AI Labs Buy Your Cleaned Data for $100K to $2M
AITrainingDataBroker.com
AI labs buy
your cleaned data
for $100K to $2M
What cleaning your data means, and how it gets you paid
Jimmy Lin
AI labs buy your cleaned data for $100K to $2M
A lot of company data can not be sold the way it sits in your systems today.
The same data, cleaned, is what AI labs pay $100,000 to $2 million for.
It is not about the data holding more facts, it is about cleaning removing the one thing that stops the deal.
I will show you what that means, with an example from our own website.
But first, what does cleaning your data actually mean?
The video
Full script
A lot of company data can not be sold the way it sits in your systems today.
The same data, cleaned, is what AI labs pay $100,000 to $2 million for.
It is not about the data holding more facts, it is about cleaning removing the one thing that stops the deal.
I will show you what that means, with an example from our own website.
But first, what does cleaning your data actually mean?
Cleaning your data, which the industry calls de-identification, means taking out the details that point to a real person and keeping everything that shows what happened.
Say an online store has an order note that reads, Dana Whitfield, 214 Alder Street, Tacoma, paid $236 for the 40-liter pack on May 9.
After cleaning, the same note reads, Customer 7, a city in the Pacific Northwest, paid about $240 for the pack in spring.
Dana becomes Customer 7 in every email, ticket and order, so the whole story still reads the same.
Nobody can find Dana anymore, but every step of the order is still there.
So where does the money come in?
It is right on our own homepage.
The number I promised comes straight from our homepage.
AI labs pay $100,000 to $2 million for operational data like support tickets, chat and CRM history, and a typical deal sits around $200,000 to $300,000.
Those are the amounts in approved deals, not a promise for every company.
But there is a catch, because a lot of that data can not go to an AI lab the way it is, since it is full of names, emails, phone numbers and prices.
Many owners think the data itself is the product, and it is not.
Cleaned data is the product, and that is why this video exists.
Before I show you how that works, you should know who is telling you this.
I'm Jimmy. I have worked in data at Fortune 500 companies, as a data analyst, a data engineer and a software engineer, and I am trained in data science. I am also a Canadian military veteran, where I specialized in data analysis and reporting.
Are you selling your data? We are your broker and technical advisor. We get you the best price, and we guide your team through the technical side, so your data stays private.
Are you buying data for an AI lab? We find the right data for you and see it through to delivery, so you can focus on advancing AI research.
What exactly gets taken out?
There are 3 kinds of details.
First, the direct ones, like names, emails, phone numbers and account numbers, which name a person outright.
Second, the indirect ones, such as a ZIP code, a date and a job title, which look harmless alone but can point to one person when they sit together.
The US standards agency NIST describes exactly this in its guide to de-identifying data sets: remove the direct details, and change the indirect ones.
Third, the business details, like client names, exact prices and gate codes, which point back to your company and your customers.
We de-identify your data by taking out all 3, because an AI lab will look for all 3.
Now, why do AI labs insist on clean data?
Because personal data is a legal risk, and the lab is the one who carries it.
In December 2024, Italy's privacy regulator fined a leading AI company 15 million euros, and according to a law firm's review of the decision, 9 million of that was for using personal data to train its chatbot without a proper legal basis.
A lab that takes in raw data takes on the same risk.
So before any price comes up, a lab asks one question: is the personal information out?
If the answer is no, many labs will not look at the data at all.
But here is the part owners do not expect.
There are 3 ways cleaning makes you money.
First, it turns data that could not be sold into data that can, because the thing blocking the deal is gone.
Second, some sellers have the cleaning done first, so the data arrives ready to use, and that can draw a better offer.
Third, and this is the one that surprises people, in a licensing deal the AI lab usually pays for the cleaning, not you.
Who does the cleaning and who pays are agreed case by case, depending on the deal.
So in a licensing deal, cleaning is not a cost you carry to get paid, it is the step that opens the door to the payment.
Let us see what that looks like for a real company.
I put an example into the calculator on our website: an online outdoor store with 50 to 99 people, 5 to 10 years of data, and 5 kinds of data, which are email, chat, CRM history, support tickets and orders.
The same customers show up across those tools, and no AI lab has seen the data yet.
The calculator gives a range of $190,000 to $480,000.
It is an estimate, not an offer, because the real number depends on how complete, how linked and how new the data is.
That is why cleaning comes first: a lab can only pay for data it is allowed to use.
Now, how not to clean it.
The easy way is to black out the names, but then every message reads, black bar paid black bar on black bar, and a lab can not follow who did what.
A better way gives each person one stand-in, so Dana is Customer 7 everywhere and the thread still makes sense.
And whichever way you choose, someone has to check the result before anything leaves your company, because one missed phone number in an email signature can undo the whole job.
We do that checking as part of the work.
For health data, a qualified expert signs the HIPAA decision, not us, and none of this is legal advice.
Which of your data would need this?
Many of the things AI labs ask for: email threads, support tickets, chat messages, CRM notes, orders and call transcripts.
All of it has names, numbers and prices in it, so all of it would be cleaned.
On your side, the main job is exporting the data, and we guide your team through it.
The more years you have, and the more of it links together, the higher the range, as you saw in the calculator.
So who works through all this with you?
That is where a broker and technical advisor comes in.
As your broker, I bring your data to several AI companies and AI labs, get competing offers for you to compare, and work through the terms with you, and you make the final call.
As your technical advisor, I guide your team through the technical side, which means what to export, in what format, and how your data is cleaned so personal information stays private.
Nothing moves until your team signs off, and the terms are agreed case by case.
And you do not pay anything for the broker work: AI companies pay my fee.
Cleaning is the step between data sitting in your systems and a payment from an AI lab.
If you run a company with 30 or more people, the data you already have could become a new revenue stream.
Want to find out?
You can check if yours qualifies, for free, at AITrainingDataBroker.com.
If you have further questions, leave them in the comments, and I will answer them in the next video.
Thank you for watching.
I will see you next time.
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