B2B iGaming platform and game aggregation for emerging-market operators
WA.Technology supplies modular iGaming infrastructure—platform, sportsbook, casino, and game aggregation—to operators in emerging markets. The tech stack reflects a mature polyglot backend (Node.js, Java, Spring, MongoDB, Redis, Kubernetes on GCP/Azure) paired with a modern React/TypeScript frontend, suggesting a focus on scalability and multi-tenant customization. Active hiring is split across engineering, finance, sales, and legal, with finance and compliance roles prominent—a pattern consistent with their stated pain points around multi-jurisdiction licensing, inter-company reconciliation, and regulatory change tracking.
WA.Technology is a B2B supplier of iGaming infrastructure, serving casino, sportsbook, lottery, and fantasy operators in emerging markets. The core offering is WA Platform, a white-label-capable stack that aggregates 75+ game providers and 15,000+ games, supports 80+ payment methods, and runs multi-currency operations across regions. The company operates offices in Malta, Portugal, Bulgaria, Romania, and the UK, providing on-the-ground support and regional compliance expertise. Current work focuses on expanding the WA.Aggregator product into global B2B sales, optimizing internal accounting systems (Business Central), and building integrations across payment and regulatory partners.
Backend: Node.js, Express, NestJS, Java, Spring Framework, MongoDB, Redis, MySQL. Cloud: GCP, Azure, Kubernetes, Docker. Frontend: React, TypeScript, Redux, Zustand, Webpack, Vite. DevOps/Testing: GitLab, Jira, Playwright, Cucumber.
Primary projects: scaling WA.Aggregator sales to global B2B clients, optimizing Business Central accounting workflows, building integrations with external payment and regulatory systems, and developing business intelligence reporting for multi-entity, multi-currency operations.
WA.Technology's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.