At Iliad Innovations, we are committed to advancing the frontiers of autonomous systems and intelligent aerial technologies. We specialize in the design and development of modular navigation and control platforms for multi-mission unmanned aerial systems (MUAS). Our goal is to deliver reliable, adaptable technologies that enable organizations to operate effectively in complex real-world environments.

Supported by a team of experienced engineers and researchers, we develop innovative solutions that integrate artificial intelligence, sensor fusion, and modern embedded systems. Our flagship platform, the JM1 Nav Box, represents a new generation of AI-enabled navigation and control technology designed to support intelligent autonomy and advanced aerial operations.

Built on a strong foundation of research and development, Iliad Innovations focuses on creating practical technologies that can be applied to a wide range of uses including search and rescue, environmental monitoring, infrastructure inspection, and other advanced aerial applications.

At Iliad Innovations, we believe the future of aerial systems lies in intelligent autonomy, adaptable platforms, and responsible innovation.we are dedicated to shaping it with groundbreaking solutions that empower and protect.

Joseph Malkom, CEO:

Joseph is a technology executive with experience building AI-enabled and cloud-integrated systems for complex engineering environments. He has held senior roles working on autonomous platforms and large-scale infrastructure at organizations including Boeing and Amazon. His work focuses on turning advanced AI technologies into reliable, scalable solutions.

Andy Shahbazian, Founder and Principal Architect:


Andy Shahbazian is a senior Artificial Intelligence and Machine Learning (AI/ML) and Generative Artificial Intelligence (GenAI) systems architect with over two decades of experience in advanced engineering systems and hyperscale cloud infrastructure. His background includes the original design of software-programmable switching power supply systems and automated test platforms, followed by architecting secure online Product Lifecycle Management (PLM) and enterprise engineering platforms for major technology organizations in El Segundo, California.

In recent years, Andy has led the development of GPU-accelerated Artificial Intelligence (AI) and Generative Artificial Intelligence (GenAI) systems operating at both the edge and in the cloud. His work includes building over-the-air (OTA)–enabled, vision-language model (VLM) platforms that integrate sensor fusion, autonomous systems, and real-time data workflows to support advanced situational awareness and intelligent automation.

He previously served as a Global Senior Solutions Architect at Amazon Web Services (AWS), where he helped introduce modular virtual integration platforms and marketplace-driven AI ecosystems designed to operate reliably in distributed and bandwidth-constrained environments.

Andy focuses on translating advanced AI research into practical, secure, and scalable solutions for complex enterprise and technology platforms.