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Check Your Fit.
Current company criteria require 20+ employees and more than 3 years of business records. Buyers also consider mature workflows, documented processes and modern software tools. Larger companies are welcome.
Top 0.01% data lab standard
The safe way to get paid for your company's data.
For companies with 20+ desk staff, 3+ years in operation, and 5+ data sources, your business may be able to license its data for $100K–$5M. Explore a fit without sending us a dataset.
No offer or payment is guaranteed. Buyers decide eligibility and terms.
Top 0.01% lab standard
We never touch your business datasets
Success-based commission
No upfront commercialization commission
A new market for business data
Your company's data could help train better AI.It may be worth licensing.
AI companies building foundation models look for real-world examples they cannot get from the public internet. The decisions, workflows and outcomes your team already records could help train models to understand how businesses actually operate.
That creates a potential licensing opportunity, not a need to sell ownership of your records. Whether there is a fit depends on relevance, quality and safe preparation. You do not have to send us a dataset to find out.
The value of a potential deal depends on buyer fit, the quality of your records, and the rights requested, including any exclusivity. We help you make that value clear and negotiate terms that work for your company.
AI has read the internet. It has never seen how your company runs.
Before you share anything
Your data may be valuable. Protect it.
A real opportunity should stand up to careful questions. Use these five checks with anyone who approaches your company, including us.
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The role we play
We sit on your side of the table.
Buyers have lawyers, data teams and years of practice. Most owners are considering this for the first time. We focus on credible labs and help you evaluate fit, prepare your story and ask the right questions before you decide.
Match the lab to your data
We partner only with labs that meet our top 0.01% credibility standard. We help identify relevant demand and present your permitted records for a strong potential fit, without promising a price.
Present your data clearly
We help describe the workflows, context and quality behind your records so a potential lab can evaluate their relevance. Start with a high-level inventory, not raw files.
Work through the diligence
We help you identify questions about rights, privacy, security, permitted use and compliance. Have your own legal adviser review the lab and agreement before signing.
Your business datasets stay with you
We never ask for, receive or store your business datasets. Any transfer happens only after you sign, directly between your company and the buyer.
Upfront about how we earn
There is no upfront seller-side commercialization commission. Any seller-side success fee for a completed transaction we facilitate is set out in the applicable Commercialization Agreement.
Chain of custody
Your business datasets never pass through us.
We introduce your company to the AI data company. Your business datasets go directly to the buyer, never through datasupply.ai. Payment goes directly to you.
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Get Introduced.
We introduce qualified companies, by name, to AI data companies whose current demand matches what they have. You verify the buyer yourself. No cost and no obligation.
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Partner Directly.
Your agreement is with the data company. Data moves only after you sign, directly from you to them. They anonymize it, set compensation, and pay you directly.
How it works
A clear path from first step to your decision.
An introduction is only a starting point. The buyer decides whether there is a fit, and your company decides whether any agreement is right for it.
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Share the basics
Tell us about your company and the kinds of records it keeps. No business dataset is needed to get started.
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Compare potential lab fits
Different data labs serve different customers. We discuss where your records could be most relevant and what rights, privacy and compliance questions need review. This is not a valuation.
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Present a possible match
We help explain the permitted records and their context to a suitable lab. If there is interest, we may make an introduction; the lab reviews the opportunity and explains its requirements.
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Decide on your terms
You decide whether to proceed, have your own lawyer review the agreement and work directly with the buyer before any data moves.
Explore your own operations
See whether your company could be a fit.
Select the tools and records your company uses every week. See what a buyer may look for, then discuss your actual fit on a call. This quick check is a guide, not a valuation or an offer.
TEAM SIZE
WHAT YOUR TEAM USES EVERY WEEK
Operations
Clients and revenue
Knowledge
Nothing you select here is saved or sent anywhere.
TEAM NOT SELECTED
LAYERS 0 of 9
DOCUMENTED NOT YET
Start with your team size
Then select what your team uses every week.
Current company criteria: 20+ employees and more than 3 years of business records. Records history does not replace the employee requirement; this tool inventory is only a readiness prompt.
What could be useful
Real work leaves useful records.
Buyers may look for evidence of processes, decisions and outcomes. These are examples, not a list of files to send us. Usefulness depends on fit, quality and safe preparation.
How work gets done
SOPs, playbooks, internal guides and reusable templates document the processes your team relies on.
How decisions get made
Approvals, handoffs and exception paths show what people do when the straightforward answer is not enough.
What happens next
Project histories, service workflows and CRM stages can connect work to outcomes.
Across industries
Not just tech companies.
Useful operational knowledge can come from many kinds of work. The buyer still decides whether any particular records are relevant.
Software & technology
Issue triage, release workflows, product documentation
Professional services
Client onboarding, project delivery, reusable methods
Sales & support
CRM stages, support playbooks, resolution paths
Operations & logistics
SOPs, scheduling, exception handling
Finance & accounting
Reconciliation workflows, approvals, checklists
Compliance teams
Policy documentation, review steps, approval trails
Before any data moves
Four things to settle before signing.
Define the scope
Ask which records, uses and recipients an agreement would cover. Decide what your company is willing to include.
Review protections
Have your team and lawyer review security, confidentiality and permitted-use terms before signing.
Prepare records safely
Agree how customer and other sensitive details will be removed before any transfer or use.
Approve the transfer
We do not receive your business datasets. Any transfer is directly to the buyer, only after your company signs.
Take the next step
Find out if your company qualifies.
A short call can help us explore which credible lab and customer demand might fit your records, how to present them responsibly, and what to review before a direct licensing agreement. It costs you nothing to explore, and you do not share business datasets with us.
Questions worth asking.
No. Start by telling us what your company does and what kinds of operational records it keeps. We do not ask to receive or store your business datasets.
AI models can learn from public information, but the way a real company handles decisions, handoffs and outcomes is rarely published. Operational records can show how work gets done in practice. Buyers assess whether that information is relevant and usable for their needs.
There is no standard price or guaranteed outcome. Buyer demand, quality, permitted uses, and the rights requested, including exclusivity, can affect value. We help present and negotiate the opportunity to maximize the value of your data, but the buyer decides whether to proceed and what to pay.
We partner only with data labs that meet our top 0.01% standard for credibility. We look at the lab, its customers and the types of records it needs, then help you assess potential fit, prepare a clear presentation and review rights, privacy and compliance questions before any introduction. Your team and legal adviser make the final decision.
Documented processes, task histories, CRM workflow metadata, project management records, reusable frameworks, knowledge bases and other working files can reveal repeatable patterns. What matters depends on the buyer, the quality of the records and how safely they can be prepared.
No. Operational knowledge can come from recruiting, professional services, finance, legal and compliance, healthcare administration, logistics and many other fields. What matters is how your company works and whether its records match a buyer’s needs.
The programs we describe require sensitive and confidential information to be scrubbed before use. Ask the buyer to explain its anonymization and security process in writing, and have your own lawyer review any agreement before data moves.
If there is a fit, we make an introduction. You verify the buyer and decide whether to enter an agreement directly with them. Your business datasets move only after an agreement is signed, directly from your company to the data company.
There is no upfront seller-side commercialization commission. The applicable Commercialization Agreement sets any seller-side success fee and how it is calculated. No buyer match, deal, or payment is guaranteed.