Edgenesis Highlights at embedded world 2024
Nuremberg, 2024/4/15 — Edgenesis, a pioneer in Kubernetes native IoT and Edge AI solutions, is thrilled to announce its successful participation at Embedded World 2024, the premier international fair for embedded systems held in Nuremberg, Germany. This year's event proved to be an extraordinary platform for Edgenesis to exhibit its flagship product, Shifu, a Kubernetes-native IoT gateway designed to streamline and enhance the capabilities of IoT devices across various industries.
At Embedded World 2024, Edgenesis demonstrated its cutting-edge technologies and solutions that power Edge AI applications, crucial for sectors such as agriculture, energy, manufacturing, and logistics. Our team engaged with industry leaders, potential clients, and technology enthusiasts, discussing the future of IoT and the significant role of Shifu in fostering seamless integration and robust performance at the edge.
"Our participation at Embedded World 2024 was a remarkable success. It was a fantastic opportunity to showcase our capabilities and explore collaborations that help solve real-world problems," said Yongli Chen, Founder & CEO of Edgenesis. "We are excited about the connections we have made and the interest in our technologies that enhance how industries operate digitally."
Edgenesis extends its gratitude to the organizers of Embedded World 2024 and to everyone who visited our booth. We are inspired by the shared enthusiasm for advancing the edge AI landscape and look forward to fostering the relationships and partnerships formed during this influential event.
For more information about Edgenesis and Shifu, please visit our website at edgenesis.ai.
About Edgenesis:
Edgenesis is a venture-backed startup in solving IoT interoperability issues with innovative, open-source solutions. Our product, Shifu, offers a Kubernetes-native IoT gateway, integrating heterogenous devices into Kubernetes clusters. Our services empower Fortune 500 companies and industry leaders to implement IoT and Edge AI-based digital transformations, leading to groundbreaking advancements in operational efficiency and sustainability.
