Financial Value Assessment for OAI²

Core Financial Assumptions and Opportunities

1. Market Opportunity:
   • Global Edge AI Market: Estimated at $50 billion in 2023, projected to grow to $120 billion by 2028.
   • OAI² aims to address this market by providing open, ethical, and interoperable AI models, attracting governments, corporations, and academia.
2. Revenue Streams:
   • Membership Fees: Begin introducing tiered membership fees post-Founding Board establishment.
   • Certification Services: Revenue from certifying AI systems for compliance with OAI² ethical standards and interoperability guidelines.
   • Licensing Opportunities: Licensing fees for proprietary adaptations of OAI² frameworks by corporate members.
   • Government and Philanthropic Grants: Initial funding support to build the infrastructure.
3. Projected Revenues (Worst, Most Likely, and Best Case Scenarios):

Year	Worst Case	Most Likely	Best Case
Year 1	$250,000	$500,000	$850,000
Year 3	$1,700,000	$3,300,000	$4,500,000
Year 5	$6,000,000	$10,000,000	$13,500,000

4. Operating Expenses:
   • Research and Development: $500,000-$1,500,000 annually.
   • Administrative and Marketing: $300,000-$500,000 annually.
5. Net Profit Projections:
   • Break-even expected by Year 2 in the most likely scenario.
   • Profits reinvested into furthering ethical AI initiatives.

Social Value Assessment for OAI²

Alignment with IEEE Ethically Aligned Design (EAD)

1. Human Rights: Prioritizes privacy, equity, and autonomy through privacy-first AI frameworks.
2. Transparency: Open, object-oriented models ensure ethical transparency and public accountability.
3. Sustainability: Edge computing reduces environmental impact compared to cloud-based solutions.
4. Accountability: Built-in logging and certification systems mitigate risks and enhance trust.

Key Social Benefits

• Risk Mitigation: Certification processes reduce systemic risks in AI applications.
• Equity and Inclusion: Promotes affordable AI solutions and empowers underserved communities.
• Workforce Transition: Funds reinvested into job retraining and workforce development programs.
• Sustainability Metrics: Reduces carbon emissions through edge-based systems.

Social Value Metrics

• Certification Uptake: Number of certified systems ensuring compliance with ethical standards.
• Global Reach: Adoption of frameworks by organizations in developing regions.
• Workforce Impact: Number of individuals supported through retraining initiatives funded by OAI² revenues.

Financial Value Assessment for Simgeni

Core Financial Assumptions and Opportunities

1. Exclusive Focus on Personal Edge AI:
   • Leveraging the OAI² framework to develop proprietary models for Edge Personal Event Recognition and SGI applications.
2. Revenue Streams:
   • Licensing Fees: Proprietary Simgeni models for event recognition and cognitive architectures.
   • Product Sales: SGI-powered virtual and robotic devices.
   • Certification and Training: Programs to certify Simgeni products for interoperability.
   • Partnerships and Grants: Collaborations with governments and academic institutions.
3. Projected Revenues (Worst, Most Likely, and Best Case Scenarios):

Year	Worst Case	Most Likely	Best Case
Year 1	$185,000	$425,000	$850,000
Year 3	$1,700,000	$3,300,000	$4,500,000
Year 5	$6,000,000	$10,000,000	$13,500,000

4. Operating Expenses:
   • Research and Development: $250,000-$1,000,000 annually.
   • Administrative Costs: $150,000-$400,000 annually.
5. Net Profit Projections:
   • Break-even expected by Year 2-3 in the most likely scenario.
   • Excess revenues reinvested into social safety nets and workforce development.

Social Value Assessment for Simgeni

Mission-Driven Impact

1. Privacy and Security: Personal Edge AI ensures data remains secure and local, reducing risks of breaches.
2. Inclusivity: Affordable SGI devices empower individuals across diverse socio-economic groups.
3. Job Creation and Transition:
   • Simgeni revenues fund workforce retraining programs for industries disrupted by AI.

Alignment with Social Goals

• Sustainability: Focus on edge computing minimizes environmental impact.
• Global Equity: SGI technologies designed for equitable access, especially in underserved regions.
• Ethical Innovation: Promotes responsible AI development through adherence to OAI² standards.

Social Value Metrics

• Adoption Metrics: Number of personal edge devices deployed worldwide.
• Privacy Compliance: Percentage of products meeting or exceeding global privacy standards.
• Workforce Impact: Funds allocated to job transition programs and number of beneficiaries.

Conclusion

The financial and social value propositions for OAI² and Simgeni are deeply interwoven. Together, they present a compelling case for creating a sustainable, ethical AI infrastructure that balances profitability with global impact. By leveraging open, interoperable frameworks (OAI²) and proprietary, mission-driven innovations (Simgeni), the initiatives are well-positioned to address critical global challenges while achieving long-term financial sustainability.