Customer or operational data: which can you license to AI

You can license both customer data and operational data, but operational data typically delivers more value to AI labs and carries fewer privacy hurdles. Customer data can be licensed, but only when it is fully de-identified and you have clear contractual rights.

What counts as operational data

Operational data is the day-to-day record of how your business works. It follows the chain from request to outcome and shows the reasoning behind each step. Common examples are:

• Support tickets together with the final resolution.
• Chat threads where a decision was recorded.
• CRM activity that maps each sales step to its result.
• Standard operating procedures, internal documentation, and knowledge-base articles.
• Project histories, accounting exports, and work-order logs.

These records capture context, judgment, and results. Because they already contain the full decision loop, AI labs can use them to train models and to build reinforcement-learning environments that mimic real business workflows. No extra annotation is required, which makes the data ready for immediate use.

When customer data is licensable

Customer data is any record that identifies a person or organization you serve. You may license it, but two conditions must be satisfied:

1. Clear rights. You own the data and your customer contracts permit a de-identified use.
2. Effective de-identification. All personally identifiable information and any confidential markings are removed before an AI lab sees a sample.

If those boxes are checked, the data can be offered to a buyer. The value depends on how much useful pattern remains after PII is stripped. A clean set that shows purchase cycles or service usage can be attractive, but preparing it usually takes more work than preparing operational data.

Not sure your company is a fit? Take the free check

How licensing works with us

First you answer a few basic questions on our site; at this stage no data moves. We turn your answers into a one-page summary and share it with several large AI labs, each of which returns a quote and conditions that fit your needs. When you accept a quote, the buyer pays the broker fee after the deal closes and the data is exported, de-identified, and delivered. For the full step-by-step flow, see our how-it-works page.

De-identification as a separate service

Even if you only want to test how your data stands up to privacy laws, we offer a stand-alone de-identification service. We start by mapping your systems and the laws that apply. Automated tools replace names with stable pseudonyms like "employee 632," scrub dates, locations, and numbers as required, and then trained reviewers verify the result. The service is quoted after we know the volume and the systems involved, and the fee is paid by you regardless of whether the data is later sold. In a brokered deal the buyer usually covers the de-identification cost, but who does the work and who pays are negotiated for each transaction.

The test that decides whether the data is no longer personal depends on where the people in the data live. Our counsel can help you confirm which regional rules apply. For a quick overview of privacy rules by region, visit our regions page.

A concrete example

Say you run a 70-person logistics firm that uses a ticketing system, a CRM, and an internal knowledge base. Your ticketing system contains ten years of support tickets, each with the problem description, the steps taken, and the final resolution. Your CRM logs every quote, negotiation, and closed deal, but the customer names and contact details are removed.

You could license the ticketing data as operational data, because it shows how problems are diagnosed and solved. The CRM data could be offered as customer data, provided you strip names, emails, and any other PII. After we receive your quick eligibility check, we match you with a large AI lab, obtain a quote, and let you decide. If you accept, the lab receives the de-identified files, and you receive a one-time payment while keeping ownership of the original records.

Next step: check if you qualify

The first thing you need to do is see whether your company meets the basic fit. Companies need at least 30 full-time employees, and there is no upper limit on size. The more data you generate, the higher the potential price, but larger firms are not less wanted.

Use the button below to start the free eligibility check. It takes only a few minutes, and you will get a clear picture of whether your data can be licensed and what the next steps look like.