NEPI handles roughly 90% of what most smart systems need out of the box. Teams customize the remaining 10% for their specific application.
Sensors and hardware on the left. NEPI in the center. Intelligent outputs on the right.
If your team has ever started a sensor integration project and spent three months writing plumbing before touching the actual problem - there is a better starting point.
Building a smart system today means stitching together hardware drivers, AI pipelines, automation logic, data collection, and a monitoring interface. That is months of work before you get to the application your team was hired to build.
Plug-and-play support for cameras, LiDAR, sonar, pan/tilt, and actuators. NEPI's standardized abstraction layers (IDX, PTX, LSX, RBX, NavPose) let your team start collecting data in minutes, not weeks. Supported hardware is recognized and configured automatically.
Bring your own models. NEPI handles loading, inference, and output routing. Works with Darknet/YOLO and custom frameworks. Models connect directly to live sensor data, share outputs with downstream processes, and trigger automation actions.
Event-driven workflows. When this happens, do that. No custom code needed for common automation tasks and trigger responses. Turn AI detections into real-time actions: log data, send alerts, activate indicators, control actuators and robots.
Structured, timestamped data from every sensor and process. Capture, synchronize, store, and export your data. Build high-quality datasets for AI model training and analysis without writing custom logging code.
Configure, monitor, and control your entire system from any browser. No apps to install. Works on any device with a web browser. Dashboards for system status, sensor feeds, AI outputs, and data management.
NEPI is built on the most widely used frameworks in robotics and autonomous systems. The full codebase is publicly available at github.com/nepi-engine under the BSD-3 open-source license.
If your team is already working in ROS, NEPI adds the AI model management, hardware abstraction, and automation layer you would otherwise build yourself. No need to leave behind what you already know.
From defense to education, across any environment where hardware meets AI.
AI-enabled data collection at the point of capture. Process sensor data in real time, filter noise, and extract structured information at the edge.
Continuous environmental and system monitoring with automated alerting. Track conditions, detect anomalies, and log data without manual oversight.
Automated visual and sensor-based inspection workflows. Detect defects, measure conditions, and generate reports from AI-driven analysis.
Event-driven control of actuators, motors, and robotic systems. Turn detections into actions in real time, from simple alerts to complex multi-step workflows.
Everything you need to evaluate, install, and build with NEPI.
Platform reference, API docs, and configuration guides for every NEPI subsystem.
View docsStep-by-step guides from first install to building complete applications with NEPI.
Browse tutorialsJoin other NEPI developers on Discord and the community forum. Ask questions, share projects, and get help.
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