Event

Edgenesis Showcases Physical AI at HPE Event in Singapore

Singapore – October 22, 2025 — Edgenesis presented its groundbreaking work on Physical AI at a flagship event hosted by Hewlett Packard Enterprise in Singapore, joining a lineup of innovators redefining the edge and AI landscape.

HPE SMF Event 1

HPE led the event with the unveiling of its latest edge computing solutions tailored for real-time, mission-critical workloads. Graymatics shared their advancements in vision AI, enabling smarter video analytics for urban and industrial environments, while Sunway showcased their next-generation innovation platform driving transformation across multiple sectors.

Representing the forefront of Physical AI, Edgenesis showcased Shifu, its open-source, Kubernetes-native IoT gateway, and its role in interconnecting AI models and IoT devices—where AI doesn't just process data but actively senses, controls, and interacts with the physical world.

HPE SMF Event 2

Edgenesis highlighted several real-world applications now powered by Shifu:

  • AI agents in EVs: enabling human-like interaction with the vehicle by allowing local AI to both speak to the driver and control in-car devices such as air conditioning, lights, and diagnostics systems in real time
  • Remote-controlled robotics: orchestrating a diverse range of field robots—including robotic dogs and ATVs—to perform maintenance and inspection tasks in remote, hazardous, or hard-to-reach environments
  • Automated smart labs: coordinating sensors and actuators to autonomously synthesize biological samples and streamline complex workflows in life sciences and R&D settings

With over 2 million devices connected globally, Edgenesis continues to help enterprises deploy intelligent edge solutions at scale—bridging cloud AI with physical systems for unprecedented responsiveness and autonomy.

The event marked a major milestone for cross-industry collaboration, and Edgenesis is proud to partner with HPE, Graymatics, and Sunway in shaping the next generation of edge-native, AI-powered ecosystems.

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