The Entelligent IP Timeline represents our team’s groundbreaking work in developing an innovative financial processor and climate data platform, resulting in the creation of Entelligent®, Smart Climate® technology, and the E-Score®.
On December 31, 2019, the US Patent Office awarded Entelligent a patent for its “Climate Data Processing And Impact Prediction Systems” – our Smart Climate® technology.
January 2020
Patent Application US Serial No. 16/582,453 Published by US Patent Office.
February 2020
Entelligent filed a European patent application on February 4, 2020 assigned European Application No. 18849230.0.
November 2020
Entelligent to continue to expand IP coverage globally.
February 2019
Patent Application US Serial No. 16/107,702 Published.
August 2019
Filed continuation Patent Application US Serial No. 16/582,453; CLIMATE DATA PROCESSING AND IMPACT PREDICTION SYSTEMS.
September 2019
Notice of Allowance received as to US Serial No. 16/107,702 for issuance as a patent from US Patent Office.
December 2019
US Patent No. 10,521,863 based on US Serial No. No. 16/107,702 issued by US Patent Office.
August 2018
Filed full Patent Application US Serial No. 16/107,702; CLIMATE DATA PROCESSING AND IMPACT PREDICTION SYSTEMS.
Filed International Patent Application No. PCT/US2018/047415; CLIMATE DATA PROCESSING AND IMPACT PREDICTION SYSTEMS.
January 2017
Engaged law firm, DLA Piper, to begin patent filing process regarding Entelligent’s Smart Climate® technology and processes.
August 2017
Filed Provisional Patent Application US Serial No. 62/548,509; CLIMATE DATA PROCESSING AND IMPACT PREDICTION SYSTEMS.
Hired Dr. Pooja Khosla, quantitative analyst and data science consultant to develop the E-Score®, its related formulas, algorithms, and integration with the Smart Climate® technology.
Hired Dr. Mark Labovitz, to provide 3rd party validation of our E-Score and initial Smart Climate indexes: Validation Report SC 500 Index Suite 8 Years Rolling Data, & Validation Report SC 1000 Index Suite 8 Years Rolling Data.
February 2015
Financial Calculator peer reviewed by NCAR climate scientists:
Stoner published the book, “Small Change, Big Gains: Reflections of an Energy Entrepreneur” with a forward by Schimel, to share their research on how to successfully transform capital markets and the global energy supply to be more reliant upon sustainable fuel sources by the end of the century.
February 2012
Engaged MIT affiliate to help create a control panel allowing the Financial Calculator to interact with a global Integrative Assessment Model. The Financial Calculator simulates the profitability of global energy source investments (e.g., coal, oil, gas, renewables) to better understand the financial dynamics of various energy scenarios relative to potential climate scenarios.
Thomas H. Stoner, Jr. and Dr. David Schimel created an advisory board of climate scientists
Launched a collaborative effort to empower global stakeholders concerned with energy, the environment, and the economy
Engaged an international consultancy for a Low-Carbon Electricity Supply Study to examine global climate scenarios and integrate a “Financial Calculator” to run a series of “what if” indexes.
David Schimel received the Nobel Peace Prize for his work as Convening Lead Author on the Intergovernmental Panel on Climate Change report.
Climate Risk: Clouds on the Horizon
Decision makers are increasingly focused on climate change as an emerging and important risk category. Companies are subject to new policies, technologies, and shifts in energy supply and pricing impacting their operational budgets. Today decision makers have an eye toward forecasts based on these same metrics but using different climate scenarios.
Some are better prepared than others to handle the unique challenges each climate scenario presents. Investors are taking note — stock prices and portfolio returns are ultimately driven by risk and market expectations of future earnings dependent upon the scenario outcome.
For investors concerned with climate change risk, the opportunity is to apply predictive analytics to climate scenarios to reduce risk, improve performance and have Total Impact.
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