Project AGI

Project AGI is explicitly working towards Artificial General Intelligence using the best tricks from Machine Learning, Computational Neuroscience and Artificial Intelligence. We are incorporated as an Australian startup, but with connections all over the world. Our team has decades of experience applying artificial intelligence & machine learning in real-world applications, and a track record of commercial success.

Project AGI has been an active research project since 2011 and was incorporated in 2017. We are a for-profit organization that strives to build collaborations across academia and industry, and contribute to open-research.

Artificial General Intelligence “ …. is the intelligence of a (hypothetical) machine that could successfully perform any intellectual task that a human being can. It is a primary goal of artificial intelligence research.” Wikipedia

Most AI and ML is “narrow”, meaning that it is designed for a single specific purpose. While true Artificial General Intelligence is still far away, in the short term we can augment machine learning with increasingly ‘general’ capabilities and features. Unlike most AI/ML, general intelligence should not require tailoring to specific problems. Instead, it learns continuously from interactions with a world, developing an internal representation by exploring and exploiting what it already knows. Algorithms with general intelligence features are applicable to a wider range of problems and tasks.

What is AGI?


A world enriched and secured by ubiquitous artificial general intelligence, contributing to advances in science, society, industry, and our understanding of ourselves.


Our mission is to develop algorithms with general intelligence qualities. We approach this by combining principles of biological cognition and machine learning to devise and empirically test novel and promising ideas.​

Ethical & Responsible AI

We will develop AI in an ethical and socially responsible way.


We support the community by networking and connecting with business and academic organisations, collating targeted research and publishing our own. We maintain an archive of relevant information and release Free and Open Source Software (FOSS) where appropriate. We acknowledge the social costs of industry disruption and advocate for measures to improve income security and equality.