Viam operates a full-stack robotics platform (Go, Python, C++, TypeScript) with heavy infrastructure investment—Kubernetes, Terraform, GCP, Azure, AWS—plus ML inference (TensorFlow, ONNX) and real-time comms (gRPC, WebRTC). Active projects span camera streaming, machine configuration backends, and production workflows; pain points center on unreliable networks, real-time sensor integration, and offline device handling. The org is engineering-focused with deliberate expansion into education and data roles, signaling a shift toward embedded training and operational telemetry.
Viam is a robotics software platform founded in 2020 that equips teams to build and deploy intelligent machines. The company operates as a full-stack vendor: hardware integration (Yaskawa, Fanuc, ABB robot support via ROS), cloud infrastructure (multi-cloud—GCP, Azure, AWS), and ML inference capabilities. Current priorities include improving real-time sensor data handling, supporting offline and unreliable network scenarios, and scaling auto-labeling workflows for production deployments. The 51–200 person team is based in New York.
Go, Python, C++, TypeScript for core services; TensorFlow/ONNX for ML; gRPC and WebRTC for real-time communication; Kubernetes and Terraform for infrastructure; GCP, Azure, and AWS for cloud deployment.
Camera and video streaming platforms, machine configuration backends, documentation and sample applications, hardware integrations (robot arms from Yaskawa, Fanuc, ABB), offline device data handling, and auto-labeling workflow scaling.
New York, NY. The company was founded in 2020 and is currently 51–200 employees, privately held.
Viam'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.