Cortisonic

Computing with sound

Cortisonic

Computing with sound

Our Vision

Cortisonic is pioneering the future of AI with reservoir computing, powered by large, interconnected arrays of nanomechanical oscillators. Our breakthrough approach harnesses the natural dynamics of oscillatory systems to perform ultra-efficient, real-time AI processing.

Backed by a successful seed-round raise, Cortisonic is poised to revolutionize machine learning by providing an alternative to traditional deep learning models. Our technology leverages the inherent memory and processing capabilities of mechanical reservoirs, enabling low-power, high-performance AI solutions.

As we scale our technology and expand our research, Cortisonic is on a mission to reshape AI’s computational foundation. By fusing physics with intelligence, we are building a smarter, more sustainable future—one oscillator at a time.

Research Foundations

Tutorial: Membrane phononic integrated circuits

Acoustically driven single-frequency mechanical logic

Phononic circuits constructed from high tensile stress membranes offer a range of desirable features such as high acoustic confinement, controllable nonlinearities, low mass, compact footprint, and ease of fabrication. This Tutorial presents a systematic approach to modelling and designing phononic integrated circuits, beginning with acoustic confinement, wave propagation and dispersion, mechanical and actuation nonlinearities, as well as resonator dynamics.

J. Appl. Phys. 139, 081102 (2026) [pdf]

Acoustically driven single-frequency mechanical logic

This work shows how computation can emerge from the physics of motion itself. By using vibrations to carry and process information, it demonstrates a path toward mechanical intelligence — computing that’s efficient and built from the motion of matter.

Phys. Rev. Applied 21, 054029 (2024) [pdf]

Directional emission in an on-chip acoustic waveguide

Tunneling of Transverse Acoustic Waves on a Silicon Chip

A demonstration on how the precise control of sound at the microscale can reshape how information flows. By directing vibrations with near-perfect efficiency, it opens the door to integrated acoustic circuits.

Appl. Phys. Lett. 124, 013504 (2024) [pdf]

Tunneling of Transverse Acoustic Waves on a Silicon Chip

By showing that sound can tunnel through solid matter at microscopic scales, this research reveals a new way to connect and control motion on a chip. It’s a glimpse into the foundation of computing built from the physics of vibration and resonance.

Phys. Rev. Applied 15, 054036 (2021) [pdf]

Team

Glen Harris

Christopher Baker

Dr. Glen Harris is the Chief Executive Officer of Cortisonic. With a background in nanomechanics, quantum sensing, and deep-tech R&D, Glen has spent his career finding ways to translate complex physics into useful technology.

Christopher Baker

Dr. Christopher Baker is Cortisonic’s Chief Scientific Officer and one of the original minds behind our approach to mechanical intelligence. Chris leads the scientific work that turns complex physics into practical, scalable hardware.

Michael Harvey

Christopher Baker

Michael Harvey

Dr. Michael Harvey is Cortisonic’s technology Advisor and brings extensive experience building and scaling deep-tech startups in Australia, Silicon Valley, and Europe.

Matt Reeves

Michael Harvey

Dr. Matt Reeves is Cortisonic's lead Scientist. Matt has a background in theoretical physics and modelling nonlinear dynamical systems. At Cortisonic, Matt is building our software and emulation capabilities.

Tim Hirsch

Matt Reeves

Tim Hirsch

Dr. Tim Hirsch is Cortisonic's Hardware Scientist. Tim has a background in experimental physics, with expertise in nanomechanics, MEMS, nanofabrication and nonlinear wave dynamics. At Cortisonic, Tim is building our hardware compute capabilities.

Tina Jin

Matt Reeves

Tim Hirsch

Dr. Tina Jin is Cortisonic's Hardware Specialist. Tina has a background in experimental and theoretical physics, with expertise in nanomechanics, MEMS and radiation testing as well as numerical simulations of complex systems. At Cortisonic, Tina is building our hardware compute capabilities.

Cortisonic

Cortisonic

Our Vision

Research Foundations

Tutorial: Membrane phononic integrated circuits

Acoustically driven single-frequency mechanical logic

Acoustically driven single-frequency mechanical logic

Acoustically driven single-frequency mechanical logic

Acoustically driven single-frequency mechanical logic

Acoustically driven single-frequency mechanical logic

Directional emission in an on-chip acoustic waveguide

Tunneling of Transverse Acoustic Waves on a Silicon Chip

Tunneling of Transverse Acoustic Waves on a Silicon Chip

Tunneling of Transverse Acoustic Waves on a Silicon Chip

Tunneling of Transverse Acoustic Waves on a Silicon Chip

Tunneling of Transverse Acoustic Waves on a Silicon Chip

Team

Glen Harris

Christopher Baker

Christopher Baker

Christopher Baker

Christopher Baker

Christopher Baker

Michael Harvey

Christopher Baker

Michael Harvey

Matt Reeves

Matt Reeves

Michael Harvey

Tim Hirsch

Matt Reeves

Tim Hirsch

Tina Jin

Matt Reeves

Tim Hirsch

This website uses cookies.