data practice / companies · sell your data

Sell company data to AI companies. Valued free, licensed on your terms.

AI labs now pay businesses for the trail that real work leaves behind: support tickets, CRM history, accounting files, job and patient records, call recordings, code, and video, with the outcomes attached. If you want to sell company data to AI companies, eeko values it free, reviews rights and privacy first, strips out personal data, and licenses it to approved buyers who never learn your company's name.

Free valuation by a person Rights reviewed before sharing Company never named Reply inside one business day
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typical starting point
$250K+
for a single company's operational archive
valuation reply
1day
one business day, from a person, free
companies named to buyers
0
anonymous by default, confidentiality signed
records shared before approval
0
you sign off the dataset before delivery

What does it mean to sell company data to AI companies?

To sell company data to AI companies is to license the operational records a business generates simply by operating, so that an AI lab or an enterprise AI team can train and evaluate models on them. The buyer pays a fee for a defined use and term. You keep ownership, your customers are never identifiable, and your company is not named. It is a licence, not a transfer, and the better deals are structured so that the same archive can be licensed more than once.

The demand is real and recent. The newest models are being trained to act as agents that finish whole tasks, and to learn that they need examples of tasks completed inside working companies, with the outcome on file: the ticket and its resolution, the quote and whether it closed, the pull request and whether it was merged or reverted. The open web does not contain that. Your helpdesk, your CRM, your accounting system, and your job records do.

eeko sits on both sides of this market. We build production AI agents and enterprise workflows for regulated companies, and the models behind them need exactly this kind of data. Our AI training data practice exists to source it properly: consented, rights-cleared, de-identified, and delivered with a verifiable record. This page is where a business finds out what its own records are worth.

Why AI companies are buying business data now.

Three shifts, all pointing at the records sitting in your systems.

01 / supply
The open web has been used up
Every large model has already trained on the public internet. The next gains come from the private history of how companies actually run, and that history has to be licensed from the businesses that hold it.
02 / agentsDEMAND
Agents learn from worked examples
To train a model to resolve a ticket or process a claim, labs reconstruct the real workflow and score the model against the outcome your team reached. That needs your tickets and your outcomes.
03 / outcomes
Outcomes cannot be faked
A lost deal, a reverted fix, a claim that was denied and then overturned teach a model as much as a win does. A decade of that history cannot be generated synthetically, which is why it has a price.
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Helpdesks, CRMs, issue trackers, finance tools, and dispatch boards: wherever your team works, it is generating the records buyers want.

The company data AI buyers pay for.

Each of these is worth more when it is linked to the others and when the result is recorded alongside the work.

support
Support tickets and chat logs
Each customer question, its answer, who escalated it, and how long resolution took.
crm
CRM, sales, and quotes
Pipelines, call notes, proposals, and pricing, with the deals that closed and the ones that did not.
code
Code, issues, and incidents
Repositories with their reviews, bug reports, and post-incident write-ups, showing which changes shipped, which were rolled back, and what got fixed.
finance
Accounting and operations
Invoices, approvals, reconciliations, procurement, and the exceptions a person had to resolve by hand.
records
Job, claim, and patient records
Work orders, estimates, adjuster notes, scheduling, billing, and clinical administration, de-identified before anyone sees them.
mediaRARE
Calls, video, and sensor data
Call recordings tied to the account they concern, site and inspection footage, dashcam, and machine or fleet telemetry with success or failure logged.

How much is your company data worth? Six things decide it.

A buyer asks one question: what can we train or test with this that we cannot already? The more of these your archive has, the higher the answer.

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The valuation scores each source you hold against live buyer demand and tells you which to include.

The six price drivers

  • Scarcity — a niche industry, a process nobody else runs, or customers who are hard to reach beats records every company has.
  • Years of history — patterns take time to appear. Five years of records are worth far more than five months.
  • Links between systems — a ticket connected to the chat thread, the account, and the code change that closed it is worth multiples of three separate exports.
  • Recorded outcomes — closed or escalated, won or walked, merged or rolled back. Outcomes are the signal a model learns from.
  • Clean rights — ownership that is clear, agreements that permit licensing, and personal data that can be removed. We work through this with you.
  • Current demand — workflow records with outcomes, used to train agents, top the request list among the buyers we work with.

Publicly reported licences between large content platforms and AI labs have run from tens of millions of dollars a year to a quarter of a billion over a multi-year term, and an airline's operational archive drew an eight-figure bid in bankruptcy court. A single mid-sized company's archive typically starts in the low six figures. The valuation shows where you land.

How to sell your data to AI companies without losing control of it.

Nothing leaves your systems until the terms are signed and you have approved the prepared dataset. Each step waits for you.

STEP 01
Tell us what you hold
Which systems, how many years, and who owns the records. The form below takes two minutes. No upload, no access to your systems, nothing shared.
STEP 02
Valuation and scoping
Inside one business day a person matches your sources against active buyer demand, gives you a number, and proposes which sources to include and which to leave out.
STEP 03
Rights review and preparation
We read the agreements you hold with customers and vendors plus your privacy obligations, draft the licence in plain language, then remove or mask names, faces, voices, and account numbers and format the dataset. You approve it.
STEP 04
Licensed and paid
The dataset goes to approved buyers under confidentiality, with your company never named. A signed receipt lists every record delivered, and you are paid per licence.

