Radeus Labs – Juliet Correnti Named CEO of the Year!

When we wrapped up our time at AIAA AVIATION Forum & ASCEND 2025 earlier this month, we left with fresh insights and a deeper understanding of where aerospace and defense are heading.

Held in Las Vegas, this year’s event drew professionals from across the aviation and space ecosystems. With over 1,000 speakers and 75 exhibitors, it offered more than the typical trade show. it was a highly technical forum that encouraged meaningful dialogue and forward-looking conversations.

The allure of cloud-based AI tools is undeniable. They’re fast to set up, easy to access, and promise powerful capabilities without the need for infrastructure investments. But beneath the surface, many organizations—especially those in regulated or security-sensitive industries—are discovering that the real cost of cloud AI goes far beyond the monthly invoice.

If your team is evaluating how to scale AI internally, it’s critical to understand what you may be signing up for. Because while public AI tools offer convenience, they also come with hidden costs, hidden risks, and very real limitations—particularly when compliance, data control, and operational continuity are on the line.

Before your satellite antenna can track anything, it has to find and acquire the right signal—with factors like orbital drift, weather interference, and even minor miscalculations in positioning meaning the difference between a strong, stable connection and a frustrating search for a missing signal.

This is where Antenna Control Units (ACUs) do the heavy lifting. They don’t just move the antenna—they calculate look angles, scan for beacon signals, and refine positioning to lock onto the satellite with pinpoint accuracy. If your ACU is outdated or slow, that process can become a bottleneck, costing valuable time and signal reliability.

This article breaks down 4 ways ACUs acquire satellite signals, the challenges involved, and how modern upgrades can enhance accuracy, speed, and long-term performance.