Client testimonial

Scaling global intelligence

Kaizen Gaming — Global iGaming & Sports Betting — Top 10 Worldwide

8 wks Global deployment across 19 markets

Kaizen Gaming — owner of the Betano and Stoiximan brands — is one of the top 10 largest iGaming operators worldwide. Operating across 19 strictly regulated international markets with a 2,000-strong workforce, Kaizen manages over 60 terabytes of live, high-velocity data spanning sportsbook operations, casino, payments, player lifecycle, and regulatory compliance.

Kaizen's ambition demanded more than incremental improvement. The company required a paradigm-shifting intelligence capability that could scale across every market simultaneously, democratise analytics access for non-technical operators, and enable data scientists to deploy machine learning models directly into live production environments.

The challenge

The pain behind the numbers.

Despite Kaizen's position as one of the world's largest operators, escalating data platform costs and sluggish time-to-insight were hindering operations across all 19 markets. The cost of producing a single analytical insight had reached €1,000 — an economics that made rapid, data-driven decision-making across thousands of daily operational decisions financially unsustainable.

Analysts across the organisation were waiting hours or days for reports that needed to inform decisions made in minutes. Traditional BI platforms could not keep pace with the velocity of decision-making required in live sports betting — where odds shift in seconds, player behaviour evolves in real time, and regulatory requirements vary by jurisdiction.

Data science teams faced a parallel bottleneck. Models developed in laboratory environments could not be deployed into live production without lengthy engineering cycles, creating a persistent gap between analytical capability and operational reality. The machine learning models that could detect churn, optimise pricing, or personalise player experiences remained trapped in notebooks.

€1,000 Cost per single analytical insight
60TB+ Live high-velocity data under management
What we delivered

The solution in practice.

01

PLIX — conversational AI analytics

Deployed the PLIX conversational AI module enabling 1,000+ daily natural-language queries across all 19 markets. Operators can now ask questions in plain language and receive structured, visualised answers in seconds — eliminating the analyst bottleneck entirely.

02

EXO — data science deployment at scale

The EXO module enabled data scientists to deploy machine learning models directly into live production environments without engineering intermediation — closing the gap between model development and operational impact for the first time.

03

20+ bespoke analytical artifacts

Generated over 20 purpose-built analytical artifacts covering Sportsbook margin analysis, Casino yield optimisation, Bonus ROI measurement, Cashier performance monitoring, and Player 360 / Content 360 operational views.

04

Record-breaking global deployment

Achieved full deployment across all 19 strictly regulated markets in a record-breaking 8 weeks — a timeline that traditional enterprise analytics implementations would measure in quarters or years.

The impact

Bottom-line results.

8 wks Global deployment across 19 regulated markets
99%+ Cost per insight reduced — from €1,000 to €8
<8 min Time-to-insight — compressed from hours/days
€2M+ Annualised savings in data platform OPEX

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