Future Workforce Grant Program
for Large Scale Workforce Skills Development
EON Reality Inc.
18 Technology Drive, Suite 173
Irvine, CA 92618 United States
The EON Reality Future Workforce Grant Program supports academic institutions and governmental organizations in launching new Spatial AI programs, developing the future workforce’s Spatial AI skills, deploying Spatial AI solutions at scale, and enabling localized content creation. Through this grant, organizations receive financial and technical support for organization-wide rollouts of Spatial AI programs.
EON Reality’s Spatial AI technology and EON AI Assistant, along with the Learn, Train, Perform framework and EON Spatial AI Programs, enable organizations to create immersive, interactive, and intelligent training and learning experiences. These solutions are designed to help organizations develop the future workforce’s Spatial AI skills, deploy Spatial AI solutions at scale, and enable localized content creation.
The EON Reality’s Future Workforce Grant Program offers selected institutions:
By participating in the EON Reality’s Future Workforce Grant Program, institutions can accelerate their digital transformation and better prepare their students and workforce for the rapidly evolving global economy.
Only invited candidates are eligible for the Future Workforce Grant Program. The Program has been developed for organizations that are seeking XR based EdTech solutions at Scale and lack funding to launch organization wide rollouts of XR programs in the post-pandemic world.
If the Application is approved, EON Learn of Life issues a Certificate of Approval and EON Reality and the Applicant sign an Offer Letter to set up a research study as follows:
Only applications received by May 31, 2024 will be considered. The seven steps grant procedure is as follows:
The Certificate of Approval is valid for 14 days. If the Offer Letter is not signed by both parties within 14 days, the Certificate of Approval expires, and the grant is repatriated to the Learn for Life Foundation for the next Applicant.
The Future Workforce Grant Program Committee, consisting of EON’s Advisory members, will determine the overall quality of each Grant application. Applications will be evaluated in accordance with the criteria outlined below. Additional consideration will be given to the Applicant’s potential for carrying out the project, the time commitment, and the adequacy of the justifications presented.
All applications will be forwarded to the Future Workforce Grant Program Committee for final approval and be reviewed within 14 days after receipt. If recommended for approval, it will be assigned a score by the Committee which will determine the amount to be received based on the merits of the application.
There are no financial obligations, binding commitments, or any liabilities with submitting the application. If your organization gets approved, you will receive a certificate which is valid for 14 days. During this time, you can approve or decline the offer letter and grant. After receiving your application, EON Reality will take time to go through the agreement with you.
For additional information, contact:
EON Reality Inc.
18 Technology Drive, Suite 173
Irvine, CA 92618
United States
949.460.2000
[email protected]
Once your application is admissible and eligible, EON’s Future Workforce Grant Program Committee follows the below evaluation criteria during the evaluation.
Proposals are evaluated and scored against selection and award criteria – organization excellence, impact on developing Spatial AI skills for the future workforce, quality and quantity of the Spatial AI deployment at scale, focus on creation of job opportunities for youth, and build entrepreneurship opportunities in the digital economy, and localized Content creation.
The Future Workforce Grant Program Committee will score each award criterion on a scale from 0 to 5 (half point scores may be given):
0 – Proposal fails to address the criterion
1 – Poor. The criterion is inadequately addressed or there are serious inherent weaknesses.
2 – Fair. The proposal broadly addresses the criterion, but there are significant weaknesses.
3 – Good. The proposal addresses the criterion well, but a number of shortcomings are present.
4 – Very good. The proposal addresses the criterion very well, but a small number of shortcomings are present.
5 – Excellent. The proposal successfully addresses all relevant aspects of the criterion. Any shortcomings are minor.