In AI, size is everything.

It’s been a journey of blood, sweat, and microchips for our team at SpaceAM — but we’re delighted to share our next milestone: we’ve successfully completed our first field trials of our in-situ, AI-enabled acoustic sensors.

Why does this matter? Because deploying ML-enabled devices in constrained environments—whether on drones, small probes, or portable sensing kits—has always been a challenge. Mass and size constraints force tough trade-offs between performance, power, and reliability. We have proven it can be done.

✅ Our own ML model is now running on a single, ultra-low-power chip

✅ Achieved environmental sound filtering and acoustic target acquisition in real-world testing

✅ Packaged into hardware that is both lightweight and robust enough for extreme conditions

This breakthrough shows that powerful, autonomous sensing doesn’t need a server farm or bulky infrastructure. It can be lightweight, efficient, and mission-ready.

At SpaceAM, we believe the future of sensing and intelligence lies at the edge—where data is captured, interpreted, and acted upon instantly, even in the harshest and most remote environments.

If your AI/ML project involves:

🔹 Edge hardware

🔹 Autonomous sensing

🔹 Extreme-environment deployments

…then SpaceAM has the expertise and the engineering mindset to make it possible.

👉 We’re always open to new conversations, collaborations, and challenges. If you’re curious about what’s possible when you combine AI, ML, and ultra-lightweight engineering, let’s talk.