Private AI infrastructure that never leaves the building.

A hardened, biometric-secured, remotely-managed compute node for the organizations that cannot put their data in someone else's cloud — hospitals, banks, law firms, municipalities, defense suppliers, and the people who run them.

See the pilot Read the numbers first

1,500sq ft pilot

16GPUs, H100-class

150 kWinstalled capacity

99.9%availability SLA

$3.4Mpilot cost, base case

The problem

The AI buildout skipped everyone under a megawatt.

A regulated organization with data it cannot export has three options today, and all three are bad: send it to a public cloud and absorb the compliance exposure, build its own GPU room at $9–14M per megawatt with engineers it cannot hire, or do nothing. Most choose nothing.

What a vault is

A hardened room

Reinforced slab at 250 psf, ballistic-rated door, mantrap entry, tamper sensors on every rack and cable tray, clean-agent suppression, acoustic isolation. Built to a repeatable construction package, not as a one-off.

What runs in it

A private cluster

Sixteen H100-class GPUs, 500 TB of NVMe, 400G fabric, per-tenant isolation at the network, storage, and key layers. Kubernetes orchestration, private model hosting, an inference gateway that never touches the public internet.

What you actually buy

An evidence chain

Every door open, every key use, every workload, every packet — logged to an immutable store you can hand to an auditor. The compute is the excuse. The proof is the product.

Configurations

Three builds were evaluated. One is credible to an enterprise buyer.

All pricing below is a planning assumption pending vendor confirmation. No quotes have been obtained and none are implied.

	Entry inference	Mid-tier private AI — selected	Training + inference
GPU class	8 × L40S-class	16 × H100/H200-class	32 × H200/B200-class
Servers	1 × 8-GPU	2 × 8-GPU	4 × 8-GPU
Rack density	~6 kW	~12 kW / rack	~30–40 kW / rack
Storage	100 TB NVMe	500 TB NVMe + 1 PB object	1 PB NVMe + 3 PB object
IT load	~8 kW	~25 kW	~90 kW
Compute capex	~$110k	~$862k	~$1.9M
Cooling	In-row DX	Rear-door HX, N+1, liquid-ready	Direct-to-chip
Fits a remodel?	Yes	Yes — no new utility feeder	No

H100-class is the credibility floor for a regulated buyer, the workload is inference and fine-tuning rather than frontier training, and 25 kW of IT load can be powered and cooled inside a leased shell. That is the whole argument for the middle column.

Security & compliance

Identity is the perimeter. Everything else is a wall around it.

Physical

Four layers to the rack

Perimeter → mantrap → cage → rack. Face and fingerprint at the exterior. Palm-vein at the mantrap, chosen for liveness detection and low spoof rate. Iris only where a customer's own standard requires it. Full-coverage video, 90-day retention, tied to the same audit log as everything else.

Digital

Zero trust, continuously

Hardware root of trust and measured boot on every node. An out-of-band management plane on physically separate cabling with no public route. Keys in an HSM. Continuous authentication — a session that stops proving who it is stops running.

Certified for the pilot

SOC 2 · HIPAA · NIST CSF

SOC 2 Type I before commercial launch, Type II by month 18. HIPAA with a signed BAA for medical tenants. NIST CSF as the operating framework from day one.

Not yet — and we will say so

CMMC · CJIS · FedRAMP

Designed toward CMMC Level 2 and CJIS, but not certified. FedRAMP is out of reach at this stage and pretending otherwise costs credibility with the only buyers who ask. We tell defense and law-enforcement prospects the truth in the first meeting.

The economics

Here is the number that kills the obvious version of this business.

Most pitches in this category model a GPU room renting capacity by the hour. We modeled it too. It does not close, and the honest thing to do is show you on the front page rather than let you find it in diligence.

Merchant GPU-hour model · 16 GPUs · pilot fixed cost base Result: fails

Annual GPU revenue = GPUs × 8,760 hrs × utilization × $/GPU-hr
= 16 × 8,760 × 0.50 × $2.25 = $157,680

Annual cost of the compute asset (power, depreciation over 3 yrs, support, software, connectivity, allocated facility)
= $620,004

Break-even utilization = total annual cost ÷ (GPUs × 8,760 × price)
= $620,004 ÷ $315,360 = 197% — impossible

Cyber Vaults will not sell GPU-hours. Competing on price per GPU-hour against hyperscalers and neoclouds is a losing trade at any scale we will ever reach. Any plan that depends on it should be rejected.

