Capital Structure
Capital Structure for AI Infrastructure Investment and Development
CAT seeks to operate a structured investment and development model for AI infrastructure assets — combining institutional capital, project financing, and strategic partnerships to develop scalable, long-term infrastructure assets.
CAT is not a traditional service provider. CAT seeks to structure, develop, and operate AI infrastructure assets through SPV-based project financing and investment participation models. Indicative structures only; subject to due diligence and definitive agreements.
Revenue Model
How CAT Targets Value Creation
CAT targets value creation through multiple potential infrastructure-linked revenue streams spanning development, equity, compute monetization, yield, and strategic exits. The streams below are indicative and subject to due diligence, definitive agreements, and financing.
Infrastructure Development Margin
CAT seeks to develop AI infrastructure projects — GPU data centers, AI factories, cloud clusters — and targets development and structuring margins during execution. Indicative only.
Equity Participation in Assets
CAT may retain equity positions in select AI infrastructure SPVs, targeting long-term value appreciation and asset-based returns. Indicative only.
GPU Compute Monetization
Potential revenue from GPU compute leasing, AI training workloads, inference infrastructure usage, and enterprise AI cloud services. Indicative only.
Long-Term Infrastructure Yield
AI data centers are designed to operate as long-duration infrastructure assets intended to generate stable compute demand contracts and enterprise subscriptions. Indicative only.
Strategic Investment & Exit Value
Value potentially realised through asset refinancing, equity exit events, strategic acquisition of infrastructure assets, and institutional buyouts of SPVs. Indicative only.
Capital Deployment
How Capital is Structured and Deployed
CAT follows a multi-layer capital deployment framework combining SPVs, equity, debt, and strategic partners.
Layer 1 — Project SPVs
Each infrastructure project is structured as an independent Special Purpose Vehicle with legal separation per asset, ring-fenced risk, project-level financial modeling, and asset-specific governance.
Layer 2 — Equity Capital
Provided by CAT internal capital, strategic investors, family offices, and institutional investors. Used for infrastructure ownership and long-term asset participation.
Layer 3 — Debt / Project Financing
Used for infrastructure scaling via bank financing, infrastructure debt funds, equipment financing, and asset-backed lending.
Layer 4 — Strategic Infrastructure Partners
Includes data center operators, energy providers, technology partners, and GPU/hardware suppliers contributing to project execution.
Investment Structure
How Investors Participate
CAT enables structured participation through multiple investment models tailored to investor type, risk profile, and capital deployment preference.
Direct Equity Participation
Investors co-invest in SPVs owning AI infrastructure assets.
Project-Based Investment
Capital allocated to specific infrastructure developments: GPU data centers, AI cloud platforms, compute clusters.
Infrastructure Fund Structures
Aggregated capital deployment across multiple AI infrastructure assets (future layer).
Strategic Partnership Models
Technology + capital + infrastructure collaboration agreements.
Convertible Infrastructure Instruments
Hybrid capital instruments linked to infrastructure performance, deployment milestones, and revenue generation phases.
Risk Structure
Risk Management and Capital Protection
CAT structures investments with multiple risk mitigation layers to protect capital and ensure long-term asset performance.
SPV Isolation
Each asset is legally separated to isolate risk per project.
Asset-Backed Infrastructure
Capital deployed into tangible infrastructure: data centers, GPU clusters, energy infrastructure.
Multi-Phase Deployment
Capital released in phases: planning → construction → commissioning → operations.
Long-Term Contracting
Revenue stability supported through enterprise AI contracts, GPU leasing agreements, and cloud compute subscriptions.
Governance
Institutional Governance Framework
CAT follows structured governance for all infrastructure investments, ensuring capital discipline, transparency, and risk control.
Governance Layers
Objectives
Lifecycle
Lifecycle of an AI Infrastructure Asset
From structuring to exit, each AI infrastructure asset follows a phased value creation lifecycle.
Structuring
- · Project identification
- · Site selection
- · Energy and GPU planning
- · SPV formation
Capitalization
- · Equity + debt structuring
- · Investor onboarding
- · Financial modeling
Construction
- · Data center buildout
- · GPU deployment
- · Infrastructure integration
Operations
- · AI workload deployment
- · GPU monetization
- · Enterprise contracts
Exit / Expansion
- · Refinancing
- · Equity exit
- · Asset scaling
Why This Model
The Logic Behind CAT's Capital Model
CAT's structure aligns with global infrastructure investment principles.
Predictable long-term demand driven by AI compute growth
Asset-backed value creation with tangible infrastructure
Infrastructure scarcity economics in a supply-constrained market
Energy-constrained compute supply favouring power-advantaged corridors
Enterprise AI expansion cycles driving multi-year utilization
Investor Engagement
How to Participate
Investors may engage through direct project discussions, SPV participation, strategic partnerships, or infrastructure co-development.