NEPI gives your team a common software foundation for the cohort, covering sensor integration, onboard AI, and mission automation as your system evolves.
Two years of enterprise NEPI licensing, free, for every cohort team. Full commercial use, not a trial.
This program is available exclusively to Oregon UAS Accelerator cohort teams.
You don't need a large engineering team to build intelligent UAS systems. NEPI helps startups move from prototype to field-ready systems faster.
Instead of spending early months and dollars building foundational software to test and demo their concepts, Oregon UAS Accelerator teams can use NEPI along with the tutorials and community resources to jump start their efforts. This removes the need to create custom software infrastructure for hardware integration, data handling, edge AI orchestration, system automation, and user interfaces during the early stages.
Throughout the cohort, teams can use NEPI as an experimentation toolbox to validate, test, and demonstrate their solution, then harden that solution into a product-ready system they can start delivering to customers.
A single developer can accomplish in weeks what used to take a team of software engineers months.
Five systems you would otherwise have to build before you could test your first idea in flight.
Plug-and-play hardware integration system for cameras, navigation, pan-tilt, and other common solution components.
Data management system for collecting, routing, and synchronizing system-wide data.
Onboard AI management system for wrapping, deploying, and orchestrating custom AI models.
Low-code automation and event system for rapid application layer development and testing.
Device configuration system for managing network, time, software, drivers, applications, and other system-level functions.
How UAS teams put the platform to work during a cohort build.
Deploy computer vision and AI models onboard the aircraft for object detection, tracking, inspection, mapping, or situational awareness, without relying on the cloud.
Stream and visualize cameras, LiDAR, GPS, IMUs, and other sensors with overlays for debugging, validation, and mission awareness.
Trigger actions from AI outputs or sensor conditions, building detect, decide, and act pipelines without a full autonomy software team.
Operate fully in-field on platforms like NVIDIA Jetson, enabling real-time processing in GPS-denied or bandwidth-limited environments.
A student capstone project used NEPI to build an AI-based drone system for search and rescue scenarios. The team connected cameras, ran object detection models, and built automated monitoring workflows, all using NEPI's low-code tools on NVIDIA Jetson hardware.
Three steps to a running NEPI system on your hardware.
Download the Docker container or install from source on your team's hardware.
Get startedWalk through a complete project from hardware connection to AI deployment.
Browse tutorialsAsk questions, share your build, and connect with other teams in your cohort.
Join Discord Community forumWhat UAS teams ask before they start building on NEPI.
The NEPI whitepapers cover the platform architecture and smart data capabilities in technical detail, for teams evaluating how NEPI fits their system design.
Read the whitepapersTalk to the Numurus engineering team, or jump straight into the Discord channel set up for the Oregon UAS Accelerator community.