Open to Strategic Partners

Whoever Controls
Compute Controls the Future

NeuralPool is raising capital to acquire and build AI data centers in geographically sovereign locations — physical infrastructure positioned outside the reach of the geopolitical risks threatening centralized hyperscale compute.

Contact Investor Relations View Thesis
$100B+
AI Compute TAM by 2027
South America
First data center locations — outside US risk zone
Owned
Physical assets, not platform-as-a-service
Multi-Site
Distributed across multiple jurisdictions

The case for decentralized, geographically sovereign AI compute

This isn't just a bet on AI — it's a bet on where the world is heading and who will control its most critical infrastructure.

🌍

Compute Is the New Oil

Whoever controls AI computing power controls the future — economically and strategically. Today that power is concentrated in the hands of a handful of hyperscalers, almost entirely inside the United States.

⚠️

Centralization Is a Liability

As the world shifts from a unipolar to a multipolar order, the massive hyperscale data centers underpinning the American economy and military become high-value targets — for cyberattack, and potentially physical disruption.

🌎

South America: Out of Harm's Way

NeuralPool is building some of the first AI data centers in South America — politically neutral territory, outside the direct line of geopolitical conflict, with access to abundant low-cost energy and growing connectivity.

🛡️

Resilience as a Moat

If first-world data centers are ever taken offline — through conflict, regulation, or attack — NeuralPool's distributed, internationally located infrastructure could become some of the most valuable computing real estate on earth.

The opportunity in plain terms:

NeuralPool is acquiring physical land, power contracts, and GPU hardware to stand up its own AI data centers. Capital from this raise goes directly into facility buildout — power infrastructure, racks, cooling, networking, and GPU procurement — not into marketing or speculative software.

Early investors aren't just buying exposure to AI infrastructure growth — they're positioning for a scenario where resilient, geographically sovereign compute becomes irreplaceable.

Where the capital goes

Every dollar raised is allocated to physical infrastructure and the operations needed to bring it online.

~55%
GPU procurement (NVIDIA H100 / H200 / RTX‑class)
~20%
Land, facility build, power & cooling
~15%
Networking, security, on-site operations
~10%
Working capital and energy contracts

Phased Buildout

PhaseSiteTarget CapacityStatus
Phase 1South America — Site APilot facility · ~1MWSite selection
Phase 2South America — Site BProduction · 5–10MWPlanned
Phase 3Additional jurisdictionsMulti-site, 25MW+Planned

How the data centers earn

NeuralPool's owned facilities sell GPU capacity directly into a global market for AI inference and training — at margins that decentralized supply alone can't reach.

🏢

Enterprise GPU Rental

Owned racks rent GPU hours to AI labs, agencies, and developers in USDC and fiat. Owned hardware means owned margin — every hour a card is utilized is direct top-line revenue back to the company.

⚙️

Inference API

The same hardware powers a metered inference API for hosted AI models — recurring usage-based revenue from developers who never touch a GPU directly.

🔌

Capacity Contracts

Long-term capacity reservations with enterprise customers — predictable cash flow underwriting the cost of additional buildout.

Where we are, where we're going

Building in public with a clear, phased rollout.

Done

Foundation

neuralpool.io live · GPU mining + rental software stack · operational dashboard · early supply-side network

In Progress

Capital Raise + Site Selection

Strategic investor conversations · South American site evaluation · power and land term sheets

Phase 1

Pilot Data Center Online

First owned facility energized · initial GPU racks installed · live capacity sold into NeuralPool network

Phase 2

Production Scale

Multi-MW production facility · enterprise SLAs · long-term capacity contracts with AI customers

Phase 3

Multi-Site Expansion

Additional jurisdictions · redundant geographic footprint · institutional compute partnerships

Why NeuralPool wins

Centralized GPU clouds and existing decentralized projects leave the table unset for us.

vs. AWS / Azure

Lower-cost infrastructure in jurisdictions with cheaper energy and land. No account lockup, instant provisioning, geographically distributed with no single point of failure.

🌐

vs. Pure DePIN

Decentralized GPU networks rely on consumer hardware that can disappear at any moment. NeuralPool combines that long tail of supply with owned, enterprise-grade facilities that customers can actually contract against.

🏛️

vs. Centralized Buildouts

Hyperscalers are doubling down inside high-risk regions. NeuralPool starts from the opposite premise — geographic diversification first, scale second. Resilience is the product.

If this vision interests you,
reach out to our team.

We're having conversations with strategic investors, infrastructure partners, and anyone who sees what we see in the future of sovereign AI compute. We respond within 48 hours.

investors@neuralpool.io Telegram

This page is informational and does not constitute an offer to sell securities. Any investment offering will be made only to qualified investors under applicable exemptions and through formal documentation. Projections are not guarantees of future results.