Sundancæ Research Inc.
Pricing
Investments

We raise to build compute, not to buy market share

Capital goes into GPU inventory, colocation and power, underwritten against rental revenue we can already forecast. Alongside that, we hold minority positions in operators outside of infrastructure entirely.

Talk to investor relationsFor operators
Owned fleet, by year
GPUs on the balance sheet, not rented from a hyperscaler
42
Y1
148
Y2
249
Y3
312
Now
CAGR since founding
+94% / yr
Thesis

Hardware is the asset, rental income is the yield

A GPU depreciates on a known schedule and earns rental income from the day it's racked. We underwrite each purchase against contracted and forecast utilisation before we buy it, not after; the fleet is sized to demand we can already see, plus a margin for growth we're confident in.

That's a different bet than most compute-adjacent raises, which fund a cloud bill paid to someone else. Every dollar here converts into equipment we hold the title to, in a site we have a direct power contract for. If the company stopped raising tomorrow, the fleet keeps earning.

$9.4M
Raised and deployed into hardware
312
GPUs owned outright across both sites
2
Sites under direct power contract
Rolling
Close schedule, not fixed vintages
Returns

How the yield actually works

Every tranche is sized to hardware, not to a target multiple. The math is simple enough to check yourself, which is the point.

Yield comes from utilisation, not appreciation; idle GPUs are the risk we underwrite against before buying.
Depreciation is straight-line over the hardware's rental life, so payback dates are set before a tranche closes.
Reserved and bare metal terms lock in a floor; on-demand pricing is the upside above it.
Worked example, current blended rate
A $500K tranche buys roughly 40 H100-equivalent GPUs at current hardware cost. At the fleet's blended utilisation, that's close to $11,200 a month in rental revenue before power and colocation, putting the hardware on pace to pay back its cost in under four years, with the GPUs still owned outright and earning after that.
How we raise

A rolling close, not a fixed vintage

We don't run a single annual round. Capital comes in as tranches, each sized to a specific hardware purchase and underwritten against the rental revenue that purchase is already forecast to earn.

That means the terms on offer at any given time reflect exactly what the next tranche is funding; there's no blended cap table story to explain, and no pressure to deploy capital faster than the fleet can absorb it responsibly.

GPU hardware
70%
Colocation & power
20%
Working capital
10%
Tranche
Closed
Amount
Use of funds
Initial tranche
Closed
$2.1M
Initial H100 / A100 fleet, InfiniBand fabric
Expansion tranche
Closed
$3.6M
Primary capacity increase, InfiniBand fabric
Expansion tranche II
Closed
$2.8M
L40S / 4090 density and power contract
Current tranche
Rolling
$0.9M closed to date
L40S capacity for render and inference
Governance

How the capital is protected

Infrastructure investing lives or dies on what happens if a raise underperforms. We underwrite conservatively and report often, so the answer is never a surprise.

Every dollar converts into GPUs we hold title to, not a service contract running on someone else's hardware.
Tranches are ring-fenced: capital raised for a later expansion doesn't cross-collateralize earlier inventory.
No project debt against the fleet; equipment is owned outright before it counts toward capacity.
Investors get monthly utilisation and revenue reporting per tranche, not a quarterly summary.
For operators

We invest across industries we don't operate in

Alongside infrastructure, we hold minority positions in companies well outside it. The common thread is a business past its first million in revenue with one function it can't build alone, usually engineering or data, occasionally both.

We supply capital and, where it helps, the same engineering team that builds our internal tools. It's a small program run by the same twenty-one people as everything else here, so we're selective about where we say yes.

Logistics
Industrial services
Consumer commerce
Financial software
Agriculture technology
Energy
Healthcare operations
Construction technology

What we look for

Past its first million in revenue, with a real customer base
Founder-operated, not looking for a board seat and a monthly check-in
One clear function it can't build or hire for alone, usually engineering or data
Comfortable with a minority position and a long hold

How it works

01
Intro call
30 minutes. We want to understand the business, not a pitch deck.
02
Diligence
Two to three weeks. We look at the numbers and the missing function up close.
03
Term sheet
A minority position, sized to what the business actually needs.
04
Close
Capital and, where it helps, engineering time, same team either way.