Buyers buy at scale
One company's records are rarely enough on their own. We assemble a batch across several businesses in the same industry, because that is the size a lab or a data vendor will actually transact at.
Get paid for your data.
Don't just store it. Profit from it.
Published partnership range, not an offer. Two minutes, no files, no logins, nothing leaves your systems. Work it out yourself.
- 30 or more people
- 2+ years in business
- $0 cost to you, ever
Your estimated range
$—to$—
- Type of business
- People on payroll
- Years in business
Answer the three questions and your range appears here. Nothing is uploaded and nothing leaves your systems.
Current intake closes in
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Four things you should know.
In the order owners ask them.
01
Who is buying
AI labs and the data vendors that supply them. The companies building the models you have heard of. They have used up the public internet and now need records of how real work actually gets done.
02
Why it has to be quick
They are not buying forever, and they do not need unlimited amounts. Once a buyer has enough from an industry, they stop. We take businesses on in batches, and this one closes when the clock runs out.
03
What they actually want
Not personal data. Not your customer list. The ordinary documents already sitting on your computer: job files, quotes, reports, email threads, tickets. The work, not the people.
04
What it gets used for
Training models to understand how businesses really operate. That is it. Names and contact details never leave your systems, and every buyer agrees in writing not to try to identify anyone.
2 min
That is the whole idea. Six questions tell you whether your records qualify and roughly what they are worth, and you get the answer on the page rather than after a call. Value your records.
Why intake closes.
Not a sales tactic. It is how the work has to be done, and it is worth understanding before the clock runs out.
A batch has to close to be sold
You cannot take a moving target to a buyer. At some point we stop adding businesses, finalise what we have, and go to market with it. That is the date on the clock.
Onboarding is hands on
A call, an agreement your counsel reads, extraction set up against your own systems, and a sample your staff sign off. There is a limit to how many we can do properly at once, and doing them badly is worse than not doing them.
Selling it takes months
Once a batch closes, placing it with a buyer and getting through their legal review is a long process. We are not taking new businesses on while that runs.
What happens if you miss it
You wait for the next batch. We will tell you when it opens if you leave your details. It is not a door closing forever, it is a queue, and the next one will not be this year.
What we will not do
Restart the same clock next week and pretend it is a new deadline. If the date moves, we will say why. You can hold us to that.
What are your records worth?
Nobody has ever quoted your business a price for this, so there is no going rate to look up. This works from replacement cost instead: what it would cost to pay people to produce the same records from scratch.
Move the inputs to match your business.
This changes how much a record is worth, not whether it counts. Healthcare and consumer finance are out of scope for now.
40
Everyone, full and part time, across all locations.
12
History counted for licensing stops at seven years, because buyers rarely want more than that.
Email and chat
Not where it is supposed to go. Where it really ends up.
Usually
Whether it worked, what it cost in the end, whether the customer came back. The single biggest driver of value.
Indicative one time license
$0
to
$0
Work records produced a year0
Years of history in scope0
Records in the licensable set0
Ongoing supply, per year$0
Below our current minimum. At this size the legal and preparation work costs more than a license returns. Come back as you grow, or point us at a bigger business that should hear about this.
How this number is built
- Each industry has an assumed number of substantive work records per person per year, and an assumed replacement cost per record. Both are averages, and both are estimates rather than quoted rates.
- History counts for a maximum of seven years, because buyers rarely pay for more.
- How the work is recorded scales the whole thing, because records nobody can reach are worth nothing.
- Recorded outcomes are weighted heavily. A record of what was done is useful. A record of whether it worked is far more useful, and far rarer.
- The license band sits at 40 to 65 percent of replacement cost.
Illustrative estimate in USD. Not an offer, not a valuation, and not a guarantee of a sale. What a dataset actually clears for depends on buyer demand, the state of your systems, and the rights you are able to grant.
Four businesses, four very different numbers.
Illustrative profiles, not completed sales. Each runs the same arithmetic as the estimator against a shape of business we expect to see.
Notice how much the recording habits move the number compared to headcount.
Professional services
28 person civil engineering firm, 14 years old
$48k to $119k
Records a year2,520
Years in scope7
Recorded inSoftware
Outcomes keptAlways
Why it scoresReports with a stated recommendation, and a project file showing whether the recommendation held. That pairing is the whole product.
