user as possible, and the information is conveyed in a manner to ensure a great user experience. It starts with guaranteeing a reliable odds comparison – odds on Oddspedia are being scanned in real-time across more than eighty bookmakers to ensure that only the most up-to-date data is displayed. This is complemented by features not commonly found in competing websites, such as geolocation to show only relevant betting sites for the user, direct links to bookmakers’ betslips, full odds movement history and various betting tools. This is part of what makes Oddspedia one of the best sites for odds comparison. But as a matter of fact Oddspedia offers much more than that. The website has amazing sports coverage as well, providing livescore information on more than 30 different sports. Users can also explore sports statistics, bonuses and promotions, or read the latest news on their favourite leagues, teams and matches. All of this wrapped in an app-like web experience, with quick performance and a state-of-art modern design makes it easy for Oddspedia to stand out from its competitors.

You recently overhauled the Oddspedia website. What are the new features that have become user favorites?

In August Oddspedia had the biggest makeover yet with its relaunch. The new version was in development for more than a year, and enabled the development team to apply new tools and technical innovations that were simply not possible on the old site. Major front-end and back-end changes were done to improve the user experience, and the new UI provides much more natural and polished user flow. To ensure seamless operation, updates regarding back-end software, systems,  processing odds nodes, and new integrations are introduced almost on a day-to-day basis.

You have also launched widgets for webmasters and digital publishers which help them monetize their website through affiliate marketing? Tell us more about the widgets and process of monetizing.

One of the main issues from editors, publishers and affiliates is providing real time data to their customers. Is extremely hard to find a proper way to do it. The Oddspedia Widgets fill the gap between the sports data feeds and the operators.

For editors, the Oddspedia Widgets have been developed as a real “all-in one” solution. These tools can be implemented into any site by simply pasting their code, providing that site’s users with real time odds data. Publishers can benefit from the live information by not only providing their users an odds comparison widget for free, but they can include their affiliate link to the respective bookmaker. Clicks are simply shared on a 50/50 basis. The way the split works is that the widgets rotate with two links, one for the publisher and the other for Oddspedia which will be applied with equal chance.

 Publishers will get real time sports data without any cost for them, at same time they offer that to their customers and readers.

The Covid-19 pandemic has affected the betting and gambling companies, especially the traditional forms of betting and gambling. It is not yet done yet. How have the lock-down and social distancing measures affected your business?

In every crisis there’s an opportunity. The coronavirus outbreak has had a devastating impact all over the world and on our daily lives, with many businesses in almost every industry feeling the pinch. That’s no different with the gambling industry, as most major sports were suspended in the first lockdown during spring time.

At Oddspedia we expected that the interest in sports will even grow bigger in times of social distancing and isolation. But with the vast majority of sports canceled we had to find a way to react to the situation. We focused on increasing our sports portfolio and cover almost any event going on worldwide. As crazy as it sounds, the matches from a Table Tennis tournament in Russia were checked over a million times on Oddspedia.

There are still positives that can emerge from the pandemic, with virtual sports and esports being one of them. Virtual Sports truly boomed in interest. Esports betting is a vertical in the industry that was already rising in popularity before the outbreak. But now, it’s well on its way to establish itself as a major offering for operators and affiliates, which is set to continue even after we come out the other side of virus lockdowns.

It has been seven years since Oddspedia was launched. Most of these times, you focused mainly on Europe, especially the German-speaking countries. You are now venturing in to South America. How has the user response so far from the Latin American countries, who certainly love their football? Any plans to start operations in Asia?

Our entry into the South American market has been very successful. The audience there is extremely passionate about sports and betting, and they show a great demand for our product. Of course, we provide local users with well-targeted information from local bookies in their native language. We began with the integration of Spanish and Portuguese languages for our product, then we structured our content to be as engaging as possible for local users. It’s no secret, that for users from Brazil, as well as for other Latin American countries, football is the most popular sport. So when entering our website, we meet users with the most interesting football matches from their local leagues. These are shown first and then followed by popular worldwide championships.

