ENKI is the first core-IP implementation of our patented technology.
ENKI represents a significant step forward for the use of artificial intelligence concepts on embedded devices.
ENKI offers advanced genericity features and easy-to-use capabilities that set new industry standards for AI applications.
Our core-IP has been designed for various applications, providing efficiency, performance and flexibility.
This core-IP can be integrated in an ASIC design keeping its genericity and the possibility to configure it on the fly with any Artificial Neural Network making it a very efficient AI processor.
ENKI-DS
This ENKI Development System (ENKI-DS) has been specifically engineered for the seamless integration of ENKI core IP.
This system is designed to streamline the process of embedding ENKI features into a variety of applications.
It integrates an intuitive interface and a set of tools that ease the understanding of IP integration, ensuring that developers can focus on optimizing performance and functionality.
Enki
ENKI is the first implementation (in the form of a FPGA core-IP ) of our patented technology.
ENKI represents a significant step forward for the use of artificial intelligence concepts on embedded devices.
ENKI offers advanced genericity features and easy-to-use capabilities that set new industry standards for AI applications. Our core-IP has been designed for various applications, providing efficiency, performance and flexibility.
This core-IP can be integrated in an ASIC design keeping its genericity and the possibility to configure it on the fly with any Artificial Neural Network making it a very efficient AI processor.
Enki-DS
This ENKI Development System (ENKI-DS) has been specifically engineered for the seamless integration of ENKI core IP..
This system is designed to streamline the process of embedding ENKI features into a variety of applications.
It integrates an intuitive interface and a set of tools that ease the understanding of IP integration, ensuring that developers can focus on optimizing performance and functionality.