Field service
60 person HVAC service company, 22 years old
$72k to $181k
Records a year10,800
Years in scope7
Recorded inSoftware
Outcomes keptAlways
Why it scoresSymptom, diagnosis, what was replaced, and whether the unit came back in ninety days. Verifiable without a human grading it.
Insurance
15 person commercial brokerage, 9 years old
$14k to $34k
Records a year2,250
Years in scope5
Recorded inMixed
Outcomes keptUsually
Why it scores lowerGood judgment, but half of it lives in spreadsheets and the other half in people's heads. Size is not the problem here.
Logistics
140 person freight forwarder, 30 years old
$163k to $408k
Records a year30,800
Years in scope7
Recorded inEmail
Outcomes keptUsually
Why it scoresEnormous volume, even with messy recording. The clearest case for supplying records going forward rather than selling the back catalog once.
The public internet is spent. Your file server is not.
Everything published openly has already been scraped and trained on. What has not been touched is the record of how actual work gets done inside actual companies.
You generate that every working day, and then you file it.
Public data
Already scraped, already trained on
Every website, forum, manual and public document. All of it went into the last generation of models years ago.
Worth nothing. Everyone has it.
Your systems
Worth more than you think
The quote you nearly sent. Why you changed it. What the job actually cost when it was finished.
Has never been digitized by anyone outside your company.
The decision, and the reasoning behind it
Which option your people compared, what the situation actually was, and why they rejected the obvious answer. The final number is the easy part. The path to it is the asset.
Whether it turned out to be right
The job that came back. The quote that was wrong by thirty percent. The fix that held for three years. Almost nothing on the open internet has this attached, which is exactly why it is worth paying for.
What your people checked before committing
The supplier they called, the spec they looked up, the thing they went and physically measured. Models are bad at precisely this, and the people building them know it.
This window will close.
Nobody can tell you when. Here is why we expect it to, so you can decide whether waiting a year is free.
Land grabs end
Labs are buying hard because the public internet is spent. That is a phase in a market, not a permanent feature of one.
Industries fill up
A buyer needs a certain volume from a sector, not an unlimited amount. Once they have enough, they stop.
Fakes get better
Synthetic data keeps improving. Real records are worth most while they are still hard to imitate.
Your archive is finite
One back catalog, licensed once. Meanwhile every system change takes a little more of it.
Outcomes break first
The link between a job and whether it came back is the first thing lost, and the part worth the most.
Not a prediction
These are the forces we see, not a forecast with a date on it. Your own judgement about timing is as good as ours.
We license how you work. Not who your customers are.
Every business holds information about other people, under contracts, under privacy law, and under plain common sense. That constraint shaped the whole scope.
We built around it rather than asking you to find a way past it.
In scope
Your company's work, de-identified.
- The problem as it was described to you
- What your people decided, and the options they rejected
- The internal back and forth that got to the answer
- Generic job characteristics: scope, materials, conditions
- How it turned out, and anything that had to be corrected
- Your own internal guidance and written procedures
Never leaves your systems
Removed before anything is transmitted.
- Customer and client names, addresses and contacts
- Your pricing, margins and contract terms
- Anything personal about your staff or anyone else
- Your customer list, and the fact that any customer is yours
- Passwords, keys, card and bank details
- Anything under a confidentiality clause you name
What that looks like on an actual record
Constructed example, a service call. De-identification runs on your machine, before transmission, and your staff approve the output before it moves.
As it sits in your system
As it leaves, once you approve it
Where the work actually lives.
Rarely in one place. Part is in a proper system, part is in a note somebody typed at four in the afternoon, and part is in an attachment nobody has opened since.
Conversations
The threads where something got decided. Usually the only place the reasoning survives, and almost never where anyone thinks to look.
OutlookGmailSlack
TeamsCall notes
Jobs, tickets and cases
The structured spine of the work. What came in, who handled it, what they did, and when it closed.
SalesforceHubSpotZendesk
JiraServiceTitanProcore
What happened next
The part nobody else can supply. Callbacks, warranty claims, change orders, final invoices against the estimate. This is what turns a record into something a model can be scored against.
Final invoicesChange orders
Warranty claimsRepeat jobs
Documents and drawings
Quotes, reports, specs, plans, photographs. Stripped of client, address and price before any of it moves.
