Investor Dashboard
Key financial KPIs at a glance — % against revenues in QuickBooks-statement style.
Revenue Mix · % of Top Line
Cost Structure · % of Operating Cost
Use of Funds · % of $45M Raise
Problem & Solution
Pre-leased 12MW IT capacity for AI inference workloads in the GCC
The Problem
AI inference workloads are exploding in the GCC but Tier-3+ data center capacity is 14–22 months back-ordered. Hyperscalers preferentially serve global clients, leaving regional enterprises, fintechs, and sovereign AI programs without compute access. The supply gap is driving rack-rental prices 38% above 2023 levels.
Our Solution
A modular Tier-3+ data center platform delivering 1.5MW pods on a 9-month buildout cycle vs the 22-month industry norm. Pre-engineered liquid-cooling for AI inference, GPU-optimized power density (40kW/rack), and sovereign-cloud certification for regional government workloads.
Market Opportunity
$48B GCC DC TAM addressable today
GCC data center capacity $9B (2025) → $24B (2030) · 22% CAGR · AI inference 45% of new demand
Co-location MRR per rack ($1,200–$2,400 depending on power density), GPU bare-metal hosting ($4.50/GPU-hour), managed cloud services (40% gross margin attach), and long-term reserved capacity contracts (5–7 year terms).
Financial Statements · % vs Revenue
QuickBooks-style readout — every line shown as percentage of its parent total.
Revenue Mix
| Revenue Stream | % of Revenue | Share |
|---|---|---|
| Co-location Rack Rentals | 45.0% | 45% |
| GPU Bare-Metal Hosting | 28.0% | 28% |
| Managed Cloud Services | 15.0% | 15% |
| Reserved Capacity Contracts | 12.0% | 12% |
| Total Revenue | 100.0% | 100% |
Cost Structure
| Cost Line | % of Cost | Share |
|---|---|---|
| Power & Cooling | 30.0% | 30% |
| Facility Depreciation | 22.0% | 22% |
| Engineering & Ops Staff | 18.0% | 18% |
| Connectivity / Bandwidth | 12.0% | 12% |
| Security & Compliance | 10.0% | 10% |
| G&A | 8.0% | 8% |
| Total Operating Cost | 100.0% | 100% |
Use of Funds — $45M Raise
| Allocation | % of Raise | Share |
|---|---|---|
| Pod 1 & 2 Buildout (CapEx Equity) | 55.0% | 55% |
| Power Substation & Backup | 18.0% | 18% |
| Engineering & Ops Hires | 12.0% | 12% |
| Compliance & Tier-3 Cert | 8.0% | 8% |
| Working Capital | 7.0% | 7% |
| Total Use of Funds | 100.0% | 100% |
Traction & Proof Points
- 12MW IT capacity pre-leased across 3 anchor customers (2 banks + 1 sovereign AI program)
- LOI from a top-3 GCC telco for 4MW reserved capacity over 7 years
- 9-month buildout cycle vs 22-month industry norm (modular advantage)
Moat & Exit Strategy
Defensible Moat
Pre-leased anchor tenants (3 customers covering 12MW) lock revenue before steel hits ground. Modular pod design compresses time-to-revenue by 13 months vs traditional builds — structural cost-of-capital advantage. Sovereign-cloud certification creates a regulated moat for government AI workloads.
Exit Path
Sale to a global data center platform (Equinix, Digital Realty, EdgeConneX) or regional infrastructure fund at 14–18x EBITDA on stabilized assets, or YieldCo IPO at $200M+ stabilized EBITDA within 6–8 years.
Key Risks
- Power-grid capacity constraints in target metros delaying buildout
- Hyperscaler entry compressing co-location pricing
- GPU supply allocation tied to NVIDIA / AMD distribution agreements