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Groundbreaking Artificial Intelligence
The Era of AI Scenario Forecasting Has Begun

Jumptuit Technology

Collectively, the Jumptuit Group’s Intellectual Property (IP) represents a comprehensive new approach in the development of Artificial Intelligence. Its goal is not to mimic and amplify human knowledge, sensibilities, and intelligence, but rather to complement human thinking and decision making by continuously observing ‘states’ free of human constructs and observing and learning new correlations and causations in relation to cross-sector variables that constitute future events – a non-human approach to help humans chart a future free from avoidable crises and conflict.

 

The Jumptuit Group’s interconnecting AI modules that exchange data and insights across sectors collectively provide unprecedented visibility into future events and unrivaled augmentation of human decision making to mitigate risk and improve outcomes.

 

Jumptuit, has recently been granted groundbreaking patents by the U.S. Patent and Trademark Office (USPTO). These USPTO-granted patents are part of a much larger Intellectual Property (IP) protection strategy consisting of patents and trade secrets that constitute the underlying systems and methodologies of the Jumptuit Group's technologies.

 

“SYSTEM AND METHOD OF AI ASSISTED SEARCH BASED ON EVENTS AND LOCATION”

October 2023

Inventor: Donald Leka

 

This AI Search invention relates to a system and method for autonomously retrieving relevant information in advance of future events and locations based on time intervals and distance intervals.

 

“SYSTEM AND METHOD OF AI ASSISTED SEARCH”

TBA

Inventor: Donald Leka

This AI Search invention relates to a system and method of AI expanded search for relevant data and information. AI formulated queries derived from AI generated metadata and analysis yield a plurality of independent search results including primary and expanded responses. AI generated queries expand search results to include data and information not requested by the user but based on relevancy to the user’s initial query. Each set of AI formulated queries constitutes a unique dynamically generated pattern rather than a static pattern based on an initial search string.  The newly granted “System and Method of AI Assisted Search” patent expands on the previously granted “System and Method of AI Assisted Search Based on Events and Location,” an AI Search invention that relates to a system and method for autonomously retrieving relevant information in advance of future events and locations based on time intervals and distance intervals. 

“SYSTEM AND METHOD OF CORRELATING MULTIPLE DATA POINTS TO CREATE A NEW SINGLE DATA POINT”

TBA

Inventor: Donald Leka

This AI Search and Blockchain Technology invention relates to a system and method for autonomously generating new data through the analysis and correlation of disparate data points. Newly generated data, information and insights are not present in the origin data points. Origins, locations and sources present in the origin data points are not accessible in the newly generated data point providing a security exchange and protecting privacy and anonymity.

 

These USPTO-granted patents mark significant milestones in the field of AI allowing Jumptuit to proactively gather relevant information in anticipation of future events and locations.

Genesis J2T AI Scenario Forecasting

Jumptuit provides transformative AI Scenario Forecasting applications for the Finance, Insurance, Transport and Logistics, Energy, Critical Minerals, Health and Travel Sectors, among others.

 

Cross-regional and cross-sector events continually threaten to disrupt global economic and business activity, and early signals are critical. Jumptuit’s Genesis J2T AI discovers the cross-sector elements and coactions that constitute the genesis of global events, and continuously generates adaptive scenario forecasting. Genesis J2T is based on Jumptuit’s Event Genesis Intelligence (EGI) that identifies the time and place of future events and generates adaptive scenario forecasting, based on continuous analyses of Real-Time-Cross-Spectrum-Data (RTCSD) captured via Jumptuit’s Global Data Nets (GDNs). 

 

Jumptuit’s Genesis J2T presents a new dynamic cross-sector index for identifying coalescing elements across sectors of the economy, political system, and other components of society, and external geopolitical, regional, and environmental factors to forecast events. The index measures the respective degree of each element and the collective value of the array of cross-sector elements to forecast the probability of an event.

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