What is company data worth to AI labs?
On our data partner's public price model, a company's records are estimated at about $20K to $1.5M. A 25-person accounting firm with 11 to 17 years of email, accounting, CRM and client files comes out at about $90K to $180K, and a 150-person manufacturer with more than 18 years of records at about $230K to $460K.
How the price model works
The model adds up a base value for each system that holds your records. It then multiplies that total by three factors: one for staff count, one for years of history and one for sector. The result is the low end of the range, and the high end is twice the low end. The model caps the low end at $750K, so its highest range is $750K to $1.5M; larger companies get a custom review. A 100-person law firm with more than 18 years of email, accounting, client files, contracts and matters works out as $60K of base value × 1.7 for staff × 1.65 for years × 1.2 for legal, which gives about $200K to $405K. The estimate is a rough guide from the model. Our data partner makes a written offer only after it reviews what you actually hold.
Base value by record type
| Record type | Base value |
|---|---|
| Accounting or ERP | $18K |
| CRM | $18K |
| $14K | |
| Support tickets | $14K |
| Team chat | $14K |
| Call recordings | $14K |
| Contracts | $10K |
| Databases | $10K |
| Client files | $9K |
| Projects or matters | $9K |
| Code repositories | $18K |
| CAD, engineering or design files | $18K |
| Jobs and field operations | $12K |
| Orders and point of sale | $10K |
| HR and recruiting | $7K |
Multipliers for staff, years and sector
Staff count has the largest effect. A company of 1,000 people gets 3.2 times the base value, and a 10-person company gets 0.85 times. Values between the listed points are interpolated.
| Staff | 1 | 10 | 25 | 50 | 100 | 250 | 1,000+ |
|---|---|---|---|---|---|---|---|
| Factor | 0.6 | 0.85 | 1.0 | 1.3 | 1.7 | 2.3 | 3.2 |
Years of history come next. Eighteen or more years of records are worth 3.3 times as much as one or two years.
| Years of records | 1 to 2 | 3 to 5 | 6 to 10 | 11 to 17 | 18+ |
|---|---|---|---|---|---|
| Factor | 0.5 | 0.8 | 1.12 | 1.45 | 1.65 |
Sector factors run from 0.85 to 1.2. Legal records get the highest factor.
| Sector | Factor |
|---|---|
| Legal | 1.2 |
| Construction, financial services (wealth, lending, collections), semiconductors | 1.15 |
| Insurance, software and SaaS, biotech and life sciences, aerospace and defense | 1.1 |
| Accounting and tax, manufacturing, chemicals and materials | 1.05 |
| Professional services, healthcare, logistics | 1.0 |
| Wholesale and distribution, real estate, IT services, recruiting and staffing, other | 0.95 |
| Retail and e-commerce, marketing agencies | 0.9 |
| Food and hospitality | 0.85 |
Worked examples
| Company | Records | Estimate |
|---|---|---|
| 10-person firm, 3 to 5 years | Email, accounting | $20K to $40K |
| 25-person accounting firm, 11 to 17 years | Email, accounting, CRM, client files | $90K to $180K |
| 40-person software company, 6 to 10 years | Email, CRM, support tickets, team chat, projects, databases | $115K to $230K |
| 60-person wealth and advisory firm, 6 to 10 years | Email, accounting, CRM, client files | $105K to $210K |
| 80-person construction company, 11 to 17 years | Email, accounting, contracts, projects, client files | $155K to $310K |
| 100-person law firm, 18+ years | Email, accounting, client files, contracts, matters | $200K to $405K |
| 150-person manufacturer, 18+ years | Email, ERP, CRM, contracts, databases | $230K to $460K |
| 1,000-person logistics company, 18+ years | Email, ERP, CRM, files, contracts, support, chat, calls, projects, databases | $685K to $1.4M |
How these numbers compare with real deals
In October 2026 our data partner said one company had recently been offered $480K for its data, and that most companies get offers between $100K and $1M. micro1, which plans to spend $1 billion on company data over 12 months, publishes three tiers: more than $100,000 for a qualified partnership, more than $500,000 for large datasets or work across several teams, and more than $1 million for highly unique data. Deals for companies that have shut down are often smaller. Forbes reported that the wind-down firm SimpleClosure had handled about 100 data deals in a year, with payouts of $10,000 to $100,000, although the former CEO of Cielo24 sold 13 years of that company's archives for hundreds of thousands of dollars.
What raises or lowers the price in review
- The real size of the archive. Estimates are based on your answers, and the offer is based on what you actually hold.
- How complete the history is. Gaps, deleted mailboxes and systems you cannot export lower the value.
- What you leave out. You can exclude any system, and the offer reflects what remains.
- Whether you have the right to share it. Records covered by contracts that forbid sharing cannot be included.
Questions
How much is my company's data worth to AI labs?
On our data partner's public price model, estimates run from about $20K to $1.5M. A 25-person accounting firm with 11 to 17 years of email, accounting, CRM and client files comes out at about $90K to $180K. Only a written offer after review is a real price.
What makes company data more valuable?
More staff, more years of history, more systems and a sector that buyers want. In the model, 18 or more years of records are worth 3.3 times as much as 1 to 2 years, and legal records get the highest sector factor, 1.2.
Why do law firms get a higher estimate?
The model gives legal the highest sector factor, 1.2. Legal work leaves a dense written record: contracts, matters, disputes and transaction files.
Run the model on your own company
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Get an estimatefinData introduces established companies to our data partner, a marketplace that licenses business data to AI labs. If you license your data through them, they pay us a referral fee. You pay nothing. Read how the process works or the questions on our home page.
Sources
- Our data partner's public price model (base values and factors as published on its website, October 2026).
- The Next Web, "micro1 commits $1bn to buy company data for training AI agents", 9 October 2026: thenextweb.com
- Forbes, Anna Tong, "AI's new training data: your old work Slacks and emails", 16 April 2026: forbes.com