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138.599503 -34.921230 Designed In Adelaide
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Trusted AI Accelerators
for IOT IOMT and Space

Generate insights where you need them. AEON CX is the leading producer of low-power AI Accelerators your customers can trust. High-altitude to home. Agriculture to healthcare. AEON Enclaves deliver fast tamper-evident artificial intelligence untethered from communication networks and servers.

Low Power

Enclaves are small in size, consume less power than other accelerators and operate without direct cooling. Lower power improves reliability and reduces ownership costs.


Secure attestation allows insights generated at the edge to be trusted. Our unique technology ensures Enclaves and trusted applications have not been tampered with from hardware to software.

Full Speed

Accelerate inference to state-of-the-art speeds using convolutional, recurrent or next generation spiking neural networks with AEON C5 or C7 Enclaves.


Integrate trained neural networks from familiar formats and develop other application components with AEON Composer. The development tools and manufacturing service lifts the burden of low-level details.

Hyperspectral Surveillance
Forest Fire Intelligence

AEON C5 Enclaves power a groundbreaking bushfire mitigation solution. The new classification technology can accurately discover fuel hazards from high-altitude and alert responders faster than previously possible.


Engineered for Extremes

AEON Enclaves are engineered for the extreme environment of Low Earth Orbit, hostile temperatures of the Sahara Desert and wet areas at home. Enclaves provide customizable AI processor cores compatible with RISC-V architecture. Their modular redundancy design features a rugged radiation shielding enclosure.

  • C1 series

    GPU enabled

    AEON C1 series provide a GPU accelerated solution for learning, education and rapid prototyping. The series supports convolutional, recurrent and simulated spiking neural networks. C1 Enclaves are a low cost development testbed for edge inference applications.

  • C5 series

    FPGA enabled

    AEON C5 series are accelerated by FPGA architecture. The series operate at low-power and achieve state-of-the-art acceleration of convolutional, recurrent and simulated spiking neural networks. C5 Enclaves can replace existing GPU inference applications.

  • C7 series

    Neuromorphic enabled

    AEON C7 series are driven by neuromorphic processor cores and the next generation in edge AI acceleration. The ultra-low power series leverage spiking neural networks to deliver efficient pattern recognition from spatio-temporal data.

The Enclave Edge

  • Root of Trust

  • Application Isolation

  • Sensor Isolation

  • Proof of Location

  • Remote Attestation

  • Energy-aware scheduling

Augmented Reality Interfaces
Augmenting Your Abilities

Changes in health can be rapid and expert care isn’t always accessible. AEON C5 Enclaves drive an interactive mirror with the smarts to detect changes in health, fitness and wellbeing during your normal routine.


AEON Composer

AEON Composer is a Swift language development toolchain designed specifically for trusted applications - from small farm sensors to satellite payloads and medical diagnostic systems. Developed in alignment with AEON Enclave hardware, it simplifies system design and software development of C1, C5 and C7 applications.


The toolchain features an integrated development environment including compiler for synthesizing neural networks to target AI processor cores, debugger and software development libraries.


Enclave software is built on a heritage of real-world security and safety-critical applications. The development libraries couple NASA's Core Flight System with our GlobalPlatform compatible framework.


Accelerate neural networks trained with the leading deep learning frameworks. Composer can import models from familiar formats created with TensorFlow, Keras, MXNET, Caffe2 and PyTorch.


Provision custom Enclaves on-demand with Composer. Our production service evaluates application code to quality standards and optimizes neural networks for the target architecture.

The future depends on what you do next

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