AI-powered surveillance and connectivity for critical infrastructure
ALTAVE manufactures tethered aerostat platforms equipped with AI-driven video analytics and IoT connectivity, serving defense, energy, mining, and agribusiness sectors across Brazil and EU markets. The tech stack—PyTorch, TensorFlow, NVIDIA DeepStream, Kubernetes, and cloud infrastructure (AWS/GCP/Azure)—reveals a company building production ML pipelines; active MLOps implementation and computer vision dataset work confirm they're moving from prototype toward operationalized AI. Hiring is accelerating across engineering and sales, with field maintenance and delivery reliability cited as open friction points.
ALTAVE designs and manufactures aerostat-based monitoring systems that combine hardware surveillance balloons with cloud-connected AI analytics. Founded in 2011 by ITA graduates, the company holds exclusive certification as Brazil's sole developer of tethered-balloon surveillance solutions and is accredited as a Strategic Defense Company. Their platform delivers real-time video analysis and geospatial intelligence to support decision-making in high-consequence environments—Olympic venues, critical infrastructure sites, remote mining and agribusiness operations. The company operates across Brazil and holds CE marking for EU distribution. Current focus includes quality standardization, hybrid network orchestration, and field deployment at scale across mining and agribusiness customers.
ALTAVE manufactures tethered aerostat (balloon) platforms with integrated AI video surveillance, real-time analytics, and IoT connectivity for monitoring critical infrastructure in defense, energy, mining, ports, and agribusiness sectors.
PyTorch, TensorFlow, NVIDIA DeepStream for ML; Kubernetes, Docker, Ansible for infrastructure; AWS, GCP, Azure for cloud; PostgreSQL, MongoDB, Redis for data; and Grafana, Prometheus, Zabbix for monitoring and observability.
ALTAVE is headquartered in São José dos Campos, Brazil, with 51–200 employees. The company was founded in March 2011 and currently operates an office in a local technological park.
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ALTAVE'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 →
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