GradeZOO AI Infrastructure Network — Start in Lagos. Sell to the world.

The gap

Access to models is easy now. Running them in production still isn’t.

A team can reach a powerful model in an afternoon and still struggle for months to run it reliably, securely, and affordably.

GPU availability

Capacity is expensive, fragmented across providers, or simply unavailable when a project needs it.

Deployment

Turning a model into a working product needs containers, APIs, monitoring, and security — work most teams don’t want to own.

Reliability

Production customers can’t build a business on infrastructure that disappears the moment demand rises.

Data and location

Some workloads need real control over where data is processed and stored, not just where it’s convenient.

Operating cost

Performance, price, power, and uptime pull against each other constantly — someone has to own that trade-off.

What we’re building

One platform. Multiple ways to run AI.

Not a GPU marketplace, and not another AI demo — a managed layer between advanced AI technology and the businesses that need to run it dependably.

Dedicated AI compute

Reserved GPU capacity for teams that need predictable, always-on access instead of spot availability.

Managed AI

We handle deployment, infrastructure, and monitoring so your team can stay focused on the product.

Inference & APIs

Turn a model into a production-ready service without building the entire infrastructure stack yourself.

Fine-tuning & model workloads

Training, adaptation, evaluation, and specialised workloads run on reserved hardware.

Generative media

Image, video, and rendering workloads that need GPU-intensive, sustained processing.

Private AI

Isolated environments for organisations that need stronger security, privacy, and infrastructure governance.

The customer buys the outcome. GradeZOO owns the infrastructure behind it — combining GPUs we own, colocation capacity, and partner cloud, routed by price, latency, and data requirements, while the customer sees one service.

The build-out

A staged path, not a single bet.

The first deployment is intentionally small. Each stage is funded by evidence from the one before it, not by capital sitting idle.

5 GPUs

Prove demand, operations, and unit economics with a founding customer cohort.

→

10 GPUs

Expand once utilisation and contracted demand justify the next tranche of hardware.

→

20 GPUs

Add geographic resilience and capacity as recurring revenue supports it.

→

Federated network

Owned capacity plus colocation and partner cloud, routed as one GradeZOO service.

Why we can compete

We’re not trying to win by being a cheaper GPU.

Hyperscalers have scale. GPU marketplaces have liquidity. African cloud providers are expanding fast. We compete on what happens around the GPU, not just its hourly price.

Deployment

Fully managed, not self-serve

Capacity

Reserved & dedicated by default

Geography

Flexible data location

Power

Solar-assisted, power-aware

Current position

What’s real today, stated plainly.

We’d rather show you an honest starting point than an inflated one.

Existing solar inverter and battery installation at the GradeZOO Lagos site, showing an AFRICELL AFHB-6.2K-PL hybrid inverter and EK battery unit

The existing installation at the intended Lagos deployment site: an AFRICELL AFHB-6.2K-PL hybrid solar inverter and an EK battery unit. This is a real starting base — not yet validated for continuous multi-GPU load.

Operating entityGradeZOO Limited, Nigeria

CAC registrationRC 1605743

Incorporated31 Jul 2019

Existing power assetSolar + hybrid inverter + battery

First deploymentUp to 5 GPU nodes

Proving nowLOIs, benchmarks, power validation

Before the first full deployment we validate solar generation, battery capacity, electrical headroom, cooling, connectivity, and physical security — and we size the raise around what that validation shows, not around an assumption.

Indicative pricing

What customers can expect to pay.

Planning targets for validation with founding customers — not published rate cards or guaranteed pricing.

Service	Description	Target price
Dedicated RTX 4090	Reserved node, full-time access	$699 – $899 / mo
Dedicated RTX 5090	Reserved node, higher VRAM workloads	$899 – $1,299 / mo
Managed AI endpoint	Deployed, monitored inference API	$500 – $2,500 / mo + usage
AI / fine-tuning project	Scoped training or adaptation work	$750 – $5,000+
Rendering / batch workloads	Generative media, 3D, video	$500 – $5,000+
Private enterprise AI	Isolated environment, SLA-backed	$2,000 – $10,000+ / mo

Final pricing depends on workload, configuration, capacity, and SLA requirements, and will be set from real customer conversations rather than assumed in advance.

The ask

The Founding Proof Round.

This round proves a repeatable model on five GPUs — it isn’t sized to build twenty at once.

$75,000

Target raise · minimum close $25,000

Structure to be confirmed with counsel before any capital changes hands — equity, a revenue-share note, or a project SPV, depending on investor and jurisdiction. No return is promised or guaranteed.

Compute hardware60%

Power & cooling12%

Networking & security8%

Commissioning8%

Working capital7%

Legal & compliance5%

Grants & non-dilutive programmes Asset financing Angel investors Diaspora capital Strategic / infrastructure partners

Next 90 days

The rule is simple: evidence unlocks the next stage, not the calendar.

Days 1–30 — Discovery & validation

Customer discovery, 3–5 LOIs, supplier quotations, technical benchmarks, power and cooling design.

Days 31–60 — Pilot deployment

First hardware commissioned, model integrations, technical benchmarking, first paid workloads on the platform.

Days 61–90 — Recurring revenue

Recurring contracts, utilisation data, MRR evidence, uptime and energy measurements — the basis for the expansion decision.

Who we’re looking for

The right people around the table.

Investors

People who understand AI infrastructure, technology, and African markets.

Grant & non-dilutive partners

Programmes supporting AI, digital infrastructure, energy, and African entrepreneurship.

Design customers

Teams willing to validate real workloads and become early, referenceable customers.

Strategic partners

Cloud, colocation, hardware, energy, and distribution partners.

Technical talent

AI/ML, infrastructure, DevOps, security, and product expertise.

Get in touch

Powerful AI is becoming accessible. The infrastructure to make it reliable is the next opportunity.

Nigeria is our infrastructure base. The world is our customer market.

For investors

Review the business, financial model, infrastructure plan, and funding strategy.

Request the investor brief

For enterprise customers

Tell us what you’re building and what compute you need.

Book a technical call

For strategic partners

Explore infrastructure, cloud, energy, and distribution partnerships.

Become a partner

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Nothing on this page is an offer or guarantee of investment returns. Financing terms are subject to legal, regulatory, and tax review.