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Capture, analyze, and act on high-resolution video and image feeds in milliseconds—at the source, with no latency or data transfer delays
AI agents monitor live streams to instantly identify anomalies, safety violations, or process deviations, triggering alerts when it matters most
Run multiple AI tasks—such as object recognition, posture analysis, and zone monitoring, simultaneously using lightweight, containerized models
Only meaningful insights, events, and metrics are shared upstream, keeping network loads light while ensuring enterprise-wide visibility
Designed for real-time environments, our solution delivers low-latency, high-accuracy visual intelligence at the source—enabling instant decision-making without reliance on cloud or data centers
Our agents process data on-device, reducing bandwidth and ensuring decisions happen where the action occurs
From AI cameras to industrial gateways, our platform supports NVIDIA Jetson, Intel Movidius, ARM Cortex, and other low-power chips
Built-in mechanisms ensure raw footage never leaves the device—supporting compliance for GDPR, HIPAA, and other standards
Edge devices continuously share learnings and tune their models across a federated network—boosting intelligence without centralizing data
Systems remain functional even in disconnected environments—guaranteeing safety, detection, and response without internet dependency
Assign different AI agents for tasks like thermal anomaly detection, human activity recognition, or visual asset tracking—each independently deployable
Feedback from field interactions and incident responses helps agents refine predictions and reduce false positives over time
Agents across various edge devices coordinate via secure channels—enabling swarm intelligence across plants, sites, or vehicles
A centralized dashboard aggregates events, performance stats, and visual analytics—supporting OT, IT, and AI teams simultaneously
From worker safety violations to faulty product detection, catch issues the moment they occur—without waiting for cloud inference
Store only critical footage and metadata, dramatically reducing storage needs and network congestion
Local automation means faster incident response, better uptime, and improved operational control
Empower quality inspection, assembly line optimization, and tool wear detection with real-time camera insights
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Support driver assistance systems, cabin monitoring, and external hazard detection in real time with in-vehicle AI vision
Rugged-ready agents operate in conditions with vibration, dust, and temperature extremes
Plug into existing ML stacks—ONNX, TensorFlow Lite, OpenCV, and Edge Impulse—without re-architecting your system
Develop and deploy use case–specific pipelines quickly using our SDKs and pre-trained visual agents
From one edge node to thousands, scale agents horizontally with centralized orchestration and decentralized execution
From intuitive setup to detailed monitoring dashboards, we support both AI engineers and field teams