Managed private AI contract · same 16 GPUs · 65% contracted utilization Result: works

Compute + security + compliance + SLA, sold as one contract
effective rate $6.50 / GPU-hr equivalent
annual revenue = $592,000 gross margin ~58%

Private model hosting at $7.80 → $710,000 · margin ~62%
Disaster-recovery reservation → ~70% margin, near-zero incremental capex
Security, biometric, monitoring subscriptions → 71–76% margin

The same sixteen GPUs are worth $158k as commodity capacity and roughly $700k as a compliant, secured, SLA-backed service. We are not selling compute. We are selling the wrapper, and the compute is what makes the wrapper billable.

Homeowner GPU income — the claim we removed from our own marketing Result: not material

4 consumer GPUs · 35% utilization · $0.25/GPU-hr net of platform fee
  gross = 4 × 8,760 × 0.35 × $0.25 = $3,066/yr
  less electricity and added cooling load = ≈ $1,900 net
  against a $12,000–$25,000 hardware position worth 30–40% of cost in three years

Homeowners cannot earn meaningful income from GPU hosting, so we do not tell them they can. The income is immaterial, the claim is not substantiable, and pooled and marketed as a return it may be an unregistered security. Homeowners buy privacy, control, and resilience. That is what we sell them.

The pilot

One vault. Built to be sold from, audited, and copied forty times.

A 1,500 sq ft remodel of a leased light-industrial shell — the smallest facility a hospital CIO or a bank's third-party risk team will take seriously, and small enough to fund and commission inside nineteen months.

$3.4MDevelopment cost, base

$4.2MCapital to raise

19 moConcept to launch

4 → 6Racks, installed → capacity

25 kWIT load, day one

1.35Design PUE

N+1Cooling and UPS

$0Incentives assumed

The pilot's real deliverable is not revenue. It is a validated cost per kilowatt for node #2, a SOC 2 evidence environment, and a room a regulated buyer can walk through. The critical path is not construction — it is the utility interconnection and the switchgear lead time. Both start on day one.

Partners

We are not asking for sponsorship. We are asking to buy from you.

The AI buildout has been engineered for the hyperscale end of the market. Below one megawatt there is no standardized, certifiable, deployable product — and no reference design your sales teams can point at. We are building one, and we want it built on your equipment. What you get is a live demonstration site, a validated design for a segment your current products don't address, and a repeat-order platform as we build nodes 2 through 40.

Server OEMsGPU allocation via OEM programsPower & UPSLiquid and rear-door coolingPrecast hardened shellsAccess control & videoFirst Biometrics — identity layerFiber carriers, dual diverse entryElectric utilitiesSolar & storage

Investment committee

The decision, stated plainly.

PROCEED WITH CONDITIONS

The thesis holds: regulated buyers need secure sub-megawatt AI infrastructure, no one has productized it, and the asset that wins is the certified contract — not the GPU. The pilot is the right instrument to prove it. The pilot as most people would build it — a speculative GPU room with a hardened door and a homeowner-income story — is unfinanceable, and should be rejected outright.

Capital is committed only when all ten conditions are met.

Two signed customer LOIs totaling at least $400,000 of Year-1 ARR, one of them in a regulated vertical.
Written utility capacity confirmation for 150 kW at the selected site, delivered inside the construction schedule.
Budgetary pricing in writing from two server OEMs for the selected configuration.
A GMP or fixed-price construction estimate within 10% of the $980,000 base construction line.
Written lead times for generator, switchgear, and UPS that fit the schedule.
An equipment financing term sheet for at least $1.4M at 12% or better.
Every homeowner-income and passive-return claim removed from every document, deck, page, and contract — confirmed in writing by securities counsel.
SOC 2 readiness assessment complete, with a Type I date committed before launch.
IP assignments executed by every founder, employee, and contractor; the First Biometrics license documented at arm's length.
A written kill-gate. If condition one is not met by month nine, the project stops at design and only soft costs are lost.

If the ten conditions are met, fund $4.2M and build. If condition one cannot be met, the market has already given you its answer, and no amount of capital will change it.

Next step

Bring us a workload you can't put in the cloud.

Ninety-day paid proof of value, $25,000, credited in full against a 36-month agreement. Named engineer, migration plan, and a disaster-recovery tabletop exercise before anything goes live.

Request the pilot brief

Minimum term36 months, 3% annual escalator

Availability SLA99.9%, service credits capped at one month

Response4-hour on-site · 15-minute security incident notice

Onboarding30 days