A closed deal's data room, model and memo together are what AI data buyers ask investment firms for.
Private equity, private credit and growth funds, boutique banks, quality-of-earnings providers and wealth managers with years of closed deals: partners and COOs deciding whether deal records can be licensed.
Mercor's listing for investment firms puts a deal at $50,000 to $800,000 ("Depends on deal count and completeness").
AIData.Broker represents you in selling it: we value your data against public prices, describe it without your name to every buyer whose published rules it meets, at the same time, and help you negotiate the terms, for holders based in the United States, the United Kingdom and Canada. Our fee is 12% of the first $250,000 a sale pays you, and nothing if no sale closes.
Short answers · figures from the market's records, last reviewed 27 Oct 2026
Can a private equity firm sell its deal data rooms and models to AI companies?
Yes, where the NDAs allow it. Mercor's listing for investment firms asks for the data room, model and memo of the same closed deals and at least three years of deal history, and puts a deal at $50,000 to $800,000. Data room documents belong to the companies that shared them, under NDAs that often forbid any other use, so the firm can license only what it owns or what the NDA permits. AIData.Broker values the firm's records and puts them before every buyer whose rules they meet.
What companies like yours hold
What you typically have, where it sits, and whether the valuation can measure or value it. Buyers price what exists together, over how many years, and how well it links.
- Closed deal recordsWhere it sits, and what the evidence showsThe data room, the CIM, the model and the investment memo for the same deal, in Datasite, Intralinks, DealCloud or shared drives.How the valuation reads itMeasured from your documents exportCounted with documents and knowledge
- Credit filesWhere it sits, and what the evidence showsCredit agreements with their term sheets and the analysis behind each decision.How the valuation reads itMeasured from your documents exportCounted with documents and knowledge
- Portfolio reportingWhere it sits, and what the evidence showsQuarterly reporting over several cycles, with the notes on what changed.How the valuation reads itMeasured from your finance records exportCounted with finance records
- Client recordsWhere it sits, and what the evidence showsFor wealth managers: holdings, statements and advisor notes, which are clients' financial records.How the valuation reads itMeasured from your finance records exportCounted with finance records
What buyers say they want from companies like you
In their own words, from their own pages or from reporting on what they bought. Each opens its source.
“License closed-deal records, credit files and portfolio reporting.”
Mercor, its listing "Investment Firm"Its own page, 27 Oct 2026 “Records from closed deals: data rooms, CIMs, models and investment memos for the same deals. The right to license deal and portfolio documents once anonymized. 3+ years of deal history”
Mercor, what the listing asks forIts own page, 27 Oct 2026 “Credit agreements with their term sheets. Quarterly portfolio reporting over several cycles. Banker deliverables with their sources. Wealth management client records: holdings, statements, advisor notes, KYC files (de-identified). Fund holdings, benchmarks, pricing and ESG data”
Mercor, what it would also likeIts own page, 27 Oct 2026
What raises the value
- The full chain for one deal: data room, model and memo together.
- Deals that were passed on as well as those that closed, with the reason.
- Several cycles of the same portfolio companies' reporting.
- History the listing measures in its own words: "3+ years of closed deals".
What lowers the value
- What the listing rules out: "Firms whose only records are their own operating finances", "Documents under NDAs that forbid licensing".
- Models with no memo or source documents behind them.
A line that quotes a buyer names it. The others are our checklist, drawn from the factors buyers state in general: no buyer publishes how much each one moves a price. How often each factor matters across 156 kinds of data.
The rights to settle first
These stop a sale more often than price does. Each can be settled before any buyer sees a record.
- Data room documents belong to the companies that shared them, under NDAs that often forbid any other use: those documents are licensable only where the NDA or the company allows it.
- Deal documents of listed companies can hold material non-public information until the deal is public.
- Clients' account details are people's bank, card or account details: we don't take customers' financial records to market.
What is already on offer from companies like you
Read this morning from the brokers' and marketplaces' own catalogues. A buyer compares your records with these; settled rights, more years and more linked systems are what set one apart.
- AI / Financial Services Technology: OP1310 years · Appen data catalog
- Fintech AI: OP48 years · Appen data catalog
- Fintech: OP176 years · Appen data catalog
- UK commercial real-estate loan performance6 years · Grepped marketplace
- Fintech: OP95 years · Appen data catalog
- US tax-return computation cases: source documents to correct federal and state returns4 years · Grepped marketplace
- Finance: OP73 years · Appen data catalog
- FinTech/Doorstep Gold Loan Services: FinTech-603 years · Appen data catalog
What holders like you ask
- What is an investment firm's data worth to an AI buyer?
- Mercor's listing for investment firms puts a deal at $50,000 to $800,000 ("Depends on deal count and completeness"). It asks for 5–200 employees (Anywhere). What moves an offer within the range is what the listing names: how complete the records are, how far back they go and whether you can license them.
- What exactly does the buyer ask for?
- Mercor's listing asks for "Records from closed deals: data rooms, CIMs, models and investment memos for the same deals", "The right to license deal and portfolio documents once anonymized", "3+ years of deal history". It would also like "Credit agreements with their term sheets", "Quarterly portfolio reporting over several cycles", "Banker deliverables with their sources", "Wealth management client records: holdings, statements, advisor notes, KYC files (de-identified)", "Fund holdings, benchmarks, pricing and ESG data". It rules out "Firms whose only records are their own operating finances", "Documents under NDAs that forbid licensing".
- What will a buyer ask us first?
- Mercor's listing names its first questions: "How many closed deals do you keep full records for?", "Do you keep models and memos alongside the data rooms?", "Can deal documents be licensed once anonymized?", "Which strategies: buyout, credit, advisory, wealth?". Have the answers before you start.
- How do we sell through you?
- Start with the valuation. It reads what you hold against public prices and against the rules each buyer publishes; then either we run the sale for you, describing your records without your name to every buyer whose rules they meet, or, where a buyer's own programme fits you better, we introduce you to it, free for you. The holder pays us a fee fixed in the mandate, and only if a sale closes. In a sale we run no buyer pays us, so our fee depends on what you are paid, not on which buyer pays it. A buyer pays us only if you choose to apply to it through its own referral programme, and you see that amount in writing before you choose.
Other kinds of holder
- Software companies and startups
- Marketplaces and consumer apps
- Industrial, manufacturing and engineering firms
- Professional services firms
- Law firms
- Accounting and tax firms
- Medical practices and clinics
- Imaging and diagnostics centres
- Digital health companies
- Cybersecurity companies
- Semiconductor and materials companies
- Biotech and life sciences labs
- Publishers and education companies
- Video studios
- Game studios
- Support-heavy businesses and contact centres
- Contractors, builders and trades
- Closing startups and estates
- Builders of task sets and environments
- What AI labs are buying, for every kind of holder
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- PageWhere data comes fromWho holds each kind of data, how much exists and how it reaches buyers.
- RegisterCompanies closingCompanies closing, sold or gone dark, and the records they leave.