Ualá operates a multi-country neobank with 10M+ active users across Argentina, Mexico, and Colombia. The tech stack—iOS/Android, AWS (Lambda, EKS), Go, Java, .NET, PostgreSQL, plus Datadog + Prometheus—shows a distributed, cloud-native architecture built for scale. Project list reveals a company managing real fraud and credit-risk challenges at volume: fraud prevention automation, delinquent portfolio recovery, and regional risk consolidation dominate the roadmap, suggesting operational maturity at the cost of ongoing compliance and loss-prevention overhead.
Ualá is a neobank founded in 2017, headquartered in Buenos Aires with operations spanning Argentina, Mexico, and Colombia. The platform offers account opening, payments, lending, investing, and merchant services (Ualá Bis) through a single mobile app, serving over 10 million customers. The company operates 1,300+ employees across three offices and runs steady hiring across engineering, finance, marketing, and security. Recent Series E funding valued the company at USD 2.816 billion, reflecting its position as a leading fintech player in Latin America.
iOS, Android, AWS (Lambda, EKS, EC2), Kubernetes, Go, Java, .NET, PostgreSQL, Oracle, Datadog, Prometheus, Grafana, Looker, and Contentful. The stack reflects a mobile-first, cloud-native architecture with emphasis on observability and data warehousing.
Ualá is headquartered in Capital Federal, Buenos Aires, Argentina, with 1,001–5,000 employees. The company has offices in Argentina, Mexico, and Colombia, with 1,300+ team members across all three countries.
Active projects include regional fraud strategy, fraud prevention automation, delinquent portfolio recovery, risk framework definition, cloud-native AWS microservices, and asynchronous event sourcing systems—reflecting operational focus on fraud prevention, credit risk, and backend scaling.
Other companies in the same industry, closest in size