AI Compute Infrastructure Brokerage
The compute is ready. The capital is ready. The bottleneck is the ground it sits on.
We connect powered properties to committed AI compute buyers, and bring the financing that turns a matched site into live infrastructure — in a fraction of the usual timeline.
Why This Market Exists
Power decides where AI gets built. Almost no one is matching it to demand.
Every week, buyers with capital and committed demand fail to find a site that can actually be energized in time. Every week, owners of large, powered properties sit on assets they don't know qualify. Supply and demand exist on both sides of this market — they simply aren't finding each other. We built the connective layer in between.
Demand is outrunning supply
Compute buyers are moving faster than hyperscalers can build, and faster than most sites can be identified, diligenced, and energized.
Power is the real constraint
Interconnection queues and grid capacity — not chip supply — set the pace of new AI infrastructure. Sites with power in hand are the scarce asset.
Qualifying sites are hiding in plain sight
Dilapidated malls, closed distribution centers, shuttered plants, and retired campuses already have power, land, and structure. Most owners don't know what they're sitting on.
For Property Owners
Turn an underused asset into contracted, income-generating infrastructure.
Own a large property with power access — a closed mall, a shuttered distribution center, an idled plant, a retired campus? We evaluate it against real, committed AI compute demand, bring a financing partner who funds the buildout, and turn it into a contracted asset — with buyers and capital already in place.
Qualifying property types
- Dilapidated or closed malls
- Shuttered distribution centers
- Idled manufacturing or industrial sites
- Retired big-box retail
- Closed university or corporate campuses
- Other large-footprint properties with power access
- 01
Tell us about the site
Location, footprint, power access, and current status — a short intake, not a data room.
- 02
We assess viability
Power, interconnection, structure, and buyer fit, evaluated by people who understand the full economics.
- 03
We match capital and demand
A qualifying site is matched to committed buyer demand and our financing partner, who funds the buildout.
- 04
The site goes live
Infrastructure is racked, stacked, and energized under contract. Your asset starts generating income.
For Compute Buyers
GPUs-as-a-Service, or a fully financed dedicated site. Skip the hyperscaler queue either way.
Need compute at scale? We put you directly on GPU capacity — B300, GB300, and current-generation hardware — with no site or hardware ownership required. Need a dedicated footprint instead? We source powered sites globally, structure financing through our capital partner, and get infrastructure racked and running, without the wait lists.
What we help you secure
- GPUs-as-a-Service — capacity without owning the site or hardware
- Buy or lease dedicated GPU capacity at scale
- Secure long-term committed compute capacity
- Find a powered site to deploy owned hardware
- Structure financing for a build you've already identified
Be first in line for NVIDIA Vera Rubin.
We source current-generation GPUs today, and we're already tracking NVIDIA's next-generation Vera Rubin platform. Join the waitlist and we'll reach out the moment early capacity opens up.
- 01
Tell us what you need
Compute type, scale, timeline, and any constraints — region, power profile, contract structure.
- 02
We source matching sites
Drawing on a global pipeline of powered properties, vetted for viability, not just availability.
- 03
Financing gets structured
Our capital partner funds the buildout — GPUs racked and stacked, without you carrying the balance sheet risk.
- 04
Infrastructure goes live
Under contract terms you control, and in a fraction of the timeline a hyperscaler or ground-up build would take.
GPUs-as-a-Service
The platforms we're sourcing right now.
No site or hardware ownership required — tell us the scale and we'll tell you what's available.
NVIDIA B300
Air-cooled, data-center ready — highest-density Blackwell option for standard facilities.
NVIDIA GB300
Grace Blackwell, rack-scale NVL72 — built for the largest training and inference clusters.
NVIDIA Vera Rubin
Next-generation platform — we're already tracking allocation for early buyer access.
Why Work With Us
Big-shop expertise. Boutique speed.
Speed & agility
Direct access, fast decisions, no committees and no layers. We move while larger institutional shops are still scheduling the kickoff call — a decisive advantage for both sides of a deal.
Full-picture expertise
Real industry experience across GPU economics, power markets, financing structures, and site viability. Counterparties deal directly with people who understand the whole deal, not a single slice of it.
Global reach
We source sites and match demand across markets — not one region or one buyer list. Scale finds you the fit, wherever it is.
Committed demand in hand
We already work with real buyers actively looking for sites, and a financing partner ready to fund the buildout. A matched site isn't a hypothetical — it's a start.
How It Works
From handshake to live infrastructure, fast.
One process, run by one accountable team, from first conversation to energized site.
- 01
Source & qualify
A site or a buyer enters the pipeline and is vetted for power, viability, and fit.
- 02
Match
Paired against our live pipeline of powered sites on one side, committed demand on the other.
- 03
Structure financing
Our capital partner structures funding to acquire, rack, and stack the hardware.
- 04
Execute
Contracts are finalized directly between accountable counterparties — no unnecessary layers.
- 05
Go live
Infrastructure is energized: revenue for the site owner, capacity for the buyer.
The Market, By the Numbers
Independently sourced. Not self-reported.
0 GW
Stuck in U.S. interconnection queues — more than the entire grid's installed capacity
Lawrence Berkeley National Laboratory, "Queued Up" (2025/26)0+ yrs
Median wait to connect a new power project to the grid, up from under 2 years in the 2000s
Lawrence Berkeley National Laboratory, "Queued Up"0 TWh
Global data center electricity demand by 2030, roughly double 2025 levels
International Energy Agency, "Electricity 2026"$0.0T
Global data center capex needed by 2030 to keep pace with compute demand
McKinsey & Company, "The Cost of Compute"Who We Work With
Two sides of one market.
Property owners & their advisors
- Owners of closed malls and retail centers
- Logistics and distribution center owners
- Manufacturers with idled industrial sites
- Universities and institutions retiring campuses
- PE firms and REITs holding underused real assets
- Municipalities with surplus power-adjacent land
Compute buyers & builders
- AI labs and startups scaling training or inference
- Enterprises building private AI infrastructure
- Neocloud and GPU cloud operators expanding footprint
- GPU owners and resellers needing a site to deploy
- Investors seeking compute-backed real assets
Get In Touch
Tell us which side of the market you're on.
A short intake, reviewed directly by our team — no forms disappearing into a queue.