What We Do

Advanced Situated Reasoning

Sirius-Beta is breaking away from conventional AI limitations, providing unprecedented insights that surpass existing methods. At the core of our innovation is possibilistic reasoning, reshaping the landscape of decision-making – we want to understand possibilities beyond what has previously been experienced.

Navigating uncertainty and conflicting information

Open World Modelling

Active investigation, hypothesis testing, and continuous re-interpretation for adaptability

Possibilistic Reasoning

Managing complexities in feedback loops and abstraction

Scalable Inferences

Balancing explicit and tacit knowledge

Managing Unknowns

Explore the intricate web of global challenges with our mission-driven approach, focusing on adaptive governance and collaborative action. We specialize in tackling the world's most complex issues, blending insights from enterprise, government, and environmental domains. Our expertise lies in strategic disambiguation and resilience, addressing the interconnectedness of socioeconomic, technological, and geopolitical factors. We don't just acknowledge the complexity of these wicked problems – we embrace it as part of the solution.

Sirius-beta AI Reasoning & Decision Making

We are currently experiencing a pace and scale of technological advancement unparalleled in human history. The Volatility, Uncertainty, Complexity, Ambiguity (VUCA) of risks (and decision making) faced by companies, governments and society at large is outstripping the capacity of traditional techniques for modelling. The world needs a better way to model possibilistic futures.

“AI” is often touted as the answer, and while it is ideal for many things, there are others that cannot be done with current computational approaches, no matter how much data or processing power you have, and no matter the sophistication of the model. This is a limit from the mathematical theory used in machines, they require all computing to use a version of set theory. The limits of set theory, and how it compromises effective decision making and reasoning, have been known by mathematical logicians and computer scientists for decades. They know the past is not symmetrical with the future, the situation is always different, thus modelling the nuances of context is the end goal. Solving this problem has been the objective of many and the subject of many USD$Billions in research.

The world one can reason about is limited to the data available, and the models built with that data; the surprisingly limited rules produce the so-called ‘closed world’ restriction. The upside is that results are guaranteed; no answer will be outside that world. The downside is that there will always be domains dominated by unknowns, and current methods simply pretend they don’t exist or make false assumptions about them, resulting in ‘hallucinations’.

 

The critical problems faced by humankind straddle across such domains, many of which are interconnected through points of influence. The root cause of problems can often be traced through complex causal pathways – often acutely apparent in hindsight. Decision makers need a better process of modelling forward, decreasing their unknowns and reasoning with facts; decision making is thus a fundamental process of managing unknowns.

Our Solution

Breaking free from conventional AI boundaries, Sirius-beta delivers insights unattainable through existing methods. We aid in comprehending potentials that surpass current reasoning approaches. This embodies the essence of possibilistic reasoning, paving the way for the future of decision-making.

We know the power of alternative or supplementary theoretical foundations. Most promising and well explored is category theory – often termed the ‘mathematics of mathematics’. A fundamental problem is how to run these expanded foundations on machines with more restricted set theoretic foundations. Another is how to understand truth in a larger context; and how to ‘get the best of both worlds’ where we can use advances in standard AI from one side and combine with open world reasoning over situations on the other.

In short, we will work with the output of Large Language Models, sensor data ingestions and other Machine Learning outputs, and reason over them against an evolving real world situation – This is our solution.

Backed by patents and ongoing research and development, we are building an advanced reasoning platform and are working closely with government, commercial and university partners to establish practical use cases. We have a solution, we are now working towards commercialisation.

Our advanced reasoning platform will extend and adapt methodologies from machine learning and decision theory into varied categoric paradigms, significantly enhancing the depth and accuracy of model construction and analysis. In particular, we are working to deliver efficient and scalable inferences, particularly in situation-theoretic models. Our aim is to also offer an intuitive interface for integrating different types of data, along with advanced algorithms for detailed causal network visualisation. API access is also planned for third party integration.

Sirius Beta Contextual ai artificial intelligence

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Who we collaborate with

Our founding team

Sirius-beta’s founding team collectively has decades of research and delivery experience across the US and Australia. They are backed by a broader group of developers, mathematicians and commercial experts.

Chief Scientist - Professor Ted Goranson<br />

Ted specialises in cognitive modelling, bringing profound experience from U.S. National Security and Intelligence, notably with DARPA.

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Chief Narrative Modeller - Assistant Professor Beth Cardier<br />

Beth’s career has focused on cognitive narratology, the understanding of how the human mind comprehends and processes narratives.

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Chief Risk Modeller - Adjunct Professor Mat Hancock<br />

Dr. Mathew Hancock is dedicated to advancing the field of risk management and artificial intelligence, particularly applying situated reasoning.

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Senior Mathematician - Naso Evangelou-Oost<br />

Naso is a Senior Mathematician and PhD candidate (pending). He is committed to bridging theoretical mathematics with impactful practical applications.

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