Predict outcomes where speed and accuracy matter
Physics-Informed Predictive AI combines scientific inputs with AI to accelerate projects with complex interconnected data. Use it to overcome the strong limitations and inaccuracies associated with conventional AI and Machine Learning (ML). We deliver accuracy in an easy-to-understand format.
Disparate data, not enough data?
Our science team guarantees meaningful insights within 8 - weeks, overcoming limitations of narrower and disparate datasets that add to project complexity.
International award-winning science, patented technology, and recognised leadership
Our clients have access to an award-winning science team with awards and technology, including; Alfred P. Sloan Foundation Research Fellowship, Breakthrough Prize, Gruber Prize, Einstein Medal, and the Bruno Rossi Prize.
Our company is a member of the NSW Government Data and AI Taskforce (Australia), supporting strategy and future thinking. We are also incorporated in the USA and operate worldwide.
About NSW Government
The NSW Government has approximately 500,000 employees and has introduced world’s first initiatives including digital driver license now being replicated by the UK and USA. More
Fun Facts
As Australians, we like to think we have given the world some great inventions and innovations.
Soggy bank notes? Australian polymer technology are used around the world, important for our beach culture, peel it from your budgie smugglers (also Australian, sorry) and buy an ice-cream.
Let’s not forget the Australian CSIRO invention of Wi-Fi.
Corked wine? Research how Australia changed drinking habits globally with the screw cap, yes it makes us smile too, and why didn’t anyone else do this before us?
The wine cask, the Hills Hoist…..ok you get the picture.
Insights visualisation and data management
One platform that keeps everyone on the same page. Unlimited users, unlimited access, fixed fee, fast deployment, and accuracy. Leverage insights developed by your industry sector peers.
Physics Informed AI performs substantially where there is;
- a requirement for a higher level of predictive accuracy, limited data, and rarity of failures that make conventional ML and AI approaches inadequate,
- a need to overcome inaccuracies and strong limitations of a yes/no analysis framework,
- a need for greater diagnostic capacity,
- a requirement for accurate predictions of physical process causing failures, and
- a need to overcome limitations of narrower datasets, where spatial correlation is physically inaccurate.
Customer Quote from a major water utility
‘Over the last ten years we have partnered with a leading university, funding much of their research. Their models were found to be very accurate across a very small subsets of data. However, when this model was applied across data from our $43bn network its prediction accuracy fell to below 10%. Imagine reading a document where only one word in ten makes sense! Now overlay the costs associated with poor predictive accuracy.
In contrast, KartaSoft Physics-Informed AI quickly identified the parameters causing failures. This is the most important element of any risk mitigation strategy. Once this was demonstrated and properly understood risk mitigation strategies were supported with confidence’. Senior Manager, Australian Water Utility.

Insights that matter!
We provide real-time practical insights to help address your challenges, both in the short and long term. If required, we can also pool sector knowledge from customers who share similar complex data environments and challenges.
Physics Informed AI performs substantially where there is;
- a requirement for a higher level of predictive accuracy, limited data, and rarity of failures that make conventional ML and AI approaches inadequate,
- a need to overcome inaccuracies and strong limitations of a yes/no analysis framework,
- a need for greater diagnostic capacity,
- a requirement for accurate predictions of physical process causing failures, and
- a need to overcome limitations of narrower datasets, where spatial correlation is physically inaccurate.
Customer Quote from a major water utility
‘Over the last ten years we have partnered with a leading university, funding much of their research. Their models were found to be very accurate across a very small subsets of data. However, when this model was applied across data from our $43bn network its prediction accuracy fell to below 10%. Imagine reading a document where only one word in ten makes sense! Now overlay the costs associated with poor predictive accuracy.
In contrast, KartaSoft Physics-Informed AI quickly identified the parameters causing failures. This is the most important element of any risk mitigation strategy. Once this was demonstrated and properly understood risk mitigation strategies were supported with confidence’. Senior Manager, Australian Water Utility.

Peace of mind
Our customers gain significant advantages from quantifiable improvements in predictions, particularly in situations where infrequent and significant events occur, and where there may be limited availability of data. If obtaining data poses a challenge, we are here to help.
Physics Informed AI performs substantially where there is;
- a requirement for a higher level of predictive accuracy, limited data, and rarity of failures that make conventional ML and AI approaches inadequate,
- a need to overcome inaccuracies and strong limitations of a yes/no analysis framework,
- a need for greater diagnostic capacity,
- a requirement for accurate predictions of physical process causing failures, and
- a need to overcome limitations of narrower datasets, where spatial correlation is physically inaccurate.
Customer Quote from a major water utility
‘Over the last ten years we have partnered with a leading university, funding much of their research. Their models were found to be very accurate across a very small subsets of data. However, when this model was applied across data from our $43bn network its prediction accuracy fell to below 10%. Imagine reading a document where only one word in ten makes sense! Now overlay the costs associated with poor predictive accuracy.
In contrast, KartaSoft Physics-Informed AI quickly identified the parameters causing failures. This is the most important element of any risk mitigation strategy. Once this was demonstrated and properly understood risk mitigation strategies were supported with confidence’. Senior Manager, Australian Water Utility.

8 weeks to achieve greater accuracy from less data
We provide a fixed fee set-up, and industry-standard SaaS pricing and delivery. This assures our customers we will continually predict what matters to them, with insights that are scientifically based.

Why our expertise matters
We are recognised as providing difficult-to-access insights. Examples include; the detection of lightning ignitions, predicting catastrophic failures, and governance risks associated with PII. In every case, there are large financial and operational impacts when not addressing known governance and compliance risks.

KartaSoft
Providing insights for the causation of failures and NOT the correlation to failures. This different way of thinking changes everything.
A large utility sought to identify the parameters most closely linked with the causation of failures. Our insights were universally accepted as providing greater clarity by understanding the cause of failures. Working with our customer we were able to link insights to maintenance strategies across a $43bn network.
Ask Us about the detail