Joel Peach

Joel brings nearly 30 years of experience turning complex operational problems into practical data, software, and decision-support systems. His work sits at the intersection of aviation, software development, analytics, and operations, with a focus on helping airports acquire better data, connect fragmented information, and use that data to improve asset utilization and performance.

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In aviation, Joel has led the development of computer vision and machine learning tools that convert camera-based observations into reliable planning and operational data. His airport-related work has included video analytics for passenger processing, license plate recognition for landside vehicle flow analysis, and data pipelines that help operators better understand how people, vehicles, and facilities move through constrained airport environments.

 

Joel’s background extends well beyond aviation. He has built and led software products in healthcare, transportation, energy, and business operations, including systems that supported capital program management, weather-based operations, clinical follow-up workflows, embedded controls, and large-scale workforce and financial operations. Across these industries, his work has consistently focused on making data usable: reducing manual effort, improving visibility, lowering risk, and helping teams make faster, more confident decisions.

 

As an entrepreneur and operational leader, Joel has also built the teams and data-driven systems and needed to scale complexity. That experience gives him a practical understanding of how technology succeeds in the real world: not as a standalone tool, but as part of a broader operating model involving people, processes, incentives, and constraints. His approach emphasizes useful software, trustworthy data, and solutions that help airports turn operational complexity into measurable improvement.