Sell your data: get the free valuation.

Free and confidential. A person on the eeko data team reads what you hold and comes back inside one business day with the buyer demand and a number. No data is shared by submitting this form.

Free · confidential · reply inside one business day
[ received ]

Your valuation request is with the data team.

A person looks at what you hold and we answer inside one business day with the buyer demand, a valuation, and what a licence would look like. Nothing has been shared. To add detail or ask a question first, write to thomas@eeko.systems.

Sell once, or license and keep selling.

outright sale
One payment, control gone

A buyer takes the archive and the rights with it. You are paid once, you cannot offer the same records to anyone else, and you have no say in how they are used after the contract is signed.

  • Paid once No second buyer, no renewal
  • Rights transfer You no longer own the copy you sold
  • No term The use never expires
  • No feed New records earn nothing
licence through eeko
Paid per buyer, ownership kept

The archive stays yours. A non-exclusive licence can go to several buyers, an exclusive one pays a premium for sole access over a term, and a standing feed of fresh records renews on a schedule. Every licence has an end date and a signed receipt.

  • Paid per licence Several buyers, or one at a premium
  • Ownership kept Buyers get a scoped right, not the copyright
  • Fixed term Use ends when the licence does
  • Feeds renew New records become new revenue

Which businesses can sell their data? Any with several years of records.

The records differ by industry. The valuation is the same.

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Services and trades — calls, estimates, job notes, photos from the field, and dispatch logs.
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Professional services — contracts, filings, workpapers, claims, underwriting, and review work.
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Industrial and logistics — work orders, inspections, line footage, telematics, and maintenance records.

Selling company data to AI companies: your questions.

Can a business sell its data to AI companies?

Yes, provided the business owns the records and licenses them properly. AI labs and enterprise AI teams are actively paying for the records of real work: helpdesk tickets, CRM histories, accounting files, job and patient records, call recordings, source code, and video. eeko values what you hold, reads your contracts and privacy obligations before anything moves, removes personal data, and licenses the result to approved buyers without naming your company.

What do AI companies pay for company data?

For a single company's operational archive, deals commonly start in the low six figures and climb into the millions when the history is deep and the records show outcomes. Publicly reported content and data licences between large platforms and AI labs have run from tens of millions per year to a quarter of a billion dollars over several years. Your figure depends on how unusual the data is, how many years it covers, how well it is linked across systems, and how clean the rights are. The free valuation puts a number on it.

What company data is worth selling to AI companies?

Almost any record of work with the result attached: tickets and how they were resolved, deals won and lost, invoices and the exceptions someone handled by hand, contracts with their revisions, code with its reviews and incident write-ups, calls and chats tied to the account they concern, inspection photos, site footage, and fleet or machine telemetry. History, linkage between systems, and recorded outcomes matter far more than tidy formatting.

Is selling company data for AI training legal?

It is legal when the company owns the data and the licence respects its contracts and privacy law. That is the point of the rights review: we read the agreements you hold with customers and vendors, confirm ownership, and check obligations under GDPR, CCPA, HIPAA, and sector rules before a single record is shared. Personal data is removed or masked, the licence states exactly what the buyer may and may not do, and you sign off the prepared dataset before delivery.

Will our customers or our company be identifiable in the data?

No. Buyers are never told which company the data came from. Before delivery, names, email addresses, phone numbers, account identifiers, faces, and voices are stripped out or masked, and every buyer is bound by confidentiality terms that prohibit re-identification. You review and sign off the prepared dataset, and a signed delivery receipt records precisely what was handed over.

Should we sell our data outright or license it?

License it. An outright sale pays once and ends your control. Non-exclusive terms let several buyers license the same archive, a standing feed of fresh records renews on a schedule, and an exclusive licence pays a premium when a buyer wants sole access for a term. In every case you keep ownership and the licence expires. We walk through the options in the valuation and you choose.

Our records are messy and spread across systems. Are they still worth anything?

Usually, yes. Messy is normal and buyers expect it; what they pay for is history, outcomes, and the links between systems, not formatting. Cleanup, de-duplication, linking a ticket to the chat thread and the fix that closed it, and export into standard formats are part of the preparation we do. Tell us the systems you use and how far back they go, and the valuation will say what is worth including.

Find out what your records are worth before someone else does.

Two minutes on the form. One business day for a number from a person who has seen what buyers are paying. Free, confidential, and nothing is shared until you have signed the terms and approved the dataset. No deck. A valuation.

Experienced within

  • SOC 2 Type II
  • ISO 27001
  • HIPAA
  • HITRUST r2
  • ISO 27701
  • PCI DSS
  • NIST CSF 2.0
  • CMMC
  • FedRAMP
  • GDPR

Markets served.