This personalized approach is very successful and we have good and stable traffic coming from these countries

Several Asian countries, like Japan for example, are very interesting for oddspedia, as well. However, we deem it highly important to find the right partner when entering a country like that. It is crucial to have the right partner who is fond of the language, can translate and adapt to the correct betting terminology, and possesses local SEO knowledge. We envision to grant sublicenses for oddspedia if the right company to partner with comes knocking on our door.

The technology is moving at an unimaginably high speed. How do you think artificial intelligence and machine learning would impact the betting industry, and specifically the odds comparison

Automation based on machine learning has been key within ecommerce for years and the igaming industry should apply insights gained in other sectors. Offering a personal user experience in a responsible environment comes from understanding and catering to each individual player’s needs from an entertainment point of view. AI is a type of software or hardware that learns – and it could be programmed to learn mostly about users and their behavior and utilize those insights to drive the developments of new, hyper-personalised gaming and internet betting experiences. The technology is being applied to learn our habits, our likes, and our relationship patterns. Online gaming is an industry that runs on data, such as results, stakes, percentages, odds, stats, and so on. All of these numbers are constantly crunched, calculated and analysed behind every major gaming platform. For this reason, ML is actually playing a growing influential role in the sector, changing the game for both online gaming businesses and their players

Finally, what would be your key advises to any new entrepreneurs starting something new in the gambling industry or affiliate marketing sector?

Don’t start something just on your own if you are a newbie. First, dip your foot in the water and gain some experience in the industry. I would recommend starting with a job at a bigger affiliate company or in affiliate marketing at an operator. If you are smart, you can learn a lot quickly and avoid a bunch of costly mistakes you might have made otherwise. In the next step, you can try out your own ideas. By then, you already have a sound understanding of the industry, which allows you to make even better products right from the beginning and the timeframe until you are able to realize a return on your investment is likely to be much shorter, as well.

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Los mercados de predicción ganan terreno en Brasil con la entrada de Previlabel

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“En el mercado regulado de apuestas sentí que estaba intentando nadar en un océano dominado por tiburones. En el mercado de predicciones, estamos ayudando a construir el propio océano.” (C.S)

El mercado de predicciones comienza a ganar espacio en Brasil en un momento de transformación para la industria del gaming y los productos digitales basados en probabilidades.

Aunque todavía es un concepto incipiente en el país, y contradictorio en países vecinos, este modelo, que combina elementos de mercados financieros, tecnología y comportamiento del usuario, ya ha demostrado su potencial en otras regiones al ofrecer estimaciones colectivas sobre eventos futuros.

Sin embargo, su avance ha sido conflictivo en América Latina.

En mercados como Argentina, por ejemplo, está enfrentado restricciones e incluso prohibiciones, en medio de debates regulatorios sobre su naturaleza y su posible similitud con las apuestas tradicionales.

En este contexto, Brasil aparece como un terreno aún en definición, donde la reciente regulación de las apuestas deportivas abre espacio para discutir nuevos formatos digitales basados en probabilidades.

Es en este escenario donde surge la figura de Carlos Santos, CEO y uno de los impulsores de este segmento en el mercado brasileño con el lanzamiento de Previlabel.

Con experiencia previa en el ecosistema de apuestas, Santos decidió dar un paso más allá del modelo tradicional para apostar por la construcción de una nueva categoría en el país: los mercados de predicción.

A través de su visión y su proyecto, el ejecutivo busca no solo introducir este concepto en Brasil, sino también desarrollar la infraestructura tecnológica necesaria para que nuevos operadores y empresas puedan formar parte de este ecosistema emergente.

En esta entrevista, Carlos Santos analiza el potencial del mercado de predicciones en Brasil, los desafíos de su desarrollo y las oportunidades que pueden definir el futuro de este segmento en la región.

 ¿El mercado de predicciones aún es poco conocido en Brasil. ¿Cómo explicaría este concepto a alguien que nunca ha oído hablar de él?

