Support tickets & chats
Problem, back-and-forth, fix and outcome, in order.
TKT-48213 · nightly sync fails → logs requested → config rollback → solved, CSAT 5
Zendesk, Intercom, Freshdesk, ServiceNow, Jira Service Management
Data licensing for established US companies
Your company's data could be worth money to AI labs.
AI labs license real business records to train and test their models: email and chat, support tickets, CRM history, documents, code, finance and operations. Talkbase values what you have, finds the buyers and runs the deal. Personal details come out, your name stays private until you approve, and you sign off on every term.
- No upfront fee
- No files to start
- You keep ownership
- You approve every term
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FREIGHT BROKER60 office staff · 8 yrs on one TMS · dispatch chat, quotes, claims · outcomes recordedACCOUNTING FIRM45 staff · 11 yrs · review notes, workpapers, internal tickets · client files kept outSAAS COMPANY6 yrs on one help desk · resolved tickets with escalations · linked to codeMANUFACTURER20+ yrs · CRM, orders, quality investigations, CAD · rare fieldINSURANCE AGENCY5 yrs of quotes, policies and renewal notes · won/lost reasonsGENERAL CONTRACTOR10 yrs of RFIs, change orders and site logs · decisions + costsMANAGED IT PROVIDER7 yrs of tickets, runbooks and post-incident reviews · own proceduresMARKETPLACE55 staff · CRM, sales calls, support, team chat · multi-systemFIELD SERVICE15 yrs of work orders with diagnosis, parts and callbacks · complete jobsCLOSED STARTUPSlack, email, Jira and code from 4 years of operation · one-time archive
$100K–$2MWhere most approved company-data deals land, according to ranges buyers publishBuyer-published ranges, 2026
$10MGoogle's winning bid for bankrupt Spirit Airlines' internal emails, chats and recordsBankruptcy court notice, Aug 2026
24 moThe exclusivity buyers usually ask for. After that you can license again.Common buyer term
$0Upfront cost to you. We're paid only when a deal closes.Our terms
Why now
AI has read the open web. It hasn't seen how real work gets done.
To act like a good employee, an AI model needs examples of real work: how a request came in, what people tried, what they decided and how it ended. That record lives inside companies like yours, in systems nobody outside can scrape.
Labs now buy it directly, and the companies that sell first set the terms. Most businesses with 25 or more people at desks and a few years on the same tools already hold enough to interest a buyer. They just store it.
What makes company data valuable →CLIENTHi, it's Lena Ortiz at Larkmont Fixtures. PO 77120 arrived two crates short. Call me at (509) 555-0162?
OPSSorry, Lena. This is Sam. Redfern Haulage split the load in Spokane. Re-delivery is booked for Thursday and I've credited the freight.
CLIENTThanks. Send the credit memo to lena.ortiz@example.com.
OUTCOMEResolved in 2 replies · re-delivery booked · freight credited · carrier flagged for review
Fictional threadIdentifiers replaced: 9Same person, same placeholder: yesMethod: tools + human review
What we license
All of your company's data. Not just one kind.
Buyers pay for records that show reasoning and results. Tap any card to add it to your estimate. It updates everywhere on the site.
Email & team chat
Threads where requests, pushback and decisions happen.
THREAD · client asks for rush order → ops pushes back → split shipment agreed
Gmail, Outlook, Slack, Microsoft Teams, Google Chat
CRM & sales history
Deals through every stage, with notes on why they were won or lost.
DEAL · pricing objection → pilot offered → won, 14 months later renewed
Salesforce, HubSpot, Pipedrive, Zoho CRM, Microsoft Dynamics
Documents, SOPs & knowledge base
How your processes run, with versions and comments.
RUNBOOK 3.2 · failed nightly export · steps rewritten after outage · 9 comments
Google Drive, SharePoint, Confluence, Notion, Dropbox, Box
Source code & engineering history
Commits, pull requests and reviews that explain why code looks the way it does.
PR #2214 · race in retry loop → review asks for test → fixed, bug closed
GitHub, GitLab, Bitbucket, Azure DevOps
Operations, orders & field work
Orders, dispatch, work orders, quotes and exceptions with timestamps.
LOAD 5512 · pickup delayed → carrier swapped → delivered on time
Shopify, ServiceTitan, Procore, Samsara, Epicor, a TMS or WMS
Value estimator
What could your data be worth?
Move anything and every number moves with it. The free valuation turns this into a real figure.
