Veovo operates an AI-powered platform for airport operations across 140 customer sites globally. The stack—.NET, C#, PostgreSQL, Kafka, AWS, Kubernetes—points to a distributed, event-driven architecture built for high-throughput sensor data and real-time decision-making. Active hiring is heavily weighted toward engineering (9 roles) across multiple geographies, with concurrent focus on passenger flow prediction and sensor integration, indicating rapid product expansion into the forecasting and data-analytics layers of airport operations.
Veovo provides an AI-powered operations platform for airports, connecting sensor networks, staff systems, and passenger flows into a single situational-awareness layer. The platform addresses capacity management, queue reduction, revenue optimization, and passenger experience across large, complex airport ecosystems. Customers span 140 airports globally; the company maintains regional support and engineering teams across the US, New Zealand, India, Poland, and Denmark. Core capabilities include real-time people-flow visualization, predictive analytics for passenger arrival patterns, and automated resource recommendations to reduce delays and optimize staffing.
Veovo's platform is built on .NET and C# for the backend, PostgreSQL and SQL Server for data, Kafka for event streaming, and Kubernetes for orchestration, deployed on AWS. The architecture supports Angular-based frontends and real-time sensor data aggregation.
Veovo serves 140 airport customers globally, with regional teams supporting operations across North America, Oceania, Europe, South Asia, and other zones.
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