NEO HARVEST AI

Neo Harvest AI

Intelligence is made of energy. We harvest it.

Every token, every inference, every training run resolves to electricity delivered at a particular place on a particular date. Neo Harvest AI develops the power, builds the campus, and operates the compute — one company holding the whole chain, from the fuel in the ground to the workload on the accelerator.

The age we are in

The constraint has moved from capital to energy.

For most of the last decade, the limit on computing was money and silicon. Both are now flowing freely. What is not flowing is power — permitted, energized, and available on a date somebody is willing to sign against.

The arithmetic is unforgiving. A data center can be built in one to three years. The transmission and generation to feed it takes five to fifteen. Demand is compounding on the fast clock; supply is compounding on the slow one. That gap is the entire market.

>$400B big tech capital spend in 2025 With a further sharp increase expected through 2026.
5–15 yrs to build grid, against 1 to 3 for a data center Global data center electricity demand roughly doubles between 2025 and 2030.
<1% vacancy, three years running The overwhelming majority of capacity under construction is already pre-leased.
What follows

The near-term shortfall gets filled by whoever already holds the site, the permit and the fuel.

Figures drawn from published agency and industry research, including the IEA and commercial real estate market reporting.

Where we begin

So we start at the source.

Most developers begin at the building and work backwards, hoping a utility will meet them. We begin at the energy and work forwards. Developing our own powered land — rather than bidding for someone else's, or joining an interconnection queue — is the scarce capability in this market, and it decides everything downstream: which sites are reachable at all, how fast they energize, and whether the next expansion runs on our schedule or somebody else's.

There are two ways we get to power, and we screen every site for both.

Route A

Generation we build and own

Owned generation sized to the load, on sites chosen for abundant low-cost fuel and constructive permitting. Nothing drawn from the grid and nothing exported to it — so there is no queue to wait in, and the schedule is ours to control.

Route B

Utility connection, generation behind the meter

Grid-supplied load on a screened, already-existing connection path, with generation added behind the meter to carry growth beyond what the connection supports. The tariff sets the floor; the generation we build lifts the ceiling.

What both share

Neither route waits in an interconnection queue.

The chain

One chain, one owner, one signature.

Energy becomes intelligence through three links. Conventionally each link is a different company: a land developer sells powered land, a data center developer leases the building to a cloud provider, and the cloud provider sells compute to the lab that turns it into tokens. Three transactions, four counterparties, each with its own negotiation, diligence and financing — and together they take years.

We hold all three links, so they are one transaction.

The consequence

The customer signs once rather than three times, which is what takes the timeline from years to weeks.

Execution

Built in parallel, not in sequence.

Holding the whole chain only helps if the chain moves. Three things keep the delivery date real.

Modular and prefabricated

Design and prefabrication let the building blocks be manufactured in parallel rather than in sequence.

Direct supply chain

Global sourcing from power generation through to compute, held directly rather than through intermediaries, to protect lead times and cost.

Single accountable schedule

Integration and commissioning run on one schedule, with one party answerable for the date.

Team

Who is building Neo Harvest AI

Compute delivery and power bankability usually sit at two companies negotiating with each other across a table. Here they sit at one.

Fangfei Chen

Cloud and data center

A career spent building and operating global data center capacity and infrastructure engineering organizations for internet-scale platforms, including large-scale accelerator deployments.

Cheng Chang

Power and bankability

A career spent originating and closing large-load power and infrastructure transactions with energy developers, utilities and financial counterparties.

Contact

Tell us what you need energized, and when.

We work with hyperscalers, AI labs, energy developers and infrastructure investors. If you have a load looking for power, or power looking for a load, we should talk.