AI-powered video analytics for perimeter security and critical infrastructure
DAVANTIS develops computer-vision and deep-learning systems for video surveillance in high-security settings. The tech stack—PyTorch, TensorRT, OpenVINO, C++—reflects a mature ML engineering operation focused on inference optimization at the edge. Current hiring is concentrated in sales (Italy expansion) and QA automation tooling, while pain points center on scaling sales velocity and streamlining testing workflows.
DAVANTIS was founded in 2005 and specializes in video analytics software for perimeter security and critical infrastructure. The company designs its own computer-vision algorithms rather than licensing third-party models, giving it direct control over detection accuracy and false-positive rates. Core customers are security operations centers and facility managers at regulated sites. The product is installed on-premise or at the edge, with a focus on low-bandwidth operation and remote configuration. The 11–50-person team is based in Barcelona with recent expansion into the Italian market.
PyTorch, TensorRT, OpenVINO, C++, Python, and Active Directory. Testing relies on Selenium, Cypress, Playwright, TestRail, and Ranorex.
Bellaterra, Barcelona, Spain. Founded in 2005. Now expanding with active hiring in Italy.
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