Coram AI builds physical security infrastructure that integrates camera feeds, sensors, and access systems into coordinated AI agents. The tech stack—Python, Go, C++, PyTorch, TensorRT, ONNX, NVIDIA Jetson, and CUDA—reflects a hardware-accelerated computer vision foundation designed for edge deployment. Active adoption of Rust, vLLM, and SGLang signals movement toward efficient LLM inference at scale. Hiring velocity is accelerating with a pronounced sales-to-engineering ratio (12:7), and projects span both product depth (video security, IoT fleet management, observability) and go-to-market velocity (lead gen automation, repeatable sales motion, mid-market playbooks).
Coram AI operates a platform that transforms physical camera and sensor networks into AI-driven safety and operations systems. The product integrates video security, access control, and emergency response into a unified interface, deployed across enterprise, education, manufacturing, and logistics customers. The engineering org is managing high-volume data pipelines, IoT device fleets at scale, and SOC 2 compliance requirements—typical of infrastructure companies handling sensitive physical access data. Sales leadership is driving repeatable motion and mid-market expansion, with support and observability challenges visible in the pain-point mix.
Python, Go, C++, PyTorch, TensorRT, ONNX, CUDA, NVIDIA Jetson for ML/edge inference; Kubernetes, AWS EKS, Terraform, Pulumi for infrastructure; Prometheus, Grafana, Looker for observability. Currently adopting Rust, vLLM, SGLang.
Video security product development, AI-driven video system scaling, IoT fleet management, lead gen automation, repeatable sales motion, mid-market GTM playbook, CI/CD pipeline and observability infrastructure.
Coram AI'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 →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.