List of Intrinsic Core Integrations
This is a list of platforms and tools that integrate with Intrinsic Core. This list is updated as of September 2026.
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FANUC FIELD System
FANUC
Transforming manufacturing through seamless connectivity and insightful analytics.The FIELD system, known as FANUC Intelligent Edge Link & Drive, is an advanced Industrial IoT platform developed by FANUC, designed to connect production machinery from different eras and brands, extending beyond just FANUC devices. This integrated system enables comprehensive data collection and insightful analysis throughout the manufacturing process, which helps minimize equipment downtime while improving operational efficiency and product quality. As an open platform, FIELD allows manufacturers to seamlessly incorporate devices from a variety of vendors, such as robots, PLCs, and sensors, and to create and implement FIELD Apps tailored to their specific needs. Furthermore, users can also purchase FIELD Apps created by either equipment manufacturers or independent software developers, each providing sophisticated features and innovative solutions to bolster their operational effectiveness. In essence, FIELD acts as a dynamic platform that encourages collaboration and drives innovation within the manufacturing sector, ultimately transforming how industries operate and adapt to new challenges. Its versatility positions it as a key asset for manufacturers looking to enhance productivity and streamline processes. -
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NVIDIA DRIVE
NVIDIA
Empowering developers to innovate intelligent, autonomous transportation solutions.The integration of software transforms a vehicle into an intelligent machine, with the NVIDIA DRIVE™ Software stack acting as an open platform that empowers developers to design and deploy a diverse array of advanced applications for autonomous vehicles, including functions such as perception, localization and mapping, planning and control, driver monitoring, and natural language processing. Central to this software ecosystem is DRIVE OS, hailed as the inaugural operating system specifically engineered for secure accelerated computing. This robust system leverages NvMedia for sensor input processing, NVIDIA CUDA® libraries to enable effective parallel computing, and NVIDIA TensorRT™ for real-time AI inference, along with a variety of tools and modules that unlock hardware capabilities. Building on the foundation of DRIVE OS, the NVIDIA DriveWorks® SDK provides crucial middleware functionalities essential for the advancement of autonomous vehicles. Key features of this SDK include a sensor abstraction layer (SAL), multiple sensor plugins, a data recording system, vehicle I/O support, and a framework for deep neural networks (DNN), all of which are integral to improving the performance and dependability of autonomous systems. By harnessing these powerful resources, developers find themselves better prepared to explore innovative solutions and expand the horizons of automated transportation, fostering a future where smart vehicles can navigate complex environments with greater autonomy and safety.
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