Technical papers from the Numurus engineering team on edge AI architecture, smart system development, and data strategies.
An overview of the NEPI software architecture - how the platform's driver framework, AI model management, automation layer, and browser-based interface work together to reduce smart system development timelines from months to weeks.
How organizations that own and operate physical assets - vessels, vehicles, facilities, infrastructure - can use a platform approach to add edge AI and automation capabilities without building custom software stacks from scratch.
A comparison of building edge AI infrastructure from scratch versus adopting a platform like NEPI. Examines development timelines, engineering costs, and long-term maintenance considerations for teams evaluating both approaches.
How NEPI's edge data collection, filtering, and structuring capabilities reduce the volume of raw data transmitted from field systems while improving the quality and usability of the data that reaches central systems.
How system integrators and solution providers can use NEPI as a foundation to deliver edge AI products faster, reduce custom development, and focus engineering effort on the application layer rather than infrastructure.
Our engineering team is available to discuss your specific application and technical requirements.