Why Invest in Obsidian Group?
Obsidian Group is pioneering AI-powered cybersecurity, penetration testing, and real-time threat intelligence—minimizing human involvement and maximizing automated intelligence for cyber defense.
The Cybersecurity Market Is Exploding
With cybercrime projected to cost the world $10.5 trillion annually by 2025, governments, enterprises, and financial institutions need advanced, scalable, AI-driven security solutions.
Obsidian Group is at the forefront of this shift—eliminating traditional manual cybersecurity efforts and replacing them with AI-driven, automated systems.
Where Your Investment Powers Innovation
Investing in Obsidian Group means fueling cutting-edge R&D, high-performance computing infrastructure, and next-generation AI threat intelligence models.
AI-Powered Cybersecurity R&D
- Developing self-learning AI penetration testing frameworks that require zero human input.
- Expanding zero-day exploit intelligence networks to predict and neutralize threats before they surface.
- Enhancing AI-driven forensic analysis to trace cyber intrusions within seconds.
High-Performance Computing & Server Infrastructure
- Mass IP Threat Monitoring Infrastructure: Analyzing millions of attacks per second requires advanced real-time data pipelines.
- Quantum & GPU-Based Processing: Investing in high-speed processing power to crack encryption, detect anomalies, and execute AI penetration tests in real time.
- Global AI-Driven SOC (Security Operations Center): Establishing AI-managed global threat intelligence centers for 24/7 cyber defense.
Scalable AI & Machine Learning Models
- Threat Behavior Analysis: AI that learns attack patterns and auto-adapts to new cyber threats.
- Automated Exploit Testing: AI-powered penetration tests continuously evolve based on live threat intelligence.
- Malware Detection & Reverse Engineering: AI automatically disassembles and studies malware, generating automated countermeasures.
Optimized Data Handling & Threat Intelligence Processing
- Massive Data Processing Capabilities: Handling petabytes of threat intelligence, network traffic, and penetration test results without performance bottlenecks.
- Optimized AI Algorithms for Large-Scale Analysis: Comparing real-time threats against global attack databases for instant detection.
- Self-Optimizing AI: Reducing manual intervention through automated model retraining.
Investment Structure & Total Cost Breakdown
Estimated Total Cost for Full Setup
Infrastructure & AI Hardware (High-Performance Computing & Data Processing)
| Item |
Quantity |
Unit Cost (USD) |
Total Cost (USD) |
| NVIDIA H100 Tensor Core GPUs (AI Training) |
16 |
$30,000 |
$480,000 |
| NVIDIA A100 GPUs (Data Processing & Threat Analysis) |
24 |
$12,000 |
$288,000 |
| AI Servers (Supermicro, Dell, HP Enterprise) |
10 |
$20,000 |
$200,000 |
| Blade Servers (Data Processing & Storage) |
5 |
$25,000 |
$125,000 |
| High-Speed NVMe Storage (10PB Cluster) |
1 |
$400,000 |
$400,000 |
| Network Switches (100Gbps Data Center Grade) |
6 |
$12,000 |
$72,000 |
| AI Security Firewalls (Palo Alto, Fortinet, Cisco) |
2 |
$50,000 |
$100,000 |
| Load Balancers (F5 Networks, Citrix, Cloudflare) |
2 |
$35,000 |
$70,000 |
| BGP Anycast Routing System |
1 |
$100,000 |
$100,000 |
| Redundant Power Backup & UPS System |
1 |
$50,000 |
$50,000 |
Total AI & Server Infrastructure: $1,885,000
Data Center & Hosting Costs
| Item |
Quantity |
Unit Cost (USD) |
Total Cost (USD) |
| Tier-3 Data Center Rack Space (Colocation, Cooling, Security) |
20 Racks |
$3,000/month |
$720,000/year |
| Dedicated 10Gbps Internet Backbone (BGP Routing for AI-Driven Traffic Analysis) |
1 |
$200,000 |
$200,000 |
| Cloud Storage & Backup (AWS, GCP, Azure Redundant Storage) |
1 |
$150,000 |
$150,000 |
Total Data Center Cost: $1,070,000
AI & Software Development (AI Threat Intelligence & Penetration Testing Model)
| Item |
Quantity |
Unit Cost (USD) |
Total Cost (USD) |
| AI Threat Intelligence Model R&D (Zero-Day Exploits, AI-Driven Penetration Testing) |
1 |
$500,000 |
$500,000 |
