For MSPs and IT service providers
Your old tickets, runbooks, and scripts are worth six figures to AI labs.
AI companies are licensing de-identified copies of MSP and IT service records: ticket histories, runbooks, KB articles, and automation scripts. We take yours to the buyers who pay the most for it, then negotiate the price and terms. We handle everything from first call to wire, 100% free to you.
How it works
From first call to wire in four steps.
You approve every step, and it costs you nothing.
- 1Day 1
Tell us what you run on
A few quick fields, nothing to upload.
- jen@ironbridgeit.co
- Company
- Ironbridge IT
- Industry
- IT Services & MSP
- Employees
- 50 to 99
- In business
- 10+ years
- 2Week 1
We take it to market
We map what's licensable and put it in front of every buyer that fits.
- Ticket workflows
- Runbooks and KB articles
- PowerShell scripts
- Client credentials
- 3Weeks 1 to 2
Offers land
One to two weeks in, you see them side by side, and we push for more.
- Buyer A$180K
- Buyer B$250K
- Buyer C$320K
- 4At signing
The wire hits
You sign directly with the buyer, and the money lands in your account.
Incoming wire
$320,000.00
Received
No fee, no obligation.
Why owners use Regulr
We bring the buyers. You pick the best deal.
Every buyer pays for something different. One wants ticket histories and escalation paths, another wants the runbooks and KB articles your team wrote, another wants the scripts your engineers built to fix the same problem for the hundredth time. We know which buyers want records like yours, bring you their offers, and negotiate until the price and terms are right.
The right buyers for your data
We match your records to the buyers who pay the most for them, so your data lands where it's worth the most.
Offers side by side
You see every offer next to the others and pick the best one. One buyer even says it will beat a qualifying written offer from another.7
Terms that protect you
Exclusivity, scope, payment timing, how long they keep your copy, when they delete it. We negotiate all of it.
Warranties you can live with
Draft licenses tend to push warranty and indemnity risk onto the seller. We push it back.8
Offer comparison: managed service provider, 60 people
Example
| Buyer ADay 5 | Buyer BDay 9 | Buyer CDay 15Signed | |
|---|---|---|---|
| Price | $180K | $250K | $320K |
| Exclusivity | 24 months | None | None |
| Paid | In 90 days | Half upfront | On delivery |
| Copy deleted | Not stated | After 3 years | After use |
First offer $180K. Signed at $320K.
+$140K
Why buyers are paying
AI learned to write.
Now it has to learn to work.
AI can already draft the email. What it hasn't seen is how a help desk tech works a locked-out user at 7:58 on a Monday, when a ticket gets escalated instead of closed, or which script finally fixes the printer that broke again. That knowledge lives in years of tickets and runbooks at MSPs like yours, and the budgets are being spent now: just one of our buyers committed $1B over the next 12 months.3
Every ticket your team has closed has a buyer.
Buyers' own advertised terms, October 2026
Ticket histories: priority, routing, escalations, time to fix
Enterprise data programs
$100K to $1M+1
Per company license
Runbooks, SOPs, and KB articles
Software and IT data programs
On request4
Software and IT named a top category
Something else? Project templates, quotes and proposals, billing reconciliation, tech training
We'll find the right buyer
Get my offer →
In the news
The race to buy business data is on.
AI companies are putting real money behind company records like yours. Here's what the press is reporting.
What buyers look for
A real team, years of history,
and the systems to prove it.
Past that first filter, buyers pay most for records that show how work gets done, connected across systems, that are clearly yours to license.
What stays out
Confidential stays confidential.
Owning a record and having the right to license it are different things. We scope only what's clearly yours to license and leave everything else out from day one.
Can be in scope
- Ticket workflows: category, priority, routing, and time to resolve
- Runbooks, SOPs, and KB articles your team wrote
- Scripts and automation, with keys and secrets removed
- Tech training, quotes, and contract templates you own
Stays out
- Client passwords, credentials, and environment documentation
- Security incidents and tickets for healthcare clients
- Data pulled through tools whose terms bar AI use, like Kaseya's API
- Anything a contract, NDA, or court order bars you from sharing
Client names, end users, hostnames, and IP addresses are de-identified before delivery, and you approve the final scope before anything is delivered.
FAQ
Common questions.
You paid for years of this work. Let it pay you back.
A few quick fields to start. No fee, no obligation.
Know an owner sitting on years of records?
Business brokers, M&A advisors, fractional CFOs, and consultants bring us owners who should hear this. We agree partner terms in writing before you make a single introduction.
Who's behind Regulr
Led by Brian Boesen, founder & CEO
Brian is a serial entrepreneur who has spent 14 years building companies from scratch. He's co-founded five, from consumer brands to B2B, and he's been through two acquisitions. He knows what it takes to sell something you built, and what it costs to leave money on the table.
At Regulr, our team runs every deal from first call to wire: we scope your records, take them to the buyers who pay the most, and negotiate until the price and terms are right. We work for you, not the buyer.
Connect on LinkedInbrianboesen.comSources
- 1. micro1, Data partnerships
- 2. Nyne, Sell company data
- 3. The Next Web, micro1's $1B company data program, Oct 9, 2026
- 4. Pewter, eligibility and sectors
- 5. Mercor, Monetize your data
- 6. Yahoo Finance, HUMXN Research Labs $50M program, Oct 13, 2026
- 7. Nyne, Data partnerships
- 8. Legal 500, Selling company data for AI training: what to know before you say yes
- 9. Endless, industries and exclusions
- 10. ABA Model Rule 1.6, Confidentiality of Information
- 11. 26 U.S.C. § 7216, Disclosure of tax return information
Buyer figures are each company's own advertised terms as of October 2026, not verified deals and not Regulr results.