# Futurus Group files patent for AI-based gratitude prediction model

- Link: https://fundraising.co.uk/2019/06/03/futurus-group-files-patent-for-ai-based-gratitude-prediction-model/
- Published: 2019-06-03T10:35:07+01:00
- Author: Melanie May

**Futurus Group has announced that it is seeking a patent for its proprietary gratitude
prediction machine learning model.**

[Futurus Group](http://www.futurusgroup.com) was launched by US philanthropy consultancy
firm [Gobel Group](https://gobelgroup.com/) [earlier this year](https://fundraising.co.uk/2019/04/16/new-us-tech-firm-will-help-healthcare-organisations-increase-philanthropic-support-through-ai/)
to help healthcare organisations increase philanthropic support through AI.

Its flagship product, G2G (Gratitude to Give) uses its patent-pending algorithm 
and, according to Futurus Group, is the first artificially intelligent product on
the market to focus on predicting gratitude specifically in a healthcare environment.
Early results using G2G show clients have experienced a 4-5 times increase in identifying
donors versus their former prioritisation methods.

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Chad Gobel, CEO and founder of Gobel Group said:

> “We conceptualised this idea a few years ago. We felt that the way philanthropic
> organisations were finding prospects was incomplete, and we wanted to develop 
> an algorithm that could dramatically improve the methodology. We’re so excited
> to see such great preliminary results, and the filing of the patent is an exciting
> milestone for us.”

The patent-pending technology involves the use of various machine learning models
in order to generate a gratitude score that characterises the likelihood that patients
will make a donation to the healthcare organisation in the future.

Using this method, which is HIPAA compliant, organisations will be able to obtain
patient history data, including data collected from patient interactions with the
hospital as well as third party data, and then use the gratitude prediction model
to process the data in order to generate a “gratitude score” for each individual.

The technology will enable philanthropic organisations to use the gratitude scores
generated by the system to optimise resource allocation and reduce the number of
resources required to obtain a target objective. The algorithm will prioritise prospects
based on their varying levels of gratitude, thereby optimising the allocation of
the organisation’s limited resources according to the prioritisation.

 Nathan Chappell, President of Futurus Group, said:

>  “Our goal with Futurus is to expand and improve the uses of AI-based gratitude
> indication, both nationally and internationally, and we’re very excited to be 
> working towards securing a patent for our proprietary technology. While we have
> already seen early success with the model in G2G, we intend to take full advantage
> of the algorithm and utilise it in other products soon to come.”

 * **[Project partners sought for University of Warwick’s Data Science for Social Good team](https://fundraising.co.uk/2022/03/01/project-partners-sought-for-university-of-warwicks-data-science-for-social-good-team/)**(
   1 March 2022)
 * **[GOBEL awarded patent on predictive modelling tech for healthcare fundraising](https://fundraising.co.uk/2022/07/15/gobel-awarded-patent-on-predictive-modelling-tech-for-healthcare-fundraising/)**(
   15 July 2022)
 * **[Summit to focus on responsible use of AI in fundraising](https://fundraising.co.uk/2023/08/07/summit-to-focus-on-responsible-use-of-ai-in-fundraising/)**(
   7 August 2023)

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