Executive Summary: "Bridging Technological Generations"

 

Executive Summary: "Bridging Technological Generations"

Equitus.us seeks $10 million in funding to drive growth, pay down debt, and develop Existing products. 

Equitus.us flagship products, KGNN and EVS, address critical System Integration, Data Quality, and AI challenges facing Enterprise Systems. 

Equitus.us, originally developed for Military Intelligence use KGNN is now Poised to Provide Ai solutions for IBM's next generation Products and Services. Equitus Revenues are projected to grow substantially as an IBM Integrated Software Vendor (ISV).   Enterprises increasingly are searching for Reliable Cost Effective Ai Products and Services.  Enterprises are demanding IBM Ai for Systems Integrations, Data Normalization and Ai Challenge solutions. 

Acting to Bridge Technical Generations, Equitus is set to Derive multiple Revenue Sources, primarily from enabling IBM Cloud Users (X86) to connect onto IBM Ai services Watson X and Granite LLM to run on IBM Power 10  (MMA) Servers.

  

IBM has proposed to market KGNN, to IBM Cloud Customers to migrate and integrate their systems with Power 10 Servers with Watson X and Granite Ai services. Sold as "PowerGraph", Equitus will empower massive demand for IBM Ai. 

Common to Enterprise Users today is the desire to "Unlock Unified Understanding":  Equitus has developed the world's first Knowledge Graph Neural Network (KGNN) platform, designed to revolutionize data unification and analysis. 

 

Market Opportunity:

- Commercial: IBM has 180,000 Worldwide Clients, Equitus.us PowerGraph, Technological Bridge to interconnect its clients by "BRIDGING TECHNOLOGICAL GENERATIONS". Equitus.us KGNNales are projected to accrue at $25,000 revenue/ Power 10 server sold, with total revenues ranging from $80-250 million per year.

- Government: Customs Border Protection (CBP) are being installed along the U.S. Border and are positioned for as a solid foundation for expansion.

- Military: Veterans Administration, NT Concepts, and DoD partnerships offer opportunities for growth.  Integrations of multiple Data Sources to Generate Real-Time Intelligence for multiple agencies and Military Industrial Companies.

Product Strategy:

1. KGNN: Continue to enhance our flagship product, addressing data unification, quality, and AI challenges.

2. EVS: Expand our event-driven architecture product, focusing on real-time analytics and decision-making.

3. New Products: Develop innovative solutions leveraging AI, machine learning, and data analytics.

Business Model:

- Revenue Streams: Software licenses, subscription-based services, professional services, and IBM Bridge sales.

- Gross Margin: 70-80%

- Operating Expenses: $10-15 million (depending on growth rate)

Traction:

- IBM Partnership: Strong sales projections and joint go-to-market strategy.

- Government Contracts: Established relationships with Customs Border Protection and County Systems.

- Military Partnerships: Ongoing collaborations with Veterans Administration, NT Concepts, and DoD.

Management Team:

- CEO: Experienced leader in AI, data analytics, and software development.

- CTO: Technical expert in KGNN, EVS, and AI technologies.

- Sales/Marketing: Proven team with strong industry connections.

Financial Projections:

- Revenue Growth: $80-250 million (next 3-5 years)

- EBITDA: 20-30%

- Exit Opportunities: IPO, strategic acquisition, or merger

Use of Funds:

1. Debt Repayment: $2-3 million

2. Business Development: $3-4 million

3. New Product Development: $2-3 million

4. Hiring and Expansion: $2-3 million

Conclusion:

Equitus.us offers a compelling investment opportunity, with a strong revenue mix, growing market demand, and a talented management team. We believe our KGNN and EVS products, combined with new product development and IBM Bridge sales, will drive significant growth and returns on investment

Equitus.ai, a pioneering company in AI and data intelligence, is seeking $10 million in funding to retire debt, cover general and administrative expenses, and further develop its innovative software products. The company's two main products, KGNN (Knowledge Graph Neural Network) and EVS (Equitus Video Sentinel), are at the forefront of AI technology and have garnered significant interest from both government and commercial sectors.

KGNN is the world's first Knowledge Graph Neural Network platform, designed to revolutionize data unification and analysis13. It offers:

• Automated data integration and structuring

• Advanced semantic reasoning

• Real-time learning and inference capabilities

• Flexible deployment options (on-premise or cloud)

EVS is an AI-driven video analytics platform that transforms video data into actionable intelligence4. Key features include:

• Real-time object detection and classification

• Advanced pattern recognition and anomaly detection

• Seamless integration with existing security infrastructure

1. EVS is being used as a subcontracted service with IBM on the U.S. Customs and Border Protection (CBP) Southern Border project.

2. EVS is being proposed for an RFP for AI Stations from AMTRAK.

3. Military consulting and departments such as Lockheed Martin and Leidos are in partnership discussions for KGNN-based AI Information Systems Improvements.

