Sell-side advisory for AI data
We advise companies licensing their proprietary records to AI labs and data buyers. We establish what your data is worth, prepare it for diligence and run the process through to payment, so the deal closes on your terms.
Licensing deals for company data now pay $100K to $2M+.
What counts as data
AI models have read the public internet. What they haven’t seen is how real companies work: how a question gets answered, a problem gets fixed or a project gets delivered. That record is already sitting in your everyday tools.
The everyday back-and-forth where questions get asked and decisions get made. Buyers value this most.
Shared drives and wikis full of proposals, drawings, reports, spreadsheets and procedures.
Project histories, tasks and tickets that show how work moved from request to result.
Account histories, quotes, proposals and support conversations with the customers you serve.
Orders, inventory, scheduling and maintenance: the record of how the business runs day to day.
Invoices, purchase orders, month-end close and the review notes behind them.
Specialized systems, such as lab, plant, design and practice-management software, are often worth the most. See your industry.
How we work
Buyers run these deals every week. Most sellers do one. Before your first buyer call, you’ll know what you have and what it’s worth. Before you sign, you’ll know exactly what you’re agreeing to.
Phase 01
We map what your company holds, which buyers pay for records like it and how current programs price them. You leave with a clear view of the opportunity before any buyer is involved.
What you get
Phase 02
We inventory your systems and prepare a confidential data memorandum, the document buyers use to evaluate and price a license. Nothing goes out until you approve it.
What you get
Phase 03
We take the memorandum to qualified buyers under NDA, run a competitive process and negotiate price, term, permitted use, exclusivity and payment. We manage the handover and stay engaged through payment and renewal.
What you get
Already holding an offer? We can start there and work to your deadline. Tell us about it.
Privacy
Data buyers anonymize records before they supply them to AI labs. Names, email addresses, phone numbers and account numbers are replaced with placeholders, and the work itself stays readable, because that’s what they pay for. During preparation, we flag anything else that could point back to you or a client.
Before
Subject: Change to the spring project scope
From: Dana Whitfield <dana@northfieldgroup.example>
To: Marco Ruiz <marco@lakesidepartners.example>
Client: Lakeside Partners, account 55-2093
Phone: (617) 555-0147
Marco, adding the second location moves delivery to April 18 and adds about 12% to the fee. If you approve by Friday, we can keep the same team on it.
After
Subject: Change to the spring project scope
From: [PERSON_1] <[EMAIL_1]>
To: [PERSON_2] <[EMAIL_2]>
Client: [CLIENT_1], account [ACCOUNT_1]
Phone: [PHONE_1]
[PERSON_2], adding the second location moves delivery to April 18 and adds about 12% to the fee. If you approve by Friday, we can keep the same team on it.
Why now
Data from inside companies is now the scarce input, which puts sellers in a stronger position than they have ever been. Buyers are also multiplying beyond the major labs, as vertical AI companies and enterprises begin training their own models.
2026–2032
The window in which high-quality public text is projected to run out. What buyers need next is data that was never online.
Source: Epoch AI
About 20%
Annual growth in the AI data licensing contracts Reddit, Shutterstock and News Corp report in their filings.
Source: company filings, as reported by Every
$100K–$2M+
Payouts for licensing company data, from a first agreement to specialized operations that labs cannot source elsewhere.
Source: current buyer programs
AB 2013
California now requires AI developers to disclose where their training data came from, which rewards documented, licensed sources.
Source: California AB 2013, in effect since January 2026
What buyers look for
Requirements vary by buyer and change as their programs evolve. These are the criteria most of them share. Not sure where you fit? That’s what the first conversation is for.
Typical buyer criteria
Industries
Each industry keeps its record of the work in different systems. For the industries we cover, here is what AI buyers want and where it lives.
Every yield fix and design review captures how expert engineers reason through a hard problem.
What buyers want
Where it lives
Change orders, inspections and repair findings trace every decision back to a requirement.
What buyers want
Where it lives
Quotes, setups and fixes hold shop-floor know-how that rarely gets written down anywhere else.
What buyers want
Where it lives
Formulation histories tie each recipe and process condition to the properties it produced.
What buyers want
Where it lives
Failed experiments are as valuable as successful ones, and almost none of them get published.
What buyers want
Where it lives
Matter files follow a case from intake to outcome, including every draft along the way.
What buyers want
Where it lives
Review notes show how a senior accountant catches what a junior one missed.
What buyers want
Where it lives
Every deal you pass on and every deal you close records how your team judges risk and value.
What buyers want
Where it lives
Architecture and engineering firms, logistics, construction, field services and many others keep their records in the same core systems. The first conversation is where we find out what yours hold.
Core systems
For data buyers
Every company we introduce has been through the same preparation, and its leadership understands the process, the terms and the timeline. The first call is about price and terms, and deals are less likely to stall at signing.
Looking for a particular kind of company? Send us the profile. We’ll source sellers who fit, represent them and bring them to you prepared.
With every introduction
Contact
Start with what your company uses. It’s the first step of the inventory and makes our first call more useful. We’ll reply with a mutual NDA and a time to talk. If you’ve already received an offer, include it and we’ll review it with you.