SharePointGoogle Drive
DropboxYour file server
How you tell people to do it
Internal procedures, checklists, training notes, the document that explains how your company handles the awkward cases. Short, and worth more per page than anything else on this list.
NotionConfluence
SOPsHandbooks
We walk you through all four steps.
No records move during onboarding. We work from counts and screenshots until a buyer agreement is in place, and you pay nothing at any stage.
01
Qualify
Thirty minutes. Size, industry, and whether your records survived your last system change. Plenty of businesses are not a fit and we say so on the call.
02
Scope
Mutual NDA, then we map what you have and where. You set the exclusions: customers, departments, date ranges, anything under a confidentiality clause.
03
Extract
Our tooling runs inside your network, read only. De-identification happens before transmission. Your staff review a sample and sign off before anything moves.
04
License
We take it to buyers. You keep ownership of the underlying records, you can decline any individual buyer, and what you are paid is agreed in writing before anything moves.
6 hours
Roughly what this costs your staff, in total. Most of it is the review sample in step three. Businesses on older systems, or holding records across several platforms, should expect more. We do the rest.
Before you decide.
The six things worth knowing before you spend half an hour on a call with us.
What it costs you
Nothing, at any stage. We are paid only out of what a license earns. If it never sells, you are out the staff time and nothing else.
What you keep
Ownership of every underlying record. The license is term limited and you keep operating exactly as you do now.
What never moves
Customer identities, personal data, pricing, and anything that could tie a record back to a named person. Stripped on your hardware.
Who reviews it
Your counsel, before you sign. We expect it and we budget time for it, and we send the agreement early so they have room to work.
What you can veto
Any buyer, any department, any customer, any date range. Exclusions are set in the agreement and can be widened later, not narrowed.
What is not promised
A sale. Buyer demand is real but concentrated and slow. A signed license is permission to try, not a cheque, and anyone telling you otherwise is selling something.
The questions owners actually ask.
Straight answers, including the ones that are not in our favor.
Am I selling my business, or my customer list?
Neither. You are licensing a de-identified copy of how your company works, for a fixed term. You keep the original records, you keep the business, and nothing about your operation changes.
Your customer list, their identities and your commercial terms are out of scope and never leave your systems.
What about my customers' personal information?
It is removed on your hardware, before anything is transmitted, and your staff approve a sample of the output before the first record moves. We would rather carry the cost of doing that locally than hold personal data at all.
Removing names is only the first step, and anyone who tells you it is the whole job is wrong. Context can identify people too, which is why the scope excludes addresses, pricing, and anything tied to a specific account.
Who is actually buying this?
Two groups. AI labs building models that have to handle real professional work, and the data vendors who supply them under existing contracts. Both are short on records of how expensive expert work actually gets done, because none of it is public.
You can decline any individual buyer. We name them before anything is transferred.
Our records are a mess and half of it is in email.
Normal, and not disqualifying. Email is often where the useful part lives, because it is where the reasoning happens. Pulling it into shape is our problem rather than yours.
What does hurt is not knowing how things turned out. If you cannot connect a job to whether it came back, the records are worth a fraction of what they otherwise would be.
Am I training my own replacement?
Honestly, a bit, and we are not going to pretend otherwise. Models are going to get better at this kind of work whether or not your company takes part, and the training data will come from somewhere.
The choice in front of you is not whether it happens. It is whether you are paid when it does. If that trade does not sit right with you, do not do it, and we will not try to talk you round.
What happens when the license ends?
The buyer's right to use the data for new training stops at the term end. A model already trained cannot be untrained, which is true of every data license in this market, and the agreement says so plainly rather than implying otherwise.
You keep your records throughout. You are licensing a copy, not selling the original.
For advisers, accountants and anyone who knows an owner
Know a business like this? Become a partner.
You do not pitch, negotiate or handle anything. You make one warm introduction to someone you already know, and we take it from there. If it signs, you are paid.
Find out whether your records qualify.
Thirty minutes, no files, no preparation. We go through your size, your systems and what you actually keep, and tell you on the call whether it is worth either of our time.
We are not a fit for everyone. We work with US businesses of 30 or more people with at least two years of records, outside healthcare and consumer finance. If that is not you, say so on the form and we will not waste the half hour.
Received.
If your size and record history clear the bar, you will get a time to pick from within two business days. If they do not, you will get a short note saying so rather than silence.