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Questions

Direct answers to the questions that matter.

The short answers are below. Underneath them: exactly what you control, and how ownership and consent get worked through before anything is extracted.

Questions, answered

Clarity
comes first.

What types of data are most valuable?

Connected workflow data: records that follow real work from the initial request through the information reviewed, the decision made, the action taken and the final outcome. A dataset that links a support ticket to its diagnosis, resolution and satisfaction result teaches far more than a folder of isolated documents.

What size company usually qualifies?

Most opportunities involve established businesses with roughly 20 to 700 employees: large enough to run real systems at meaningful volume, small enough to make decisions quickly. That range is a guideline, not a rule. Smaller and larger companies can qualify, particularly with deep history or specialized workflows.

How much could a dataset be worth?

Strong operating datasets carry an indicative potential licensing value of $100,000 to $4 million or more; proprietary codebases $10,000 to $1 million or more. These are indicative potential ranges, not valuations or promises. Actual value depends on quality, volume, rights, permitted uses and buyer demand at the time.

What makes one dataset more valuable than another?

Historical depth, number of records, connected systems, workflow complexity, specialized industry knowledge, the ability to link actions to outcomes, quality and consistency, clear ownership and consent, licensing scope, exclusivity, and whether future deliveries are possible. Buyer priorities also shift over time. Data that is sought after today may be commoditized later.

Do we need to send raw data?

No. The initial assessment is based on a description: which tools you use, how many years of history you hold, approximate volumes and how your workflows run. Nothing leaves your systems unless a licensing agreement defines exactly what is shared, how it is prepared and what it may be used for.

What if our data contains customer or client information?

That does not disqualify you, but it shapes the scope. You control which systems and fields are considered, and sensitive or third-party information can be excluded. Where customer or client data would be involved, appropriate rights and legal review come first. De-identification before delivery is standard practice, but anonymization alone does not resolve an ownership or contractual restriction.

What if our clients did not consent to their information being shared?

Client information should not be included simply because it can be anonymized. We first determine what the firm owns and has the right to license. An opportunity may focus on firm-owned workflows, internal operations, administrative records or other information that does not require the inclusion of client data. Any dataset involving client information requires appropriate rights and legal review.

Do we lose ownership of our data?

No. Licensing grants defined, limited rights, typically for approved AI-training or evaluation purposes, under negotiated terms. You keep ownership of your systems, records and intellectual property. Scope, duration and exclusivity are negotiated, not assumed.

Can we choose which systems are included?

Yes. You decide which systems and which fields are in scope, and sensitive or unnecessary fields can be excluded. Nothing is extracted until the scope and the permitted uses are defined contractually.

What makes a codebase valuable?

The engineering record around the code: commit history, issues, pull requests, code reviews, tests, CI/CD workflows and documentation. Buyers value repositories where a real problem can be traced to a tested solution, and where the project can actually be built and run. Source code alone, without that context, is generally worth less.

Can discontinued products or inactive repositories qualify?

Yes. Age is often an advantage: older records and retired products tend to carry fewer active confidentiality constraints, and their history is complete. What matters is the quality of the record, not whether the product is still running.

How long does the process take?

The initial assessment is a short conversation and a written description. If there is a fit, rights review, scoping and buyer discussions typically run over weeks, and longer where legal or privacy review is involved. Complex or regulated datasets take more time.

Is a transaction guaranteed?

No. Buyer interest varies with demand, quality and rights. We tell you early and honestly whether an opportunity is worth pursuing, and no transaction or compensation is ever guaranteed.

How can someone refer a company?

Use the form below and select “I am referring this company,” or send a high-level description of the business. We handle qualification, buyer discussions and the licensing process from there. Referral terms are agreed in writing before introductions are made. Never send client data, exports or credentials with a referral.

Trust & control

A clear process.
At every step.

No raw data required initially

The first conversation is a description of tools, history and volumes, nothing more.

No passwords or credentials

We never ask for system access, logins or exports through this site.

You control the scope

Your business decides which systems and fields are considered.

Sensitive fields can be excluded

Customer, employee or third-party information can be carved out entirely.

Rights reviewed before transfer

Possessing data is not the same as having the right to license it. We work through ownership first.

Permitted uses defined contractually

What a buyer may do with licensed data is written down, not assumed. De-identification before delivery is standard practice.

No guaranteed buyer or transaction

We assess honestly. Not every opportunity finds a buyer, and we say so early.

Ownership, privacy and consent

Holding data is not the same as the right to license it.

This is the part that determines whether an opportunity is real, and it is worked through before anything is extracted.

01

The assessment needs no raw data

You begin by describing the tools you use, the workflows they capture, roughly how far back the history goes and the approximate volume. Nothing more.

02

You choose what is in scope

Which systems, which fields, which date ranges. Sensitive or unnecessary fields can be excluded from consideration entirely.

03

Ownership is established first

Client-, customer-, employee- or third-party-owned information may require consent, exclusion or additional review before it can be considered.

04

Anonymization is not a cure for a restriction

De-identification reduces privacy risk and is standard practice before delivery. It does not resolve an ownership limitation or a contractual restriction on the underlying records.

05

Third-party software terms matter

The agreements behind the tools you use may restrict extraction or secondary use of what they store. That gets reviewed as part of scoping.

06

Permitted uses are written down

What a buyer may and may not do with licensed data is defined contractually, including duration, exclusivity and whether future deliveries are contemplated.

07

Some opportunities need counsel

Regulated industries and complicated rights situations warrant your own legal and privacy advisors. We are not a law firm and nothing here is legal advice.

Passwords, credentials and raw customer records should never be submitted through this website.

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Still an open question?

The assessment conversation is where the specifics of your situation get worked through, before anything is committed.