What we do

Situated Reasoning

We are experts at ‘Situated Reasoning’ which is abstracting information from context to make inferences that are grounded in the specific situation at hand, rather than relying on general, or context-free rules. The goal is to reshape the landscape of decision-making where we seek insights about possibilities beyond our experience and data. Statistically driven methods can only take us so far.
Our patented method has foundations from Situation Theory and Category Theory and enabled by advances in functional programming and a world class team of modellers, developers and mathematicians. The team at Sirius-beta Labs has been quietly hitting key milestones. We are tackling complex reasoning beyond the grasp of most AI technologies. Instead of predicting based on past data, we want to enable reasoning about events with no precedent. This is called situated reasoning – backed by applied category theory, and years of Stanford research.
Our MVP is evolving fast, with pilots underway (and about to commence) with Tier 1 partners in Australia and US. We’re working on some of the toughest problems and collaborating on scale and deployment. We will share more soon.
What we do

Decisions that matter, made better

01 Our Purpose

Decisions that matter, made better

02 The Problem

Decision making at pace and scale under complexity and in the face of unknowns

03 Our How

Situated reasoning – in context, explainable and scalable