Los mercados de predicción son plataformas donde las personas negocian probabilidades sobre eventos futuros.

En lugar de simplemente apostar por un resultado, los usuarios compran o venden posiciones basadas en la probabilidad de que algo ocurra.

El precio de estas posiciones termina reflejando lo que el mercado cree que es la probabilidad de ese evento.

Por eso, muchos describen este modelo como una especie de bolsa de valores de probabilidades, donde la información, la opinión y el dinero se combinan para formar una estimación colectiva del futuro.

¿Por qué cree que Brasil puede convertirse en un mercado relevante para plataformas de predicción?
Brasil tiene varios factores que favorecen este tipo de mercado. En primer lugar, es un país altamente conectado digitalmente y con una gran adopción de nuevas tecnologías financieras.

En segundo lugar, existe una cultura muy fuerte en torno a los deportes y a los eventos públicos, lo que genera naturalmente interés por las predicciones.

Además, la reciente regulación de las apuestas deportivas ha abierto espacio para nuevas discusiones sobre productos relacionados con probabilidades y mercados digitales.

El país acaba de regular las apuestas deportivas. ¿Los mercados de predicción son una evolución natural de esto o una industria diferente?
Están relacionados, pero no son exactamente lo mismo.

En las apuestas deportivas tradicionales, las probabilidades son definidas por la casa de apuestas.

En los mercados de predicción, en cambio, son los propios usuarios quienes forman esas probabilidades al negociar posiciones entre sí.

Esto crea una dinámica más cercana a un mercado financiero, donde el precio cambia a medida que surgen nuevas informaciones y las personas ajustan sus expectativas.

¿Cuáles son los principales tipos de eventos que podrían volverse populares en este mercado en Brasil?
El deporte probablemente será el punto de entrada más natural, ya que existe una gran base de usuarios interesados en este tipo de eventos.

Pero con el tiempo, estos mercados pueden expandirse hacia áreas como política, economía, entretenimiento e incluso tecnología.

En otros países ya existen mercados de predicción sobre elecciones, indicadores económicos y grandes eventos globales.

Esto demuestra que el modelo tiene potencial para ir más allá del entretenimiento.

¿Existe el riesgo de que el mercado de predicciones sea confundido con las apuestas tradicionales?
Sí, especialmente al inicio.

Como ambos involucran dinero y probabilidades, es natural que exista cierta confusión. Sin embargo, la diferencia está en la dinámica del mercado.

En las plataformas de predicción, los usuarios pueden negociar probabilidades y reaccionar ante nueva información, lo que hace que el sistema sea más parecido a un mercado financiero que a una apuesta tradicional.

Con el tiempo, a medida que el público entienda mejor el funcionamiento, esta distinción tenderá a ser más clara.

En el exterior, las plataformas de predicción ya existen desde hace tiempo. ¿Qué puede aprender Brasil de estas experiencias?
La principal lección es que estos mercados funcionan mejor cuando hay transparencia, liquidez y reglas claras de operación.

Las experiencias internacionales muestran que, cuando están bien estructurados, los mercados de predicción pueden generar estimaciones bastante precisas sobre eventos futuros. Sin embargo, también ha quedado claro que es fundamental contar con mecanismos de integridad y un entorno regulatorio que acompañe la innovación.

Brasil tiene la ventaja de poder observar estos ejemplos y adaptar las mejores prácticas a su propio contexto.

¿Qué le hizo mirar hacia los mercados de predicción en lugar de continuar únicamente en el mercado tradicional de apuestas?

Durante el último SBC en Lisboa tuve un momento muy claro de reflexión sobre el mercado. Me di cuenta de que estaba intentando competir en un entorno extremadamente difícil para empresas nuevas: enfrentar directamente a gigantes ya consolidados en el sector de apuestas.

El mercado regulado de apuestas en Brasil es altamente competitivo y está dominado por empresas con gran capital. Es como intentar nadar junto a tiburones en un océano que ya les pertenece.

