Saudi-majority venture in development

AI compute and intelligent energy infrastructure for Saudi Arabia.

A repeatable model for AI-ready powered campuses that treats compute, power, cooling, fibre and capital structure as one integrated system.

Explore the modelView the roadmap
30 MWfirst AI-compute campus target
~40 MWindicative facility demand depending on PUE
Riyadhecosystem base, with other suitable Saudi locations under consideration
Why now

AI growth is power growth.

Saudi Arabia is moving from hosting data toward exporting AI compute. The execution challenge is powered infrastructure: land, energy, cooling, fibre and customer demand must line up before heavy capital is committed.

Power pathway

Large AI loads require reliable, scalable electrical capacity. Grid strategy, private generation, solar and storage must be assessed early.

Fibre diversity

Carrier-neutral connectivity and physically diverse routes are essential for serious AI and cloud infrastructure.

Capital discipline

Large assets should become ring-fenced projects when mature, leaving the core company scalable and focused.

Our solution

A technology company first. Powered campuses as deployment.

The core venture develops the site intelligence, energy model, campus optimisation roadmap and repeatable playbook. Individual infrastructure assets can later be financed through project SPVs.

Core technology company

Development methodology, technology roadmap, site intelligence, partner relationships and operating model.

Integrated energy layer

Grid strategy, private generation options, solar, BESS, resilience and cooling planned alongside AI compute.

Campus optimiser

A development roadmap for workload, energy, cooling and storage optimisation as the platform matures.

Repeatable SPV model

Ring-fenced data-centre, energy and future campus vehicles once specific deployments become financeable.

First proof point

30 MW AI-compute campus.

The first campus is a working deployment model for customer discovery, site screening and partner discussions. It is not yet secured and remains subject to site, power, fibre, licensing and financing.

30 MWTarget IT load. Approximate total facility demand may be around 40 MW depending on PUE and final design.

Power and fibre choose the land

Screen grid, gas, solar and fibre overlap before committing to land.

Anchor demand before heavy capex

Engage AI buyers, operators, infrastructure funds and energy partners before major capital is deployed.

Scaling model

Keep the core scalable. Finance the assets separately.

Core Technology Company

Technology roadmap, origination, site intelligence and operating methodology.

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30 MW DC / Energy SPVs

Ring-fenced financing and delivery of the first campus and energy assets.

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Future Campus SPVs

Repeat the model across suitable Saudi locations as opportunities mature.

18-24 month roadmap

From ecosystem entry to deployment readiness.

0-90 daysGarage ecosystem entry, founder/customer discovery, programme fit, activity-code and corporate-route clarification.
3-6 monthsPrototype site-energy-compute evaluation model and shortlist candidate Saudi zones.
6-12 monthsTechnical pre-feasibility, conditional site control where appropriate, and anchor partner/customer discussions.
12-24 monthsPreferred first-campus route, project SPV, financing workstream, licensing/permitting plan and deployment readiness.
Status: Saudi AI Infra is a venture in development. It is not claiming a secured campus, completed software platform or guaranteed regulatory route. Site, power, fibre, technology implementation, licensing, financing and ownership amendments remain subject to validation and approvals.