How teams use NEPI to build and ship edge AI systems across defense, maritime, industrial, and education applications.
Ocean Aero needed 360-degree automated threat detection on their autonomous surface vehicles. Using NEPI, their team built a full sensor fusion and AI detection pipeline in a six-month development cycle.
NEPI handled the hardware integration, sensor data collection, and AI model deployment. Ocean Aero's engineers focused on the detection algorithms and mission-specific logic rather than infrastructure.
VideoRay integrated NEPI to add AI-driven inspection automation to their ROV control system. The platform connects cameras, sonar, and navigation sensors through a single interface, with AI models running at the edge on the vehicle itself.
The result: automated visual inspection workflows that reduce operator workload and improve consistency across inspection runs.
WESMAR delivered AI-enabled sonar sensors to their customers within 5 months, with a team of two engineers. NEPI provided the software platform - drivers, AI model management, data collection, and the browser-based monitoring interface.
A student capstone project at Lane Community College used NEPI to build an AI-based drone automation and remote monitoring system for search and rescue scenarios. Students worked with real production-grade tools rather than simplified educational kits.
The project demonstrated that NEPI's low-code automation and plug-and-play hardware integration make edge AI accessible to teams without deep software engineering backgrounds.
UW Tacoma's research team used NEPI as the sensor and AI platform for an autonomous ferry project. The platform manages multiple sensor streams, runs detection models, and provides the real-time monitoring interface needed for autonomous vessel operations.
Talk to our team about how NEPI fits your application and hardware requirements.