How to source licensed operational data for AI
Learn what operational data looks like, why labs need it, and how to tell us your needs so we can match you with the right seller.
Written by Jimmy Lin
, 3 min read
You source licensed operational data by telling us exactly what you need, then we match you with companies that can provide it under a secure licensing agreement. Use the button below to start the conversation, no data moves until you approve a quote.
What kinds of data AI labs buy
Labs want data that shows a complete request-to-outcome chain. The most valuable sets include:
- Support interactions: tickets, chat threads, and the final resolution steps.
- CRM records: calls, emails, sales stages, and deal outcomes.
- SOPs and internal documentation: the written rules that guide work.
- Knowledge-base articles: the original question, the answer provided, and usage metrics.
- QA logs: test cases, defect reports, and verification cycles.
- Project histories: task assignments, milestones, and final deliverables.
- Accounting exports: invoicing, refunds, and financial reconciliations.
An isolated email archive, for example, rarely commands a high price because it lacks the surrounding context that explains why a decision was made. Data that spans several years on the same tools, comes from a niche industry, or includes clear reasoning steps commands a premium.
How we connect you with data owners
Our job is to act as a neutral broker. First, you answer a few basic questions about the domain, data types, and any time-frame or tool requirements you have. We turn those answers into a one-page summary that contains no proprietary details.
We then reach out to companies that meet the 20-employee minimum and that hold the operational data you described. After collecting quotes, we bring you the best offers, including price, exclusivity term, and any conditions that fit your budget. No contract is signed and no data moves until you give the green light.
When a quote is accepted, the seller sends the raw files to an independent vendor. The vendor strips all personally identifiable information and any confidential markings you specify, replaces names with stable pseudonyms such as "employee 632", and deletes the original files after a short, time-limited retention period. You receive a small de-identified sample to review before the full dataset is released, ensuring the data meets your expectations.
Every dataset passes a legal check: the seller must own the data, customer contracts must allow de-identified use, and both sides' counsel reviews the license terms before any money changes hands.
Pricing and licensing basics
Approved deals usually fall between $100,000 and $2 million USD; many buyers cite a typical range of $200,000 to $300,000 USD for a single dataset. Price depends on three main factors: the length of the data history, the rarity of the industry, and how clean the ownership rights are.
Licenses are never perpetual. Buyers most often request 24 months of exclusivity, though a shorter term reduces the price. The seller keeps ownership of the data and continues to use it internally. Payments are one-time; a future refresh can be negotiated later as a separate agreement.
If you need workflow documentation, how a team completes a process, recorded task runs, or AI-assisted actions, we price those per workflow or per department, depending on how you prefer to structure the capture. Nothing is recorded until you approve a quote.
Why licensed data matters to AI labs
Synthetic or publicly available data can give a model a rough baseline, but real-world operational data provides the nuance needed for complex business situations. Labs use licensed data in two ways:
- Supervised learning, the dataset supplies inputs together with the correct outputs, letting the model learn patterns.
- Reinforcement-learning environments, the data defines tasks, graders, and trajectories that simulate real workflows, enabling the model to improve through trial and error.
Both approaches rely on a clear request-to-outcome chain. The richer that chain, the more accurately a model can predict or recommend actions once it's in production.
How to tell us what data you need
The next step is simple: click the button below, fill out the short form, and describe the dataset you are looking for. Include the industry, data types, time span, and any special requirements such as workflow capture or department focus. Our team will start matching you with sellers, bring you the best offers, and keep the process confidential and secure.
Remember, there is no upfront cost to you. You only pay a finder's fee and the agreed advisory fee when a deal closes, and only after you have approved the final quote.
Take action now. Use the button below to start the conversation and move your AI training projects forward with high-quality, licensed data.
Questions people ask
What makes operational data better than public data?
Operational data captures the full decision-making process, showing why actions were taken, not just what happened. That depth lets models learn cause-and-effect relationships public data often misses.
How do you ensure privacy when data is shared?
An independent vendor removes all personally identifiable information and any confidential markings you specify. Names become stable pseudonyms, and the original files are deleted after a short, time-limited retention period.
Can I get a short sample before committing to a full license?
Yes. After you accept a quote, the seller provides a de-identified sample for your review. You can verify that the data meets your needs before the complete dataset is transferred.
What if I need data from multiple departments within a company?
We can negotiate workflow capture per department or per organizational process. Pricing and scope are agreed case-by-case, and nothing is recorded until you approve the final quote.