Fue entonces cuando entendí que tal vez la oportunidad no era competir en ese mercado de la forma tradicional, sino participar en la construcción de una nueva categoría dentro del sector. El mercado de predicciones aún está en sus inicios en Brasil, lo que abre espacio para la innovación, la tecnología y el liderazgo.

Percibí que podía aprovechar toda la experiencia adquirida en el sector de apuestas para ayudar a estructurar este nuevo momento del mercado en el país.

¿Cuál fue el momento en que decidió convertir esto en un negocio?
C
uando regresé a Brasil después del SBC Lisboa, mi visión de negocio cambió completamente.

Comencé a estudiar más profundamente el mercado de predicciones y entendí que no era solo una tendencia global, sino también una oportunidad real para construir infraestructura en este sector en Brasil.

A partir de esta visión, iniciamos una asociación con Brasil Bitcoin, aprovechando toda su experiencia en Web3 e infraestructura digital para desarrollar esta tecnología.

La idea fue combinar esa experiencia en blockchain con nuestra visión de producto y mercado, creando una base tecnológica capaz de aportar más competitividad e innovación a este nuevo segmento.

¿Cuáles fueron los mayores desafíos al comenzar en este sector?
El principal desafío fue construir la tecnología.

Los mercados de predicción requieren una infraestructura muy específica, que incluye sistemas de negociación de probabilidades, liquidez, gestión de eventos y mecanismos de integridad.

Como este mercado aún es muy nuevo en Brasil, prácticamente no existían soluciones listas adaptadas a la realidad local. Esto exigió un gran esfuerzo de desarrollo para crear una tecnología sólida capaz de sostener el crecimiento de este ecosistema.

¿El público brasileño está preparado para entender y utilizar los mercados de predicción?

Creo que sí.  El brasileño ya ha demostrado una gran capacidad de adaptación a nuevos productos digitales.

Basta observar el crecimiento de las apuestas deportivas, las criptomonedas y las plataformas financieras en los últimos años.

Cuando el modelo se explica bien y la experiencia es simple, la adopción tiende a ocurrir rápidamente.

¿Qué hace exactamente Previlabel dentro de este mercado?
Previlabel es una empresa de tecnología enfocada en infraestructura para mercados de predicción.

Desarrollamos la tecnología que permite a emprendedores crear sus propias plataformas de predicción y construir negocios dentro de este nuevo segmento que está comenzando a surgir en Brasil.

Nuestro objetivo es facilitar la entrada de nuevos operadores en este mercado.

Ustedes no operan solo una plataforma — venden tecnología para quienes quieren crear la suya. ¿Cómo funciona este modelo?
Exactamente.

Previlabel funciona como un proveedor de tecnología para este mercado. En lugar de operar una única plataforma, desarrollamos la infraestructura que los operadores pueden utilizar para lanzar sus propias marcas dentro del mercado de predicciones.

Esto permite que emprendedores y empresas ingresen en este sector de forma mucho más rápida, sin necesidad de desarrollar toda la tecnología desde cero.

¿Cree que veremos muchas plataformas de predicción surgir en Brasil en los próximos años?
Creo que esto ocurrirá muy rápidamente. En los próximos meses ya deberíamos ver varias plataformas emergiendo en Brasil.

Históricamente, el país siempre ha atraído nuevos modelos de negocio digitales debido al tamaño del mercado y al alto nivel de adopción tecnológica.

Cuando surge un nuevo segmento prometedor, Brasil suele convertirse en uno de los principales mercados de experimentación.

¿Existe una especie de “carrera” para crear el primer gran mercado de predicción brasileño?
Sí, esto es algo natural en cualquier industria naciente.

Cuando un nuevo mercado comienza a formarse, siempre existe una competencia inicial entre empresas para ver quién logra posicionarse primero y convertirse en referencia.

Probablemente estamos en el inicio de este proceso en Brasil, y quien consiga construir una tecnología sólida, ganar la confianza del público y escalar primero tendrá una ventaja muy importante.

