Precision sensing, built on compute
fast enough to resolve it.
ACIX Systems develops sensing and high-speed integration platforms — precision front ends paired with the adaptive compute infrastructure that runs them, for measurements conventional embedded hardware cannot resolve in real time.
View capabilities →Research
Measurement, where it's hardest to get.
The problem
The most consequential measurements in modern engineering are often the least accessible — taken in environments where the sensor is subject to the same disturbances as the thing it is measuring, so existing approaches only ever resolve a fraction of what is physically present. Closing that gap is as much a compute problem as a sensing one: the signal has to be captured, and then processed fast enough for capturing it to be worth anything. ACIX Systems develops both halves as one platform.
Application
Where this class of technology is used.
This class of sensing and signal-processing technology is applied across defence, aerospace, medical robotics, and autonomous systems — wherever measurement has to hold up under conditions that degrade it.
Defence
Optical sensors are the default choice on defence platforms, but dust, debris and low visibility routinely degrade or blind them — exactly when a clear reading matters most. Precision measurement needs to hold up in that same environment.
Aerospace
Optical, line-of-sight measurement breaks down in the same environment that produces the highest-value parts — coolant mist and metallic swarf routinely obscure it on the machining floor, right where dimensional accuracy matters most.
Medical robotics
Sealed, hermetic housings are essential for hygiene and biocompatibility in robotic joints — but that same barrier scatters the optical signal a sensor would need to read position cleanly from inside.
Autonomous systems
LIDAR and other line-of-sight sensors scatter uselessly in fog, dust and blowing debris — the same outdoor conditions autonomous platforms are expected to operate through reliably.
Defence
Optical sensors are the default choice on defence platforms, but dust, debris and low visibility routinely degrade or blind them — exactly when a clear reading matters most.
Aerospace
Optical, line-of-sight measurement breaks down on the machining floor — coolant mist and metallic swarf routinely obscure it right where dimensional accuracy matters most.
Medical robotics
Sealed, hermetic housings are essential for hygiene and biocompatibility in robotic joints — but that same barrier scatters the optical signal a sensor would need to read.
Autonomous systems
LIDAR and other line-of-sight sensors scatter uselessly in fog, dust and blowing debris — the same conditions autonomous platforms are expected to operate through reliably.