| AI Red Team & SOC Automation (Attack Simulation, Adaptive Hacking) |
1 |
$300,000 |
$300,000 |
| Data Handling Optimization & AI Processing Framework |
1 |
$250,000 |
$250,000 |
| Software Engineers & Cybersecurity Developers (Full-time for 2 years) |
6 |
$150,000 |
$900,000 |
Total AI Development & Software Cost: $1,950,000
Operational Expenses (Marketing, HR, Compliance, Legal, Admin)
| Item |
Quantity |
Unit Cost (USD) |
Total Cost (USD) |
| Executive & Admin Staff (CEO, CFO, COO, CISO, Compliance, Legal, HR, Accountant) |
8 |
$200,000 |
$1,600,000 |
| Marketing & Sales Team (Cybersecurity Sales, Investor Relations, PR) |
6 |
$120,000 |
$720,000 |
| Legal & Compliance (Cybersecurity Regulations, Government Contracts, Data Privacy Laws) |
1 |
$300,000 |
$300,000 |
Total Operational Cost: $2,620,000
Total Estimated Investment Needed
Grand Total: $7,525,000 USD
(Assuming a 2-year operational runway before break-even/profitability)
Investment Structure & Return Model
We have the total estimated investment at ~$7.5M, our structure shares for investors.
Share Price: $1,000 per unit
- Total Investment Needed: $7,525,000
- Total Share Units Available: 7,525 Units
- Investors Own a % Based on Shares Purchased
For example:
- If an investor buys 100 shares ($100,000) → They own ~1.33% of Obsidian Group.
- If an investor buys 500 shares ($500,000) → They own ~6.66% of Obsidian Group.
- If an investor buys 1,000 shares ($1M) → They own ~13.33% of Obsidian Group.
Return on Investment (ROI) Plan
Investors will make money in two ways:
Profit Sharing Model
- Investors receive a % of net profit based on shares owned.
- Profits are distributed quarterly or annually.
- Example: If Obsidian Group generates $50M in annual profit, and an investor owns 10% of shares, they receive $5M payout.
Future Buyout or Public Listing (IPO Exit Strategy)
- Obsidian Group can sell equity stakes to larger cybersecurity firms (Cisco, Palo Alto, Fortinet, CrowdStrike, etc.)
- Alternatively, we prepare for IPO listing within 5-7 years, allowing investors to cash out at a much higher valuation.
Why This Model is a Win-Win for our Investors?
- 🔹 Low Operational Costs – Since AI automates most of the cybersecurity processes, human resource expenses remain low, maximizing profit margins.
- Mass IP Threat Monitoring Revenue Model – Governments, banks, and enterprises pay subscription fees for real-time cyber threat monitoring, penetration testing, and digital forensics.
- Scalable Business Model – Once AI models are optimized, the same infrastructure can handle millions of clients without significant additional cost.
- Cybersecurity Market Growth – AI-driven cybersecurity is a trillion-dollar industry. Governments and corporations must invest in automated cybersecurity solutions to stay ahead of threats.
Investment Opportunities
We offer multiple investment models tailored for venture capitalists, institutional investors, and strategic technology partners:
- Equity Investment – Own a stake in the world’s first fully AI-driven cybersecurity enterprise.
- R&D Fund Sponsorship – Fund next-generation AI cybersecurity breakthroughs with potential for high returns.
- Joint Venture Partnerships – Collaborate on nation-state cybersecurity contracts, government surveillance projects, and enterprise AI security solutions.
- Data Monetization & AI Licensing – Monetize AI threat intelligence models for cybersecurity firms, law enforcement agencies, and financial institutions.
Why Obsidian Group?
- Fully Automated, AI-Powered Security – Minimal human intervention, reducing operational costs.
- First-Mover Advantage – The first cybersecurity firm to operate on 100% AI-driven penetration testing and mass threat intelligence monitoring.
- Global Reach & High-Growth Market – Enterprise, banking, and government sectors urgently require AI-powered cybersecurity solutions.
- Scalable AI Infrastructure – Designed for unlimited global cyber defense expansion.
Be part of the cybersecurity revolution.
Invest in the future of AI-driven cyber intelligence.