Autonomous security robots paired with AI orchestration and human agents
Knightscope operates a hardware-software hybrid security service combining autonomous mobile robots, AI-driven command software, and licensed security personnel. The tech stack—ROS 2, Autoware, YOLO, TensorFlow Lite, Kubernetes, and AWS GovCloud—reflects a robotics-first engineering approach; active projects around K1/K7 production ramp, multi-sensor data pipelines, and FedRAMP compliance suggest the company is transitioning from prototype to operationalized deployments while navigating regulatory and supply-chain constraints typical of hardware-as-a-service businesses.
Knightscope is a publicly traded managed security service provider headquartered in Sunnyvale, California, offering autonomous security robots integrated with AI orchestration and human security agents. The company targets large facilities and enterprises requiring 24/7 physical security coverage. Operating since 2013, Knightscope combines custom autonomous vehicle hardware (K1 and K7 platforms), on-vehicle and cloud-based AI software (YOLO object detection, TensorFlow inference), and a team of licensed Augmented Security Agents who monitor and respond to detected threats in real time. Current focus areas include stabilizing manufacturing yield for its robot platforms, hardening data pipelines for multi-sensor integration, and achieving FedRAMP certification for government customers.
Knightscope uses ROS 2, Autoware, YOLO, TensorFlow Lite, Kubernetes, Docker, Jenkins, AWS GovCloud, HubSpot, NetSuite, and Grafana for robotics control, AI inference, cloud orchestration, and operational visibility.
Active projects include K1 and K7 prototype-to-production ramp, multi-sensor data pipeline reliability, CI/CD security gates, FedRAMP compliance, an H1 wearable platform for security agents, and emergency communication infrastructure.
Knightscope'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.