Run an AI company with real contracts and real hardware? Here is what an investor can actually buy.
If you have enterprise contracts, racks you own, or both, you have assets that behave like assets everywhere else. Weights and datasets do not. This page is about financing the first kind without selling the story.
$305M+ in assets structured and supported · 100+ companies · 20+ countries · founded 2018
For AI companies with revenue or owned compute
What AI company tokenization changes for you.
Not a demonstration of what we can do. Four things you can do with an AI company once the record, the raise and the token are in place.
Raise against contracted revenue, not projections
The memorandum is drafted from the contract schedule in the record; the investor reads terms.
Treat compute as the industrial equipment it is
Title, invoices, location and lease terms in the record, with the documents attached.
Pay investors a share of revenue automatically
Everyone holding on the day is paid on the date the rule sets, in USDC, a digital dollar, and every payment is written down.
Know where you stand in about eight minutes
Twenty-five questions, a score, and the list of what is missing. Free, and nobody calls you.
Your problems, and what we do about them
Why AI company tokenization is slow today, and what fixes each problem.
Written in the owner’s words. If yours is not on the list, the readiness score will find it in about eight minutes, and nobody calls you.
Investors cannot tell the model from the company
The record shows the company: cap table, contracts, hardware, with the evidence attached.
A buyer who sees what is actually for sale.
Compute is a photo, not an asset register
Equipment title, invoices and location enter the record at their tier.
Hardware a lender can lend against.
Contracted revenue is scattered across inboxes
Customer contracts with payment terms sit next to the revenue they produce.
One schedule an investor can read in an afternoon.
Intelligence · the record
Due diligence for an AI company: why you would use Intelligence.
Because an investor needs to see the company, not the demo.
Equity reconciled to the paper
Articles, register, option ledger and every note, with the disagreements between them named. The AI part changes none of this. The speed of your last round is what made it messy.
Compute treated as the equipment it is
Title to the machines, the invoices, where they physically sit and the terms of the room they sit in, each with its document. An investor reads what you own, where it is, and what it is worth on paper.
Revenue with the contracts behind it
Contracted revenue taken from the accounting system, with each customer agreement attached, so the figure and its source can be read together.
An example, made up for this page. Say you run an inference company with eight enterprise contracts and two racks of your own. You upload the contracts, the hardware invoices, the lease on the data centre space and the accounts. The record shows one contract expires in four months with nothing about renewal in it, and the hardware is insured for what you paid rather than what it would cost to replace. Both are fixed before a lender asks. How Intelligence works
Raisable · the raise
Raising capital for an AI company: why you would use Raisable.
An example, made up for this page. Say you want to fund the next two racks without giving away more of the company. Your lawyer structures a share of contracted revenue. The package describes the contracts and the hardware from the record, eligible investors verify and sign on your own address, and the register records each commitment as it lands.
A raise against what customers have already signed
The memorandum and the risk factors are drafted from the contract schedule in the record, so an investor reads terms rather than projections.
Equity or a share of revenue, decided by your lawyer
Whether you sell part of the company or a share of contracted revenue is a structuring decision your counsel makes. The package is prepared to whichever standard applies.
A flat fee for the window, never a percentage
A licensed broker-dealer runs any regulated sale. No success fee, no carry, no cut of what you raise at any layer of ours.
Compass · tokenization
How AI company tokenization works, and why it makes sense.
Because a payment rule the contract runs beats a report somebody remembers to send.
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Payments run from the register
A share of revenue pays everyone holding on the day the rule names, in USDC, a digital dollar, and each payment is written down as it happens. Nobody runs a report first.
What you get
A share of revenue paid by a rule, not by somebody running a report.
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If it is equity, the register is the list of owners
Current at the moment of every transfer, with the shareholder agreement enforced by the contract instead of remembered.
What you get
A share register that is the asset itself, if what you sell is equity.
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Who may hold it is a condition of the asset
Written into the token and checked on transfer. There is a path to secondary trading through licensed venues, and listing rests with the venue.
What you get
A check on who may buy, run by the asset on every transfer.
An example, made up for this page. Say the revenue share is held by twenty investors. Each month the rule works out what each is owed from the receipts, pays it from the register, and records it in the file. An investor who sells does so inside the rules, and the buyer sees the same payment history. How Compass works
Side by side
AI company tokenization side by side: the same four questions, before and after.
Nothing here needs the rest of the page. If the right column is not worth the work to you, the answer is no, and that is a fine answer.