As an enterprise AI agency, eeko systems delivers production AI systems remote-first across the United States and internationally — including these markets:

New York City, New York (NY)

Los Angeles, California (CA)

Chicago, Illinois (IL)

Houston, Texas (TX)

Phoenix, Arizona (AZ)

Philadelphia, Pennsylvania (PA)

San Antonio, Texas (TX)

San Diego, California (CA)

Dallas, Texas (TX)

San Jose, California (CA)

Austin, Texas (TX)

Jacksonville, Florida (FL)

Fort Worth, Texas (TX)

Columbus, Ohio (OH)

Charlotte, North Carolina (NC)

Indianapolis, Indiana (IN)

San Francisco, California (CA)

Seattle, Washington (WA)

Denver, Colorado (CO)

Washington, District of Columbia (DC)

Boston, Massachusetts (MA)

El Paso, Texas (TX)

Nashville, Tennessee (TN)

Detroit, Michigan (MI)

Oklahoma City, Oklahoma (OK)

Portland, Oregon (OR)

Las Vegas, Nevada (NV)

Memphis, Tennessee (TN)

Louisville, Kentucky (KY)

Baltimore, Maryland (MD)

Milwaukee, Wisconsin (WI)

Albuquerque, New Mexico (NM)

Tucson, Arizona (AZ)

Fresno, California (CA)

Sacramento, California (CA)

Kansas City, Missouri (MO)

Atlanta, Georgia (GA)

Miami, Florida (FL)

Colorado Springs, Colorado (CO)

Raleigh, North Carolina (NC)

Omaha, Nebraska (NE)

Long Beach, California (CA)

Virginia Beach, Virginia (VA)

Oakland, California (CA)

Minneapolis, Minnesota (MN)

Tulsa, Oklahoma (OK)

Arlington, Texas (TX)

New Orleans, Louisiana (LA)

Wichita, Kansas (KS)

Cleveland, Ohio (OH)

Tampa, Florida (FL)

Bakersfield, California (CA)

Aurora, Colorado (CO)

Honolulu, Hawaii (HI)

Anaheim, California (CA)

Santa Ana, California (CA)

Corpus Christi, Texas (TX)

Riverside, California (CA)

Lexington, Kentucky (KY)

St. Louis, Missouri (MO)

Stockton, California (CA)

Pittsburgh, Pennsylvania (PA)

Saint Paul, Minnesota (MN)

Cincinnati, Ohio (OH)

Greensboro, North Carolina (NC)

Anchorage, Alaska (AK)

Plano, Texas (TX)

Lincoln, Nebraska (NE)

Orlando, Florida (FL)

Irvine, California (CA)

Newark, New Jersey (NJ)

Toledo, Ohio (OH)

Durham, North Carolina (NC)

Chula Vista, California (CA)

Fort Wayne, Indiana (IN)

Jersey City, New Jersey (NJ)

St. Petersburg, Florida (FL)

Laredo, Texas (TX)

Madison, Wisconsin (WI)

Chandler, Arizona (AZ)

Buffalo, New York (NY)

Lubbock, Texas (TX)

Scottsdale, Arizona (AZ)

Reno, Nevada (NV)

Glendale, Arizona (AZ)

Gilbert, Arizona (AZ)

Winston-Salem, North Carolina (NC)

North Las Vegas, Nevada (NV)

Norfolk, Virginia (VA)

Chesapeake, Virginia (VA)

Fremont, California (CA)

Garland, Texas (TX)

Richmond, Virginia (VA)

Baton Rouge, Louisiana (LA)

Boise, Idaho (ID)

San Bernardino, California (CA)

Spokane, Washington (WA)

Des Moines, Iowa (IA)

Modesto, California (CA)

Birmingham, Alabama (AL)

Tacoma, Washington (WA)

Fontana, California (CA)

Oxnard, California (CA)

Fayetteville, North Carolina (NC)

Huntsville, Alabama (AL)

Moreno Valley, California (CA)

Rochester, New York (NY)

Glendale, California (CA)

Yonkers, New York (NY)

Augusta, Georgia (GA)

Amarillo, Texas (TX)

Little Rock, Arkansas (AR)

Akron, Ohio (OH)

Shreveport, Louisiana (LA)

Grand Rapids, Michigan (MI)

Mobile, Alabama (AL)

Salt Lake City, Utah (UT)

Huntsville, Texas (TX)

Tallahassee, Florida (FL)

Overland Park, Kansas (KS)

Knoxville, Tennessee (TN)

Worcester, Massachusetts (MA)

Brownsville, Texas (TX)

New Port Richey, Florida (FL)

Jackson, Mississippi (MS)

Providence, Rhode Island (RI)

Fort Lauderdale, Florida (FL)

Sioux Falls, South Dakota (SD)

Tempe, Arizona (AZ)

Cape Coral, Florida (FL)

Springfield, Missouri (MO)

Pembroke Pines, Florida (FL)

Eugene, Oregon (OR)

Peoria, Arizona (AZ)

Corona, California (CA)

Lancaster, California (CA)

Rockford, Illinois (IL)

Salinas, California (CA)

Palmdale, California (CA)

Springfield, Massachusetts (MA)

Charleston, South Carolina (SC)

Duluth, Minnesota (MN)

London, England (ENG)

Dublin, Ireland (IRE)