Security & review
Start with metadata, not your entire dataset
The first step in our process never touches your raw data. We only look at high-level facts about your systems, volume, history, categories, rights, sensitivity, and licensing readiness. Your actual files stay where they are until you approve a next step.
Step one
What we look at first
Systems
Which platforms your data lives in, like email, CRM, or file storage.
Volume
A rough size of your data, like storage used or record counts.
History
How far back your data goes and how consistent it has been kept.
Categories
The general types of data you have, like support tickets or documents.
Rights
Whether your business holds the rights needed to license the data.
Sensitivity
Whether sensitive information may be present and needs review.
Licensing readiness
How close your data is to being ready for an approved deal.
Only with your approval
What happens only after you approve
01
Approved Data Scope
We define exactly which data is included before anything moves.
02
Secure Transfer
Approved data moves through a controlled, secure transfer process.
03
Privacy Review
We check the approved data for personal and sensitive information.
04
Sensitive Data Transformation
Sensitive items may be removed, masked, or transformed.
05
Quality Assurance
We check the prepared data set for accuracy and completeness.
06
Sanitized Sample Review
A cleaned sample is reviewed before the full transaction proceeds.
07
Buyer Acceptance
The buyer confirms the sample and terms before final delivery.
08
Secure Delivery
The final approved data set is delivered through secure channels.
Sensitive information
Sensitive information gets reviewed
We do not want passwords or medical records. Before any data is prepared, we review it for items like these:
Some items may be excluded, transformed, or need extra review before any data moves forward. This review happens before delivery, not after.
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.
You are in control
Your data, your decision
Creating a profile licenses nothing.
You decide whether to proceed at every stage.
Scope is defined before any transfer happens.
Commercial terms are shown before a transaction.
Only approved sources move forward.
Licensing and ownership
What licensing actually means
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.
See what your data could be worth, without sharing your files.
The first step only asks about your business and your systems. Nothing is transferred until you approve it.
Check my data value