What is being sold
A story about the model
Equity, machines or contracted revenue, with evidence
How investors are paid
A report, then a transfer
From the register, by the rule, recorded
What a buyer checks
The deck, and your word
Contracts, invoices and titles in the record
Who may hold it
Whoever you vet by hand
Whoever the rules admit, checked as it moves
Our clients
AI company tokenization case studies: named work, and the marks that go with it.
We have not yet taken an artificial intelligence company through a tokenized raise. What we have done is finance the physical side of compute, three times, and that is the honest comparison.
Pylon
Egypt · Fundraising strategy
We structured a securities offering that financed hardware for a Y Combinator-backed company, using its contracts rather than another equity round.
What that means for you
Equipment with contracted revenue behind it can be financed on its own terms.
Decentraliced
Germany · Token structuring
We built a financing structure that balanced the yield from computing hardware, the cost of its own power supply, and what investors were owed.
What that means for you
Compute and the electricity it burns are one calculation, not two.
Quarry Dynamics
United States · Fundraising strategy
We structured a raise that paid for computing equipment and the site it runs on, in Canada.
What that means for you
Hardware, site and power can be raised for together, as one project.
Our clients in this sector
Every name here is published with the client’s agreement on our case studies. Deal sizes, terms and returns are not ours to publish and are not here. The rest of the client list is private, and we will introduce you to the ones closest to your situation when we speak.
In plain English
AI company tokenization terms: six words this page uses, in plain English.
You do not need any of this to talk to us. It is here because these words get used at you in meetings, and knowing them is worth more than nodding along.
Compute
The machines that run the models: graphics cards, servers and the building and power they need. Unlike a model, it is a physical thing you can own and finance.
Contracted revenue
Money customers have already signed up to pay you over a period, as opposed to money you expect. Lenders and investors treat the two completely differently.
Depreciation
How quickly the hardware loses its value. On compute it is fast, and any honest financing structure has to say what happens when it does.
Cap table
The list of everyone who owns a piece of the company. It is the asset in a private company, and an AI company’s cap table has usually been through several fast rounds.
Exemption
The rule that lets you sell to investors without a public registration. Your lawyer picks it, and it decides who is allowed to take part.
Model weights
The trained output of the model itself. They are hard to own cleanly, hard to transfer and hard to value on any given day, which is why we do not build offerings on them.
What you will be asked for
Documents needed for AI company tokenization, and who has to have issued them.
Every answer in the record carries its document and a proof tier from T0 to T5. A number you typed and a number from a registry both get in, and they are not stored as though they were equal.
Certificate of incorporation and articles
T5A registry
Share register and option ledger
T3Your books
Title to the hardware, invoices and location
T4Signed by the other side
Customer contracts with payment terms
T4Signed by the other side
Revenue from the accounting system
T3Your books
Where this usually stops: stage 05 · Issue. The existing cap table has to be reconciled with reality before it becomes chain state. The six stages are on the Compass page. T5 is issued by an authority, T4 is signed by the other side, T3 is your accounting system of record; anything asserted without a document sits at T0, and the score will say so.
When this is not for you
When AI company tokenization is not for you: three cases, in advance.
Said here so you can leave without a call. It is cheaper for both sides than discovering it in week six.
A company before revenue with no hardware of its own. That is an ordinary venture round.
Model weights, datasets or intellectual property you do not clearly own, as the thing being sold.
A network token or a community allocation. It is a security or it is nothing.
Primary sources: Securities Act, section 4 - exempted transactions – 15 U.S.C. 77d · Regulation D, Rule 506 – 17 CFR 230.506.
Three steps to a call
Find out where an AI company stands.
Start with the score, ask the founder if you want to, then bring it to a call. Prefer email? info@stobox.io.
Score your asset
The Readiness Score: twenty-five questions across seven dimensions, about eight minutes, no email to see the result.
Take the Readiness ScoreAsk the founder, live
Founder Office Hours with Gene Deyev: 40 minutes on Zoom, Mondays 1 PM ET and Thursdays 2 PM ET.
Join Founder Office HoursBook a call
Bring the asset and the score. We will say what is missing, and say so if the answer is no.
Book a call
Stobox Technologies Inc. Nothing on this page is an offer to sell or a solicitation to buy any security, and nothing here is legal, tax or investment advice. Stobox is not a broker-dealer and not a law firm; regulated activity runs through licensed firms and listing decisions rest solely with the venue. All figures are indicative and are confirmed in writing in your quote. See the privacy summary.