Data you hold
Indicative range
—
60 staff · 5 yrs · Other / mixed
$10K$100K$1M$10M
Illustrative only. Anchored to ranges buyers and brokers published in 2026; the weights for team size, history, data type and industry are our own assumptions. Your picks carry over to the valuation form, the rights checker and every data card on this site. An estimate is not an offer.
The market is real
What buyers have paid in public
Most company deals stay private under confidentiality clauses. These are the ones that were reported.
| Seller → buyer | What was licensed | Reported value | Source |
|---|---|---|---|
| Reddit → Google | Public posts and comments | About $60M a year | Reuters, Feb 2024 (reported, not confirmed by the companies) |
| News Corp → OpenAI | News archive and current journalism | Reported at more than $250M over five years, partly in credits | Wall Street Journal, May 2024 (reported) |
| Shutterstock | Image and video library, several buyers | $104M AI licensing revenue in 2023 | Bloomberg, 2024 (reported) |
| Taylor & Francis → Microsoft | Academic books and journals | $10M initial fee plus recurring payments | Company disclosure, 2024 |
| Spirit Airlines estate → Google | About 100M internal emails, 500M Teams messages, operations records and code, de-identified | $10M winning bid | Bankruptcy court notice, Aug 2026, via Bloomberg Law and TIME. Court approval pending; sale hearing set for Nov 6, 2026. |
| Closed startups → AI labs | Slack, email, Jira and code archives | $10K to $100K each, about 100 deals in a year | Forbes, Apr 2026, citing wind-down firm SimpleClosure |
Company names appear only to report public deals. They do not imply partnership, endorsement or current buyer interest. These are mostly publishers and platforms with clean rights at huge scale, so they are the top of the market, not a benchmark. A single company is priced on how hard its records are to find elsewhere. The rules are the same: rarity, history, outcomes and clean rights.
How it works
From first form to first payment
About ten minutes from you to start, and a few hours over the whole deal. We do the rest.
Value it
Team size, systems, years and who owns what. Counts only, no files.
~10 minutesCheck rights
We separate what you own, read your terms and agree what stays out.
Week 1–2Buyers quote
An anonymous one-page summary goes to buyers under NDA. Never your data.
Week 2–6Approve & get paid
You pick the offer. Data is de-identified, delivered and paid on milestones.
Typically 30–90 daysWhat sets the price
Six things every buyer checks
Rarity
Could the buyer get something similar elsewhere? A decade of one specialist workflow beats a bigger generic archive.
Continuous history
Years on the same tools. A software switch resets the clock, so five unbroken years can beat ten split ones.
Outcomes
Solved or not, won or lost, approved or rejected. Results turn records into lessons a model can learn from.
Linked records
A ticket tied to the chat, the code change and the CRM note is worth more than any of them alone.
Volume, as a threshold
Enough data gets a buyer to look. After that, price follows quality and scarcity, not gigabytes.
Clean rights
Data you can't show you may license is worth little. Clear ownership speeds the deal and protects the price.
You stay in control
Private by design. Approved by you.
Never named
Buyers see an anonymous summary first. Your name is released only after you approve.
De-identified
Names, numbers and accounts become consistent placeholders, checked by people before delivery.
Your call
You approve the buyer, price, scope and use. Turn down any offer at any time.
You keep it
You license a copy for a defined use. Ownership and your own use never change.
For established US companies with 25+ people at desks and years of records on the same tools, in any industry. Software, finance, legal, manufacturing, logistics, construction, healthcare admin, field service and more.
Common questions
Straight answers
Are we selling our data or licensing it?
Licensing. A buyer gets the right to use an agreed, de-identified copy for agreed purposes. Your company keeps ownership and keeps using its data.
Is it legal?
Licensing your own operating data is an ordinary commercial agreement. Three checks decide each dataset: you own it, your contracts allow de-identified use, and personal information can be removed. See how we check.
What does it cost us?
Nothing upfront. We're paid a success fee only when a deal closes, at a rate agreed in writing before we start.
Do you need access to our systems?
No. The valuation asks for counts and years, not files. Later you export only the agreed data, after you've approved a buyer.
How long does it take?
Deals like this typically take 30 to 90 days from first call to signed license, depending on how much data there is and how much testing the buyer wants. That's an estimate, not a promise.
Free valuation
Find out what your company's records are worth.
A free valuation takes about ten minutes. No files, no logins, no obligation.