The post Los mercados de predicción ganan terreno en Brasil con la entrada de Previlabel appeared first on Americas iGaming & Sports Betting News.

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Prediction Markets Gain Ground in Brazil as Previlabel Enters the Market

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The prediction market is beginning to gain traction in Brazil at a time of transformation for the gaming industry and probability-based digital products.

Although it is still an emerging concept in the country,  and a controversial one in neighboring markets, this model, which combines elements of financial markets, technology, and user behavior, has already demonstrated its potential in other regions by offering collective estimations of future events.

However, its development has been uneven across Latin America.

In markets such as Argentina, for example, it has faced restrictions and even bans, amid regulatory debates over its nature and its possible similarity to traditional betting.

In this context, Brazil emerges as a market still in formation, where the recent regulation of sports betting opens the door to discussions around new probability-based digital formats.

It is in this scenario that the figure of Carlos Santos emerges, CEO and one of the promoters of this segment in the Brazilian market with the launch of Previlabel.

With prior experience in the betting ecosystem, Santos chose to move beyond the traditional model and focus on building a new category in the country: prediction markets.

Through his vision and his project, the executive aims not only to introduce this concept in Brazil, but also to develop the technological infrastructure needed for new operators and companies to participate in this emerging ecosystem.

In this interview, Carlos Santos discusses the potential of prediction markets in Brazil, the challenges of their development, and the opportunities that could shape the future of this segment in the region.

Prediction Markets in Brazil

The prediction market is still relatively unknown in Brazil. How would you explain this concept to someone who has never heard of it?
Prediction markets are platforms where people trade probabilities about future events. Instead of simply betting on an outcome, users buy or sell positions based on the likelihood of something happening.

The price of these positions ultimately reflects what the market believes is the probability of that event.

That’s why many people describe this model as a kind of stock exchange for probabilities, where information, opinion, and money come together to form a collective estimate of the future.

Why do you believe Brazil could become a relevant market for prediction platforms?
Brazil has several factors that strongly support this type of market.

First, it is a highly digitally connected country with strong adoption of new financial technologies. Second, there is a strong cultural interest in sports and public events, which naturally drives interest in predictions.

Additionally, the recent regulation of sports betting has opened the door to discussions around products related to probabilities and digital markets.

The country has just regulated sports betting. Are prediction markets a natural evolution of this, or a different industry?
They are related, but not exactly the same. In traditional sports betting, probabilities are set by the bookmaker. In prediction markets, however, users themselves create those probabilities by trading positions with each other.

This creates a dynamic closer to a financial market, where prices change as new information emerges and as people adjust their expectations.

What types of events do you believe could become popular in this market in Brazil?
Sports will likely be the most natural entry point, as there is already a large audience interested in this type of content.

But over time, these markets can expand into areas such as politics, economics, entertainment, and even technology.

In other countries, prediction markets already exist around elections, economic indicators, and major global events.

This shows that the model has the potential to go beyond entertainment.

Is there a risk that prediction markets could be confused with traditional betting?
Yes, especially in the early stages. Since both involve money and probabilities, some confusion is natural. However, the key difference lies in the market dynamics.

In prediction platforms, users can trade probabilities and react to new information, making the system closer to a financial market than a traditional bet.

Over time, as users better understand how it works, this distinction tends to become clearer.

Abroad, prediction platforms have existed for some time. What can Brazil learn from these experiences?
The main lesson is that these markets work best when there is transparency, liquidity, and clear operational rules.

International experiences show that, when well structured, prediction markets can generate highly accurate estimates of future events.

However, they also highlight the importance of integrity mechanisms and a regulatory environment that keeps pace with innovation.

Brazil has the advantage of being able to observe these examples and adapt best practices to its own context.

What made you look at prediction markets instead of continuing only in the traditional betting industry?
At the last SBC in Lisbon, I had a very clear moment of realization about the market.

