robotman ai

How we make magic.

Using the past to predict the future is the approach we take.

Houston We Have military-grade software allows the user to hypothesise and test future situations before going on to implement them in the real world.  Originally designed and built for the intelligence community, our patented software delivers insights beyond traditional AI.  We utilise Bayesian Reasoning and Subjective Logic to give humans the ability to predict the future at speed and without bias.

The rear vision analysis the others do

If you are driving a car and only looking in the rear vision mirror, you may miss the big ugly truck hurtling down on you – yes, a giant looming emergency is about to hit you from ahead.

Descriptive analytics looks at past performance. It understands performance by mining historical data to look for the reasons behind past success or failure. 

Predictive analytics encompasses a variety of statistical techniques from data mining, predictive modelling, and machine learning to analyse current and historical facts to make predictions about future or otherwise unknown events.

The power of the analysis we do - Prescriptive analysis

Prescriptive analysis is the distinctive approach that drives Houston We Have software.  We use it because it does what machines and/or statistics can’t – specifically, prescriptive analytics assigns meaning and reasoning to data in a way that only humans can.  Prescriptive analytics not only anticipates what will happen and when it will happen but also why it will happen.   The structured approach also generates decision options on how to take advantage of a future opportunity or mitigate a future risk and shows the implication of each decision option. 

Then, the real magic happens

Prescriptive analytics is able to accommodate new data that is used to re-predict and re-prescribe, automatically improving prediction accuracy which leads to  better decision options. 

By ingesting hybrid data, a combination of structured (eg. numbers, categories) and unstructured data (videos, images, sounds, texts), as well as business rules, we can better predict what lies ahead. Highlight the best way to take advantage of this predicted future without compromising other priorities is another critical benefit.

We believe modelling should also be connected to a world outside of stored data and able to capture and record human observation.  At Houston We Have, our methodology uses a  bayesian reasoning framework regulated by Subjective Logic calculus – a rigorous form of calculus designed to capture human insight and yet also mitigate human bias.   And in a world of fear and uncertainty, risk mitigation brings certainty and Houston We Have Human-Centred AI brings certainty without bias.

Problem Solved?

“Houston We Have a Problem” – An often misquoted line from the 1995 Ron Howard film, Apollo 13, starring Tom Hanks. “Houston, we have a problem” is an erroneous statement from the radio communications between the Apollo 13 astronaut John Swigert and the NASA Mission Control Center during the Apollo 13 spaceflight, as the astronauts communicated their discovery of the explosion that crippled their spacecraft. The actual words broadcast by Swigert were, “Uh, Houston, we’ve had a problem”. Houston We Have Human-Centred AI. Problem Solved.