How to sell data to AI labs: a practical guide

You can turn your company's operational data into a revenue stream by following a short, structured process that we run for you. First, we check whether your organization meets the basic eligibility criteria.

Eligibility and fit

AI labs want a steady flow of real-world information, and the main gatekeeper is size. You need at least 20 employees for the data to be interesting to a lab. Anything smaller usually lacks the activity breadth that researchers need.

If you run a 60-person logistics firm. A 35-person software consultancy. Or a 120-person manufacturing operation. You are already in the target range. Companies below the 20-person threshold typically cannot supply the volume or diversity of examples labs look for.

The next checkpoint is data ownership. You must own the data outright, and any customer contracts you have must allow de-identified use for research or model training. We confirm this with your legal team before any export begins.

What data AI labs want

Labs purchase more than a collection of files; they need the full narrative from request to outcome. The most valuable material includes:

• Support tickets that show the problem, the steps taken, and the final resolution.
• Chat threads where a decision was reached together with the reasoning behind it.
• CRM records and sales activity that capture the entire sales cycle.
• SOPs, internal documentation, and knowledge-base articles.
• Project histories and accounting exports that illustrate billing, refunds, and financial adjustments.

An isolated email archive, even a large one, is less attractive because it lacks the context that makes the data useful for training. Labs want to see why a decision was made, not just the final outcome.

Three factors push a dataset's price upward:

• Years of continuous history on the same tools.
• Visible reasoning in the records so a model can learn cause and effect.
• A rare industry and clean rights that give the buyer exclusive insight.

If you can prove clean rights, meaning you have clear authority to share the data, those factors translate into a higher valuation.

The secure licensing workflow

Our process safeguards your data, your brand, and your customers. It begins with a discovery call where we learn about your data situation and you learn how we operate. No contracts are signed and no data moves at this stage.

When both sides see a potential match, we move to a licensing agreement that you, as the seller, sign. Only after your signature do we start the technical hand-off. First, you export the raw files to a neutral data-vendor that specializes in de-identification. The vendor strips all personally identifiable information and any content you flag as confidential; names become stable pseudonyms such as "employee 632". The cleaned files sit with the vendor for about a week, then are destroyed. Before the buyer sees anything, you receive a sample of the de-identified data. You verify that the transformation meets your standards and that no sensitive material slipped through. After you approve the sample, the buyer receives a summary and a few anonymized excerpts. The buyer never sees the full raw data; they receive only the cleaned version that we have cleared with you.

All licenses are time-bound. The typical term is 24 months of exclusivity. Meaning no other buyer can use the same dataset during that window. Shorter terms are possible, but they command a lower price because the buyer gets less exclusive use.

Pricing and terms

Deal values typically range from $100,000 to $2 million USD. Many buyers cite $200,000, $300,000 USD as a common size. The exact figure depends on the three value drivers above, history length, industry rarity, and clarity of reasoning.

You pay nothing up front. When a deal closes, the buyer pays a finder's fee to us for connecting the parties. If you need advisory help, refining the data set, preparing documentation, or navigating legal reviews, we bill a separate fee that is agreed in writing before any work begins. No deal, no fee.

Licenses are never perpetual. After the exclusivity period ends, the buyer's rights expire and you retain full ownership of the original data. You may then license the same dataset to another buyer, subject to any new agreements you choose.

What buyers look for

Buyers compare datasets on two dimensions: depth of context and rarity of the business domain. The table below shows a typical contrast that influences the price band you can expect.

Feature	Basic dataset	Premium dataset
History length	1-2 years on the same tool	5+ years on the same tool
Reasoning detail	Minimal notes, outcomes only	Full decision logs with rationale
Industry	Common sector (e.g., generic retail)	Niche sector (e.g., aerospace maintenance)
Expected price range	$100,000-$250,000 USD	$400,000-$2,000,000 USD

Providing the richer set of attributes moves your offering into the premium column and can more than double the deal size.

How to start the process

The quickest way to know whether your company is a match is to schedule a discovery call with us. During that call we will map your data sources, walk through the legal checklist, and outline a timeline that works for your operations. The call is free, carries no obligation, and gives you a concrete view of the path forward.

After the call, if we agree there is a good fit, we will send you a simple licensing agreement to sign. Once signed, you will receive detailed instructions for the secure export and for working with the independent de-identification vendor. From that point the process moves forward automatically, and you can watch the progress through the portal we provide.

Take the first step now; the button below will open the scheduling page.