Introspective Systems’ makes managing complex systems easier. Since the 1980’s, our technology has been used by the US Geological Survey (USGS) to aggregate seismic sensor data across the globe locating earthquakes in real-time. By adapting to network changes and analyzing output in real-time our xGraph technology has been saving lives.
This powerful and proven technology is now available to meet other complex systems needs. Whether managing data and analytics for an oil and gas exploration company or applications for the Internet of things, xGraph makes complex systems simpler.
The xGraph cut its teeth in the world of Geophysics. The USGS’ National Earthquake Information Center (NEIC) has used Introspective’s technology to process seismic data since the 80’s.
Some technologies incorporated in xGraph were first tested and developed by Dr. Johnson and team in the medical field and evolved into the highly integrated method that xGraph manages data.
One of the biggest data sets is image reconnaissance for the US military. BAE Systems used the predecessor to xGraph to mange the collection and computer processing of Intelligence, Surveillance, and Reconnaissance (ISR) image data.
The interconnection of IoT devices brings an entire new problem set including communications, scaling, security and management hurdles. We are using xGraph and its unique fractal analytics and scaling capabilities to tackle some of these problems.
We are using our experience and proven success by using xGraph’s capabilities to distribute data and analytics throughout the system and put intelligence to the network edge. Our architecture is built around the idea of “think globally, act locally” and is manifested by xGraph’s implementation of fractal analytics.
Introspective Systems is working on transitioning the legacy electrical grid from its current proprietary communications platforms to a vision of a framework architecture that can maintain flexibility and robustness at multiple levels.
The xGraph framework is used to apply leading edge decision and data science to Energy and Natural resource problems. Users manage investment decisions in the context of economic risk and subsurface uncertainty in the management natural resources.
Areas such as climate change and ocean acidification, economic modeling, cyber-security and pharmaceuticals require the modeling of dynamic information and complex inter-dependencies. These complex distributed simulation systems are a prime use for xGraph.