The marketplace for sanitized business data
Get multiple fair-market offers. Your data could be worth up to $2M+
Big Data/Little Guy helps businesses turn proprietary operating data into a market-ready asset, then brings it to qualified AI buyers who may compete for the opportunity. Nothing personal leaves your business. No customer identities, no pricing formulas, no trade secrets. Start with a few questions, not a data transfer.
Multiple buyer potential
Where demand exists, more than one buyer may bid.
You stay in control
You review scope, sample, and terms before anything moves.
No data transfer to start
We begin with high-level information only.
No licensing without approval
Nothing is licensed until you approve it.
Your data
Big Data/Little Guy
Qualified AI buyers
Multiple potential offers
You choose
Potential licensing value varies by dataset, rights, quality, volume, buyer demand, and transaction terms. Estimates and examples are not guaranteed offers.
The difference
Do not just get a quote. Create a market for your data.
A single offer is one buyer's opinion. A market shows what qualified buyers are actually willing to pay. We help prepare your data opportunity and bring it to qualified AI buyers so you can see real interest instead of guessing.
Where more than one buyer is interested, you may be able to compare offers side by side. You decide which one works best, or whether to proceed at all.
Check my data valuePrice discovery
Stop guessing what your data is worth.
Value depends on who needs the data, why they need it, how useful it is, and the rights being licensed. Real buyer interest is the clearest signal available.
More market access
Your opportunity reaches more than one type of buyer.
More price discovery
Interest and offers show what the market may support.
Better prepared data
Sanitized and standardized before delivery.
Faster deal flow
One process, one profile, one point of coordination.
Not every dataset attracts multiple qualified buyers. Estimates and examples are not guaranteed offers.
Multiple offer potential
One dataset. Multiple potential offers.
A qualified dataset can be useful to more than one kind of AI company. When demand exists, we present the opportunity to multiple qualified buyers. That gives you a chance to compare instead of relying on one number. You decide whether to proceed.
Illustrative example
Marketplace interestIllustrative example. Not real buyer activity.
Illustrative example
Compare offersCompare your data licensing offers
| Offer | Amount | Buyer type | Term | Exclusivity |
|---|---|---|---|---|
| Offer 1 | $285,000 | Vertical AI company | 24 months | None |
| Offer 2 | $340,000 | Enterprise AI team | 36 months | None |
| Offer 3 | $410,000 | Specialized model developer | 36 months | Category exclusive |
The best offer is not always the biggest number. Scope, rights, term, exclusivity, delivery requirements, and payment terms all matter.
Interface mockup with example amounts. These are not real or current offers.
Why this data matters
AI can read the internet. It cannot see inside your business.
Some of the most useful knowledge in business was never published online. It sits in emails, documents, project systems, service histories, ticketing platforms, work orders, internal databases, and years of real decisions. Public websites show what companies say. Your operating data shows how the work actually gets done.
Emails and messages
Years of how your team actually communicates and decides.
Documents and SOPs
Proposals, manuals, reports, and internal know-how.
Systems of record
CRM, ERP, ticketing, project, and inventory data.
Service and support history
Question, response, and resolution at real scale.
Workflows and outcomes
Revisions, approvals, exceptions, and fixes.
Domain knowledge
Specialized practice that took years to build.
Problems count too
Clean success stories are not the only useful records. A work order that needed a second visit, an estimate that changed, a customer issue that was escalated, an invoice that did not reconcile, a diagnosis that was corrected, a shipment that was rerouted: those show how real teams solve real problems.
Value drivers
What makes business data valuable?
Size alone does not decide value. Seven factors do most of the work.
Volume
How much historical information exists?
History
How many years of real operations are covered?
Uniqueness
Can this be found on the public internet already?
Workflow depth
Does it show decisions, actions, revisions, and outcomes?
Quality
Can useful context and relationships be kept intact?
Rights
Do you control the data and hold the right permissions?
Market demand
Are AI developers looking for this kind of information?
How it works
From data discovery to deal.
01
Discover
Find where useful business data lives.
02
Quantify
Estimate and help verify how much exists.
