Sub-Millisecond

Inference Latency

<1W

Continuous
Inference Power

20+

Waveform &
Modulation Classes

Zero

Cloud Dependency

RF Classification at the Edge

Without the Power Penalty

The Challenge

Existing RF Classifiers Are Too Power-Hungry for SWaP-Constrained Environment

  • GPU and FPGA systems deliver high accuracy in the lab, but their power draw (typically >50W) and physical footprint disqualify them from UAV payloads and man-portable platforms — where real-time classification matters most.
  • Cloud-reliant inference adds latency, exposes sensitive RF data, and fails in denied or disconnected environments.
  • The result: massive false alarms, wasted resources, and operators who can’t trust their own systems.

The Solution

Akida Communication Reference Platform Brings Ultra-Low SWaP-C RF Intelligence On-Device, in Any Environment

  • The Akida Communication Reference Platform pairs Akida neuromorphic AI with an SDR front end to classify 20+ waveform and modulation types on device at <1W power draw — no cloud, no network.
  • Complete signal sovereignty — no raw RF data leaves the device and no exposure to interception or data exfiltration risk.
  • The result: real-time RF classification on battery-powered systems; local signal intelligence without cloud dependency.

Built for Classification

Designed
for the Field

Built for Classification

Designed for the Field

Real-Time Modulation Classification

Classifies 20+ waveform and modulation types on device — identifying jammers, drone uplinks, and hostile emitters at the moment of detection.

Sub-Watt Edge Inference

Sub-watt continuous inference on AKD1000. Fanless, compact form factor fits UAV payloads, handheld terminals, and battery-operated nodes.

Silent-Watch Operation

All signal processing happens on device — no raw RF data transmitted, no cloud dependency, fully operational in denied and disconnected environments.

Fast Prototyping & Customization

Record datasets, configure the signal pipeline, and train new models using Akida MetaTF tools — no hardware redesign required.

RF Intelligence

Across Critical Sectors

Electronic Warfare & Threat Detection

Identify jamming waveforms, hostile emitters, and spectrum interference in real time for autonomous countermeasure decisions in real-time.

UAV / Drone Passive SIGINT

Always-on RF classification at sub-watt power, viable on small UAS platforms with no data streamed off-device.

Spectrum Monitoring & Interference Detection

Continuous waveform monitoring in congested RF environments to detect unauthorized transmissions and interference sources 24/7.

Smart Radios & Adaptive Communications

Enable cognitive radio systems to sense and adapt to spectrum conditions in real time at power levels no GPU-based solution can sustain.

See it in Action!

Join the Akida Communication Platform Webinar

Get an inside look at BrainChip’s Akida Communication Reference Platform — covering platform
architecture, the RF modulation classification model, and signal classification demos.

Join us on 14 July at 10:00 AM PT.