Symbiotic AI
to augment human life

aKin developed a revolutionary form of Foundational AI

With deep intuition and true understanding of the world

Our team previously built, scaled and successfully exited two AI companies… 

Now powering IBM Watson.

Our AI are working today in
high-compliance environments needing deep trust and accuracy

We have proven our technology with NASA

Advanced Habitat Manager And Robots For NASA’s Jet Propulsion Lab
"...in the coming years we hope to use the aKin AI on long-duration space flights to not only help astronauts detect and manage problems in their environment, but also be a companion to them during what can be a lonely period.”
Tom Soderstrom
CIO, NASA’s Jet Propulsion Lab

Our Foundational Model works across Sectors

Expanding Across Multiple Use Cases And Revenue Streams

Our Partners

News

TEDx Sydney 2023 - Liesl Yearsley

Liesl Yearsley has been developing AI for 20 years. She was founder and CEO of an AI search engine that went public, she then founded an AI platform (Cognea) that was acquired by IBM.

aKin launches Limbic Scaffolding for advanced generative AI + multiple embodiments

aKin has successfully completed a Federal - Funded project called Limbic Scaffolding - a platform to more rapidly assemble ‘brain and body’ combinations for advanced generative AI with emotional awareness, for robotic systems and ambient AI.

LG and aKin To Develop AI Home Helpers For Families ...

During the mid-twentieth century, managing the household was transformed by the mainstreaming of technological innovations such as washing machines, dishwashers and vacuum cleaners.

aKin wins significant space agency grant for ‘AI crew for Space

The Australian Space Agency has awarded aKin a grant to build helper and inspector robots, and an AI habitat manager.

An emotionally intelligent AI could support astronauts on a trip to Mars

With thanks to the Advanced Manufacturing Growth Centre, aKin will develop a platform to combine robot brain, sensors and hardware.

Continuous adaptive learning for neural networks

A simple biologically plausible input conversion method based on the operation of the mammalian retina.