03
Qualify
Review history, rights, usefulness, and readiness.
04
Package
Build a standardized Data Partnership Profile.
05
Match
Identify potential AI demand.
06
Negotiate
Coordinate licensing interest and terms.
07
Prepare
Get approved data ready for secure licensing.
08
Close
Complete the transaction on approved terms.
Step one
Start with our short qualification form.
It asks about your company, your systems, your history, and the kinds of records you keep. Estimates are fine. Nothing confidential is required, and your answers carry forward into your Data Partnership Profile so you never fill them in twice.
Connected systems
Do not count terabytes by hand.
Where a provider supports it, connecting a business system helps confirm high-level details like user counts, storage used, data categories, and how far back records go. This is not a download of your data. You can connect now or do it later, and manual estimates always stay available. Not every provider reports exact storage.
The product
Your Data Partnership Profile
Before any data moves, we build a clear profile of the opportunity. Think of it as a professional listing for a valuable business asset. It turns years of operating history into something a buyer can actually evaluate.
Your answers from the qualification form fill in most of it automatically. We do not make you answer the same question twice.
See what goes into a profileIllustrative example
QualifiedCompany
From your form answers
Industry
From your form answers
Employee count
From your form answers
Operating history
From your form answers
Digital history
From your form answers
Estimated data volume
Estimated or connected
Connected systems
Optional, added later
Data sources
Optional, added later
Historical coverage
Estimated or connected
Data categories
From your form answers
Language
Profile step
Geography
Profile step
Rights status
Under review
Sensitivity considerations
Under review
Licensing readiness
Scored by our model
Example layout only. Field values are not real data.
We solve the data problem
We handle the hard part.
Your company was built to serve customers, make products, finish projects, move freight, manage properties, repair equipment, build software, or deliver services. It was not built to package operational data for AI companies. That is our job.
Marketplace
Where business data meets AI demand.
Public information is everywhere. Proprietary operational data is different. We describe qualified business datasets in one consistent format so AI companies can find the real-world data they are looking for. You decide whether to proceed.
Illustrative data profile
US commercial service business
Data categories
Example profile only. Not real marketplace inventory.
Illustrative example
Data licensing opportunity
Offer status
Active
Data profile
Historical operating data
Estimated data
13.9 TB
Historical coverage
12 years
Buyer type
Enterprise AI company
Offer
$425,000
Interface mockup with an example amount. Not an offer.
Market access
One dataset. Multiple potential markets.
The same operating history can matter to more than one kind of AI company. Where buyer demand exists, we help identify the strongest potential market for your data instead of settling for a single number.
Frontier models
Industry specific AI
Agentic AI
Robotics
Enterprise automation
Specialized model developers
Evaluation companies
Data partners
Not every dataset attracts multiple qualified buyers.
Cleaned before it goes anywhere
Easy, safe and profitable: no personal information, no trade secrets.
AI companies are not buying your customer list, your contracts, or your secret sauce. They want the patterns underneath: how work moves, how problems get solved, and how decisions get made. So we clean data down to those patterns before anyone sees it.
Every record that leaves is de-identified and reviewed. Personal details come out. Your proprietary edge stays yours. You approve the cleaned sample. That is why saying yes is a smaller decision than most owners expect.
Automated scan
Every approved file is scanned for names, emails, phone numbers, addresses, account numbers, and other personal details.
Personal details removed
People are stripped out or replaced with neutral labels, so records show the work and not the person who did it.
Identifiers scrubbed
Customer names, logos, account IDs, contract numbers, and internal codes are removed or replaced.
Trade secrets held back
Pricing formulas, proprietary methods, source code, and anything you flag as protected stay out of the dataset.
Rebuilt as patterns
What remains is the shape of the work: the steps, the decisions, the fixes, and the outcomes.
You review a sample
You see a cleaned sample before anything is delivered. If it still looks like your business, it does not go out.
Always removed or held back
What a cleaned record looks like
Before
Jane Doe at Miller Plumbing called about invoice 44821. Quoted $1,880 using our standard tier-2 markup. Tech Rob Vega rebooked for Tuesday.
