AI agents deployed on edge hardware for real-time site operations
RIME Platform deploys AI agents directly onto edge devices (NVIDIA Jetson hardware) running inference via TensorRT and DeepStream, backed by Kubernetes orchestration and AWS/Azure IoT frameworks. The tech stack reveals a company solving computer-vision + operational-intelligence at the edge, not in the cloud. Hiring is balanced across engineering, sales, and security—with senior roles leading (6 of 11 hires)—and the pain list (resource allocation on edge, scaling AI workloads, edge device reliability) confirms they're solving hard infrastructure problems, not selling off-the-shelf dashboards.
RIME Platform builds software that runs AI agents directly on physical site infrastructure—cameras, sensors, and edge devices embedded in buildings and facilities. The product delivers real-time operational insights by running computer-vision and inference workloads on-device (NVIDIA Jetson, not cloud), then surfaces findings through operational dashboards and analytics. Founded in 2024, the company is headquartered in Riyadh, Saudi Arabia, and is currently scaling B2B sales while addressing core engineering challenges around edge resource allocation, security hardening, and CI/CD automation. The platform targets operations teams in physical businesses (retail, industrial, logistics) who need visibility and control without cloud latency or data-export complexity.
NVIDIA Jetson boards running Jetpack, deployed on-site. The stack also includes AWS IoT Greengrass and Azure IoT Edge for cloud connectivity and device management across distributed fleets.
Real-time operational dashboards, backend orchestration for edge devices, AI/CV pipeline performance tuning, secure CI/CD pipelines, and organization-wide security policies. Current focus includes B2B revenue growth and scaling AI workloads reliably on edge hardware.
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