The primary revenue stream is expected to come from a "white label" partnership with IBM56. This partnership aims to:

1. Connect legacy X86 systems to IBM Power10 servers for IBM cloud and consulting clients.

2. Implement AI programs for enterprise banking, insurance, and healthcare companies using KGNN.

1. Systems Integration: Seamlessly integrate diverse data sources and systems.

2. Data Quality: Enhance data accuracy, completeness, and consistency.

3. AI Challenges: Address and overcome common AI implementation hurdles.

The $10 million funding will be used for:

1. Debt retirement

2. General and administrative expenses

3. Further development of KGNN and EVS software products

1. Unique Technology: KGNN is the first of its kind, offering unparalleled data unification and analysis capabilities3.

2. Edge Computing Efficiency: Both KGNN and EVS can operate efficiently at the edge without requiring GPUs, thanks to IBM Power10's Matrix Math Accelerator58.

3. Proven Track Record: Equitus AI has a history of solving complex problems for the Army, Special Operations Command (SOCOM), and the Department of Defense (DoD)7.

The partnership with IBM opens up significant opportunities in enterprise banking, insurance, and healthcare sectors. These industries face challenges with legacy systems, data silos, and the need for advanced AI capabilities, which Equitus.ai's solutions are uniquely positioned to address.

Conclusion

Equitus.ai's innovative products, strong partnerships, and market positioning make it an attractive investment opportunity. The $10 million funding will enable the company to capitalize on its technological advantages and expand its market presence, particularly through the strategic partnership with IBM.

Citations:

1. https://equitus.ai
2. https://www.youtube.com/watch?v=AU13mnPe1VE
3. https://www.youtube.com/watch?v=INJlXJwnKXI
4. https://www.linkedin.com/posts/equitus_ai-videoanalytics-surveillance-activity-7275211256205066240-3GI1
5. https://nas01.tallpaul.net/wordpress/2024/10/equitus-ai/
6. https://www.linkedin.com/posts/equitus_kgnn-equitus-ibm-activity-7293631863762354176-zn8S
7. https://www.einpresswire.com/article/686901482/equitus-ai-unveils-kgnn-kajun-the-first-ever-knowledge-graph-neural-network-platform
8. https://www.linkedin.com/posts/equitus_new-ibm-power-server-extends-ai-workloads-activity-7196221341862166528-gkgT
9. https://www.ncsi.com/event/uscentcom/equitus/
10. https://www.prnewswire.com/news-releases/aiceberg-secures-10-million-in-seed-funding-to-transform-ai-from-a-business-risk-to-a-competitive-advantage-302393452.html
11. https://www.linkedin.com/in/markwrigney
12. https://newsroom.ibm.com/Blog-New-IBM-Power-server-extends-AI-workloads-from-core-to-cloud-to-edge-for-added-business-value-across-industries
13. https://www.cbinsights.com/company/equitus
14. https://equitus.ai/kgnn-knowledge-graph-neural-network/
15. https://newsroom.ibm.com/blog-IBM-is-equipping-the-next-generation-of-student-developers-across-universities-with-AI-skills
16. https://in.newsroom.ibm.com/2023-05-26-Equitas-IBM-collaboration
17. https://www.prnewswire.com/news-releases/coeptis-completes-10-million-series-a-preferred-financing-round-reinforcing-commitment-to-technological-innovation-and-ai-integration-302369957.html
18. https://hyperwriteai.com/aitools/proposal-generator
19. https://www.linkedin.com/posts/dominiqueanderson_knowledgeassembly-dataenrichment-agileprocesses-activity-7212210751766175744-HyXl
20. https://www.fintechfutures.com/2018/09/virtual-money-assistant-cleo-really-gets-10m-funding/
21. https://www.youtube.com/watch?v=Ik3-xsD0BQI
22. https://equitus.ai/coven-2/
23. https://equitus.ai/2024/05/equitus-ai-shines-at-sof-week-2024-empowering-defense-and-commercial-organizations-with-advanced-ai-solutions/
24. https://www.youtube.com/watch?v=qaegg1B5JQ4
25. https://www.business-standard.com/companies/news/equitas-sfb-collaborates-with-ibm-to-build-digital-banking-platform-123052700521_1.html
26. https://esgnews.com/ibm-and-undp-launch-new-tools-to-forecast-energy-access-and-model-energy-equity/
27. https://www.equinix.com/newsroom/press-releases/2019/06/equinix-expands-collaboration-with-ibm-cloud
28. https://www.healthit.gov/sites/default/files/facas/2022-03-10-Irene_Dankwa-Mullan_Presentation_1.pdf
29. https://www.channelfutures.com/cloud/equinix-ibm-expand-hybrid-cloud-deployment-partnership

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