I understood that I was trying to compete in a very difficult environment for new companies,  going directly against well-established giants in the betting sector.

The regulated betting market in Brazil is extremely competitive and dominated by companies with significant capital.

It’s like trying to swim alongside sharks in an ocean that already belongs to them.

That’s when I realized that the opportunity might not be to compete in that market in the traditional way, but rather to help build a new category within the industry.

Prediction markets are still at an early stage in Brazil, which creates space for innovation, technology, and leadership.

I saw that I could bring all the knowledge I developed in the betting sector to help structure this new phase of the market in the country.

When did you decide to turn this into a business?
When I returned to Brazil after SBC Lisbon, my business perspective changed completely.

I began studying prediction markets more deeply and realized that this was not just a global trend, but also a real opportunity to build infrastructure for this sector in Brazil.

From that point, we started a partnership with Mercado Bitcoin, leveraging the company’s expertise in Web3 and digital infrastructure to develop this technology.

The idea was to combine this blockchain experience with our product and market vision, creating a technological foundation capable of bringing more competitiveness and innovation to this new segment.

What were the biggest challenges when starting in this sector?
The main challenge was building the technology.

Prediction markets require very specific infrastructure, including probability trading systems, liquidity management, event handling, and integrity mechanisms.

Since this is still a very new market in Brazil, there were virtually no ready-made solutions adapted to the local reality.

This required a significant development effort to build a robust technology capable of supporting the growth of this ecosystem.

Is the Brazilian public ready to understand and use prediction markets?
I believe so. Brazilians have already demonstrated a strong ability to adapt to new digital products.

Just look at the growth of sports betting, cryptocurrencies, and financial platforms in recent years.

When the model is well explained and the user experience is simple, adoption tends to happen quickly.

What exactly does Previlabel do within this market?
Previlabel is a technology company focused on infrastructure for prediction markets.

We develop the technology that allows entrepreneurs to create their own prediction platforms and build businesses within this new segment that is starting to emerge in Brazil.

Our goal is to make it easier for new operators to enter this market.

You don’t operate just one platform,  you sell technology for others to build their own. How does this model work?
Exactly. Previlabel operates as a technology provider for this market. Instead of running a single platform, we develop the infrastructure that operators can use to launch their own brands within the prediction market space.

This allows entrepreneurs and companies to enter the sector much faster, without needing to build the entire technology from scratch.

Do you believe we will see many prediction platforms emerging in Brazil in the coming years?
I believe this will happen very quickly. In the coming months, we should already see several platforms emerging in Brazil.

Historically, the country has always attracted new digital business models due to the size of its market and the high level of technological engagement.

When a promising new segment appears, Brazil often becomes one of the main markets for experimentation.

Is there a kind of “race” to create the first major Brazilian prediction market?
Yes, this is natural in any emerging industry.

When a new market begins to take shape, there is always an initial competition between companies to see who can position themselves first and become a reference.

We are likely at the beginning of this process in Brazil, and those who manage to build solid technology, gain user trust, and scale quickly will have a significant advantage.

The post Prediction Markets Gain Ground in Brazil as Previlabel Enters the Market appeared first on Americas iGaming & Sports Betting News.

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From B2C Scale to B2B Stability: Kanggiten’s Real-World Lessons in Platform Resilience

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Interview with Ivan Korkin, Head of Account Management at Kanggiten

After his successful participation at the HIPTHER Prague Summit 2026, we speak with Ivan Korkin, Head of Account Management at Kanggiten, to explore how real-world B2C operational experience can strengthen B2B platform stability in today’s high-demand iGaming environment — and why resilience, real-time monitoring, and proactive infrastructure design are becoming critical competitive differentiators.

Ivan, your discussion at HIPTHER Prague Summit focused on applying high-volume B2C operational lessons to B2B platform stability. From your perspective, what are the most overlooked insights that B2B providers can learn from real-world B2C environments?

