AI Data Brokerage · Category Hub

Your business has another asset: its operating data.

AI companies are paying operating businesses for the historical record of how work gets done — the estimate that became a job, the ticket that became a resolution, the load that became an invoice. We represent the owner.

We advise the owner. We are not the AI company. We do not take a license of your data.

Our position
  • Seller-side only
    We represent the business owner. Not a marketplace. Not a buyer.
  • No data moves through us
    Export is owner-admin console → buyer, after written approval.
  • Success-fee engagement
    No retainer. No monthly fee. Fee only if you are paid.
  • Owner approves everything
    Every buyer. Every category. Every draft license.
  • Axial Top 251H 2026 & 2025
  • 100+ dealsclosed
  • 7+ yearsin-trade
  • J.D., Columbia LL.M.reviewed by
About the firm →
What this is

What is AI data brokerage?

AI data brokerage is the practice of licensing a cleaned, de-identified copy of an operating business’s historical records to AI companies that need real-world examples of how work gets done. The business owner retains every original record, every customer relationship, and the company itself. Only defined use rights are transferred, for a defined time, for a defined purpose. Main Street Wealth represents the owner on this transaction — we are not the buyer, not a marketplace, and we do not take a license of your data ourselves.

Historically, AI companies trained on publicly scraped text. That phase is ending. The frontier labs now want the chain that public text does not expose — the estimate that became a job, the ticket that became a resolution, the load that became an invoice, the matter that became a bill. Public text shows what work looks like from the outside. Your records show what work actually is.

A new intermediary market has emerged to source that record set. Marketplaces, data processors, and sales teams now call owners directly. Some of their ranges will not survive contact with a real file; some are higher than the owner expected. The counter-party is a sales team, and the form they bring is the counter-party’s form. We bring the owner’s form, the owner’s counsel, and two written quotes before any draft license.

Our role

We represent the business owner.

The emerging market has marketplaces, buyers, processors, and sales teams. We play one role: your advisor.

Not a marketplace.

A marketplace is incentivized by the clearing of any trade. We are incentivized only when the owner is paid, on terms the owner approved.

Not a buyer.

We do not take a license of your data. We do not re-sell your records. Export is from your own admin console directly to the buyer, after your written approval.

Seller-side M&A roots.

Our firm has been underwriting owner-side transactions in home services for seven years. The same discipline runs the data license: competitive process, written ranges, owner-approved every category.

Ready to find out

See if your file is worth taking to buyers.

20-minute form. No files, no logins. Written yes or no in one business day. If buyers pass, you owe nothing.

Request the evaluation form
Knowledge ecosystem

Seven areas we cover

The topics an owner needs to understand before signing anything. Each links into the live service page or an in-depth guide.

01

AI data licensing fundamentals

What AI data licensing is, how it is structured, what rights change hands, and how it is different from selling the company.

  • Data licensing basics
  • License vs. sale
  • Business data for AI
  • Operational data for AI
  • Training-data market
See the service
02

What data do buyers want

AI companies do not just want text. They want the chain from estimate to invoice, from ticket to resolution, from load to payment. Here is what qualifies.

  • Operating-record categories
  • CRM, ERP, FSM data
  • SOP + process histories
  • Work orders + dispatch
  • Pricing + estimate data
See qualifying data
03

What your data is worth

How buyers price operating records. Headcount sets the band; years, system diversity, and whether the chain from lead to cash is visible set the price inside it.

  • Pricing framework
  • Published floor ranges
  • Factors that move price
  • What depth means
  • Why an estimate is not a bid
See the framework
04Our moat

Home services data moat

The vertical we know best. HVAC, plumbing, roofing, pest, landscaping, pool, electrical — each produces a specific kind of record that AI buyers price differently.

  • HVAC operating records
  • Plumbing + dispatch
  • Roofing + estimates
  • Pest control + routes
  • Landscaping + CRM
See the seven trades
05

Legal, privacy, and risk

What stays out of the file. Vendor terms, customer and employee privacy, NDAs, trade secrets, third-party licensed content. The guardrails that make an engagement safe.

  • Vendor terms + API limits
  • Customer + employee privacy
  • NDAs + third-party rights
  • De-identification
  • Competitor restrictions
See the ten issues
06

How the deal works

Six phases, four to eleven weeks on a typical file. Evaluation, engagement, outreach, negotiation, export, post-license. Every node mapped and clickable.

  • Evaluation form
  • Advisory engagement
  • Two written quotes
  • License + export + cash
  • Owner approval at every step
See the visual roadmap
07

Market intelligence

Published floors, disclosed deals, buyer appetite by vertical. Research the market before any outreach — and before any sales call that asks for your admin password.

  • Published floor ranges
  • Disclosed deal signals
  • Buyer-side archetypes
  • What is a bid
  • What is not a bid
See market context
Our moat

The vertical we know best: home services.

Seven years of in-trade underwriting. The record categories AI buyers pay for the most are the ones field-services operators produce every day: the chain from estimate to work order to invoice, dispatch histories, technician notes, service-plan data.

A generalist advisor will not know a ServiceTitan export from a Housecall Pro export. We do.

See the priority trades
HVAC
ServiceTitan, Housecall Pro, Jobber
Plumbing
ServiceTitan, FieldEdge, QuickBooks
Roofing
AccuLynx, JobNimbus, estimate systems
Pest Control
PestPac, FieldRoutes, route systems
Landscaping
SingleOps, Aspire, LMN
Pool services
Skimmer, HCP, routing systems
Electrical
ServiceTitan, FieldEdge, QuickBooks
Timeline

Four phases. Four to eleven weeks.

Owner time commitment: ~20 minutes on the form + a counsel review window. The rest is us.

1
Week 1

Evaluation

20-minute form. No files, no logins. Written yes or no in one business day.

2
Week 1

Advisory engagement

Six-month exclusive on data licensing only. Does not restrict a sale of the company.

3
Weeks 2–7

Two written quotes

We approach qualified buyers. Written ranges only. Owner approves every category.

4
Weeks 7–11

License, export, cash

Counsel reviews. Owner exports from their own admin console. Fee due within 10 business days.

Category FAQ

Questions owners are asking about the category

Service-specific questions (fee structure, timeline, what stays out of the file) are answered on the service page.

  • AI data brokerage is the practice of licensing a cleaned, de-identified copy of an operating business’s historical records to AI companies that need real-world examples of how work gets done. We advise owners through the license on their side of the transaction — we are not the buyer, not a marketplace, and we do not take a license of your data ourselves.
Next step

Twenty minutes to find out what you have.

A short form, a written yes or no in one business day, and a fee only if buyers pay you.

Prefer email? [email protected]

Main Street Wealth LLC is an M&A advisor. We are not a buyer of your data, and we do not take a license of your data. We are not a data broker. We do not provide legal, tax, or privacy advice; your counsel reviews the advisory agreement and any license before signing. Published ranges reflect what buyers have said or published in public and are not offers. Nothing on this page is a recommendation to license, sell, or disclose any specific record.