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Jun 4, 2026 8:30 AM

AMC Robotics Makes Strategic Investment in Etronium AI, an Agentic Edge AI Company Founded by Duke University Professors

NEW YORK, June 04, 2026 (GLOBE NEWSWIRE) -- AMC Robotics Corporation (NASDAQ:AMCI) ("AMC Robotics" or the "Company"), an AI-driven robotics solutions provider, today announced that it has entered into two Simple Agreements for Future Equity (each, a "SAFE" and collectively, the "SAFEs") with Etronium AI Inc. ("Etronium AI"), a North Carolina-based technology company developing agentic AI frameworks for hardware-in-the-loop (HIL) workflows. The Company invested in Etronium AI through two separate investments made on April 7, 2026 and May 19, 2026.

"Etronium AI is building a platform that allows AI systems to write, deploy, and test code directly on physical hardware, helping bridge the gap between simulation and real-world robotics," said Sean Da, Chairman and Chief Executive Officer of AMC Robotics. "By validating AI performance against live hardware rather than simulation alone, their technology directly attacks one of the most time-consuming and costly stages of robotics development. We expect this capability to meaningfully accelerate our own product roadmap—shortening development cycles and improving the reliability of platforms such as Kyro™ and NovaArm™. As robotics and edge AI move toward real-world deployment at scale, the ability to build and validate intelligent systems faster and more efficiently is becoming a decisive competitive advantage. This investment gives AMC Robotics early, strategic access to a foundational capability that strengthens our products and sharpens our position across industrial, security, and commercial markets."

Strategic Rationale

Etronium AI is addressing a core challenge in AI deployment: enabling AI systems to reliably interact with physical hardware in a testable and iterative environment. As AI extends beyond cloud environments into robotics, embedded systems, and edge computing, hardware-aware intelligence is becoming a key differentiator in building autonomous systems.

Etronium AI's proprietary agentic platform leverages large language models (LLMs) to enable AI agents to interact directly with physical devices. The platform supports firmware development, hardware knowledge management, device monitoring, and hardware-in-the-loop testing across diverse microcontrollers, operating systems, and connectivity protocols. By combining AI-driven automation with live hardware feedback, Etronium AI is designed to streamline the development, validation, and deployment of intelligent systems in real-world environments.

The platform ...