The most overlooked insight is that B2B and B2C platforms do not require fundamentally different security and operational standards. In reality, the B2C experience differs mainly on the client side; the underlying security protocols needed to combat fraudsters, hackers, and bonus hunters remain exactly the same.

When designing platform architecture for long-term reliability, which core principles matter most today – and how has your approach evolved as traffic volumes and player expectations continue to rise?

The foundational principle is ensuring the platform is “Modular by Design”. Monolithic systems are simply too rigid for modern scaling. At Kanggiten, our platform is built from independent modules that communicate either through a shared data channel or via APIs. This ensures that if one module, like a tournament or bonus engine, gets overloaded, it does not bring down the entire platform; core functions like payments remain fully operational. This approach, called “graceful degradation,” keeps the platform reliable under pressure. Additionally, as expectations have risen, our approach has evolved to include self-healing capabilities, automatically restoring needed instances if a hardware failure occurs.

System resilience under load is a growing concern across the industry. What practical strategies should operators and suppliers implement to ensure performance remains consistent during peak demand moments?

Operators must utilize systems built for fast, automatic scaling without human intervention. When data volume grows, the platform should simply add more hardware on the fly. From a data hygiene perspective, peak loads often cause statistics to lag or duplicate. We prevent this by utilizing specialized columnar databases that scale horizontally for heavy analytical workloads. If a technical glitch sends the same data twice, our system recognizes it and refuses to double-count. Finally, resilience requires full system redundancy to achieve 99.9% uptime, ensuring there is zero single point of failure and that live database backups are hosted in physically separate data centers.

Kanggiten places strong emphasis on real-time analytics and monitoring. How do real-time metrics function as early-warning systems in modern iGaming infrastructure, and what signals should teams be watching most closely?

Real-time metrics are critical for identifying anomalies and root causes instantly. Many operators focus solely on technical metrics, but we closely watch business metrics like user registrations, deposits, bonus activations, and critical user chains. A server might appear healthy on a backend dashboard, but a sudden drop in these business metrics serves as an early-warning signal that issues are occurring on the user journey. Tracking these in real time prevents isolated technical glitches from turning into massive revenue losses.

Many teams still operate in reactive mode when incidents occur. What does a truly proactive issue-detection framework look like in 2026, and what cultural or technical shifts are required to get there?

A proactive framework utilizes dynamic product alerts and retrospective data analysis. Instead of waiting for a system crash, our alerting system compares the current volume of events against historical data—such as traffic from three weeks ago—to automatically determine if current metrics are normal or if human intervention is needed. Culturally, moving away from reactive firefighting requires a commitment to continuous testing; we run automated tests, manual checks, and cloud-based load testing before any code ever reaches production.

Looking ahead, as modular and full-stack platforms continue to evolve, what should operators prioritize now to ensure their infrastructure remains secure, scalable, and future-ready over the next three to five years?

Operators must prioritize a “provider-agnostic” approach to their infrastructure. Over the next few years, the ability to rapidly adapt to changing regulations and execute seamless, disruption-free migrations between cloud providers will be paramount. Security must also remain a top priority; operators should demand infrastructure that holds the highest-level PCI DSS certification (Level 1 v4.0) , where card data is encrypted with strong algorithms and in-transit data is secured using Sectigo and Google SSL certificates over TLS 1.2 or higher.

Kanggiten was the Silver Sponsor and Badge & Bracelet Sponsor at HIPTHER Prague Summit 2026. What key conversations did you have with operators and partners during the event, and what should the industry be watching next from your team?

We were delighted to speak with ambitious operators who demand speed, control, and performance without the bureaucracy of traditional platforms. We always want to discuss how our modular ecosystem allows businesses to launch in weeks, not months, and scale reliably under any load. As for what’s next, the industry should watch how Kanggiten continues to merge premium B2C conversion tactics with robust B2B infrastructure, delivering technology engineered specifically for measurable revenue growth and uncompromising stability.

The post From B2C Scale to B2B Stability: Kanggiten’s Real-World Lessons in Platform Resilience appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.

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