After cleaning
Commercial client contacted support about a billing dispute. Quote revised, then the visit was rescheduled to the next available window. Resolved in one follow up.
Illustrative example. The pattern is useful to an AI buyer. The identity, the pricing method, and the account details are not included.
Seller control
Your data. Your decision.
- Creating a profile does not license anything.
- You decide whether to proceed at every step.
- The scope is defined before any data transfer.
- Commercial terms are presented before a transaction.
- Sensitive information is reviewed, not assumed.
- Only approved sources move forward.
Licensing does not necessarily mean selling ownership of your underlying data. Your licensing agreement defines the permitted use, scope, term, and rights associated with the transaction.
Security and privacy
Start with metadata, not your entire dataset.
The first step is understanding what exists. We look at systems, volume, history, categories, rights, sensitivity, and licensing readiness. You should not have to send years of records just to learn whether an opportunity may exist.
Privacy review
Sensitive items are excluded, transformed, or reviewed further.
Approved scope only
Nothing moves until you approve what is included.
Data categories
The kinds of data we profile.
For AI buyers
One marketplace. A more consistent data format.
Every company stores information differently, which makes business data slow to evaluate. We describe every opportunity the same way, and approved datasets are prepared through a standard process for sanitization, validation, and quality review before delivery. Spend less time on raw data cleanup and more time deciding whether the data fits your use case.
Know what you are evaluating
Less cleanup. More useful data.
- What the dataset contains and how it is structured.
- What was removed, replaced, or transformed.
- How far back the records go.
- Rights status and licensing scope under review.
- Documented exclusions and known limitations.
- Available documentation and delivery format.
Approved datasets go through a standardized sanitization, validation, and quality review process before delivery. We do not hide known limitations.
Tell us what data you needIllustrative example
Data Quality ReportDataset summary
Complete
Source systems
Reviewed
Historical coverage
Complete
Volume
Complete
Data categories
Complete
Sanitization status
Reviewed
Validation status
Passed
Excluded categories
Documented
Quality review
Complete
Rights status
Requires review
Record structure
Complete
Known limitations
Documented
Example report layout. Statuses shown are illustrative, not results for a real dataset.
For AI buyers
Find proprietary data built by real businesses.
Tell us what your models need. We help identify qualified enterprise data opportunities by industry, workflow, historical depth, geography, language, modality, and other characteristics. You can also work the other direction and send us a data request first.
Fit check
Could your business qualify?
Strong candidates usually share a few traits. None of this is a promise of qualification. The qualification form is the real check.
- Several years of operating history
- Established internal systems
- Meaningful volumes of digital records
- Repeatable workflows
- Proprietary business processes
- Historical outcomes
- Internal documentation
- Multiple employees
- Clear control over relevant systems
- Information that cannot be downloaded from the public internet
Industries
Businesses we work with.
Not every company in these categories qualifies.
More for business ownersQuestions
What owners ask us first.
What types of business data may be valuable?
Records that show how real work gets done. Internal documents, SOPs, project histories, work orders, service records, support conversations, ticketing workflows, CRM activity, technical records, and the decisions and outcomes attached to them.
How much could my company's data be worth?
Licensing opportunities can vary widely. Some large or highly useful enterprise datasets may support substantial offers, potentially reaching seven figures. Value depends on factors such as size, history, uniqueness, rights, quality, and buyer demand. The first step is completing your Data Partnership Profile so we can review the opportunity.
Does checking my data value guarantee an offer?
No. Your Data Profile helps us understand whether your company may have a licensing opportunity. Buyer demand, rights, data quality, privacy, and other factors affect whether an offer becomes available.
Do I have to send you my data to get started?
No. We start with high-level information about your company, systems, data types, history, and estimated volume. Actual data transfer happens later if an opportunity moves forward.
Your business already created the data. Now find out what it could be worth.
Complete our qualification process and see whether years of proprietary operating data may qualify for AI licensing opportunities.
No obligation to license. Potential value depends on the specific data and market opportunity.