AI video platform for industrial workplace safety and incident prevention
Voxel builds a computer vision platform designed to detect workplace hazards in real-time across industrial sites. The stack reflects the infrastructure demands of the problem: Kafka and Kinesis for streaming video ingestion, Apache Flink for event processing, Kubernetes for orchestration, and Python/Go/C++ for model inference. The hiring velocity is accelerating—particularly in engineering and sales—suggesting both product scaling and expanding customer deployments among Fortune 500 manufacturers, retailers, and logistics operators.
Notable leadership hires: Sales Director
Voxel develops a site intelligence platform that uses AI and computer vision to identify safety risks before incidents occur. The product targets safety and operations leaders at large industrial companies, including major grocers, retailers, manufacturers, and supply chain operators. The core technical challenge is processing large-scale video streams at low latency while detecting anomalies in real-time. The company is based in San Francisco and was founded in 2020.
Voxel runs on AWS (EKS, RDS, ECS, Kinesis), Kubernetes, Apache Flink, Kafka, and cloud infra from Azure and GCP. Model inference uses Python, Go, and C++. Deployment and monitoring rely on Terraform, Docker, Grafana, and Prometheus.
Core projects include real-time safety vision systems, generative AI industrial vision, large-scale video and data processing infrastructure, low-latency event detection and alerts, and cloud infra for MLOps.
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