Solutions
/ Solutions
Location Insights
Supporting better decisions
Kartasoft is a location insights platform that brings together data, integrations and map templates to deliver revolutionary information to our customers. Use our data, create and share templates for your stakeholders or blend your own information to support mission critical decision making.
Technology
Our cloud native architecture supports individuals, allowing you to build powerful digital maps within minutes, bypassing the need for specialist teams. Kartasoft also integrates with leading technologies, provides a data library of unique content and our cloud technology means you don't need to worry about scaling, load times or accessibility.
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.
Solutions
Our powerful platform connects people, data and ideas. Combining your data with dynamic data and using our insights engine to surface opportunity and actions that have an impact.
Expose data to your stakeholders to overcome cyber security issues.
Whether providing fast answers for customers, seizing the moment to create an opportunity for your team or supporting operational efficiencies ask us how we can help you...
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.
Utilities
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.
Government
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.
KartaSoft
Supporting Enterprises Globally
KartaSoft is working with some of the largest government agencies and global enterprises to solve complex location and digital mapping problems. We believe in helping to evangelise the power of digital mapping, and it is because of this we provide a number of our maps at no cost to for impact organisations.
Heping extend the value of your teams and investments already made. Ask us how we can unlock information to help your organisation.
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.