EON Reality Inc.
18 Technology Drive, Suite 173
Irvine, CA 92618 United States
EON AI Impact & Development Program is a comprehensive grant and investment initiative aimed at facilitating the large-scale implementation of Spatial AI technology across government, academic, and community sectors.
This program is intricately aligned with the mission of the National Spatial AI Center to deploy Spatial AI technology at scale, create job opportunities, and foster the growth of a technologically skilled workforce.
It is designed to enhance safety and security and to strengthen community and social cohesion through innovative applications of Spatial AI.
This initiative directly supports the National Spatial AI Center’s commitment to:
The grant supports solutions and use cases that integrate AI with physical environments, offer personalized AI-driven assistance, and facilitate impactful learning, training, and performance programs across various industries.
The EON AI Impact & Development Program is intended to provide robust support for initiatives that directly contribute to the operationalization and success of the National Spatial AI Center. The program aims to:
By focusing on these purposes, the EON AI Impact & Development Program will help organizations to harness the transformative power of Spatial AI and achieve the tangible benefits of cost savings, increased productivity, and a competitive edge in a rapidly evolving global market.
Eligibility for the EON AI Impact & Development Grant Program is specifically designed to match the ambitious scope of the National Spatial AI Center’s deliverables. Therefore, applicants must demonstrate a readiness and capability to:
Upon approval of the application, the EON AI Impact & Development Program facilitates the establishment of the EON Spatial AI Center Hub in alignment with the National Spatial AI Center’s framework and deliverables. Here’s how the collaboration and rollout will unfold:
To align the grant process with the National Spatial AI Center’s objectives and deliverables, the following steps will be taken:
This structured approach ensures that the grant process is transparent, focused on deliverables, and leads to the successful implementation of the National Spatial AI Center’s objectives.
The EON AI Impact & Development Program Committee, composed of EON’s advisory members and experts in Spatial AI, will oversee the review and award process. The process is designed to ensure that each application’s potential to contribute to the National Spatial AI Center’s goals is thoroughly evaluated:
The review and award process is designed to be rigorous and fair, ensuring that the most capable and committed organizations receive the support necessary to contribute significantly to the National Spatial AI Center’s objectives.
The evaluation of applications will be grounded in a set of criteria that reflect the priorities and goals of the National Spatial AI Center:
These criteria are designed to identify projects that not only align with the goals of the National Spatial AI Center but also have the potential to create lasting change in their communities and sectors.
The EON AI Impact & Development Program Committee will evaluate each application based on the aforementioned criteria, assigning scores on a scale from 0 to 5, where:
Description: This section of the application is designed to evaluate your organization’s readiness and strategy to be a part of the National Roll-out Process for the Spatial AI Center. The process encompasses four key areas: Needs Assessment, Solution Matching, Deliverables, and Key Success Metrics, which are essential for the implementation and success of the Spatial AI Center in your region.
Needs Assessment: Your organization should conduct a thorough SWOT (Strengths, Weaknesses, Opportunities, Threats) Analysis in three critical areas:
Solution Matching: The next step is to match these needs with appropriate solutions:
Deliverables: Ensure your organization can meet the deliverables with:
Key Success Metrics: Finally, your organization must define clear success metrics in:
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