Learn from examples
Teach a model using carefully selected examples of a task and a good response. A request paired with an expert-reviewed answer helps show the model what useful work looks like.
Data monetization
Explore the value
in your business
records.
AI labs and product companies use data to train and test models. Data monetization means licensing suitable business records for agreed uses in return for payment.
Guidance through assessment, buyer research and a possible licensing agreement.
A POSSIBLE DATA LICENSEIllustrative
Real work.
Useful AI data.
Useful AI data.
Useful data can show the task, the information available, the decisions made and the finished result.
Records
Prepare
AI uses
A proposed license, defined in writing.
Data monetization explained
What is
data monetization?
In this service, it means exploring a paid licence for a selected, prepared copy of business records. An AI developer or data partner can use that dataset for agreed purposes, such as training, adapting or testing models.
Who needs it?
AI labs, product companies
and data partners.
Frontier AI labs build advanced, general-purpose models. Applied AI companies develop tools for work such as engineering, accounting and customer support. Both can use examples of real tasks, expert decisions and useful results.
Specialist data providers and research partners help source and prepare datasets, expert feedback and training environments. A business may license suitable records directly or through one of these organizations.
The opportunity is the experience captured in your systems: what information people had, what they did with it and what happened next.
How the data can be used
Examples to learn from.
Tasks to practise. Results to measure.
Practise with feedback
A model attempts a task, receives a score or reward, and uses that feedback to improve. Business workflows can help shape realistic tasks and environments, with clear instructions and reliable grading.
Measure performance
Test how well a model handles realistic work. Reference files, expected results and expert scoring guides help developers measure accuracy, compare systems and identify failures.
Broader model training: some datasets also help models learn specialist language, document formats and subject matter. The buyer’s intended use determines the data and preparation needed.
Examples from AI research and industry
These public sources illustrate data partnerships, model training and evaluation:
- OpenAI: Data Partnerships — public and private datasets for AI training.
- Scale AI: Data Engine — expert data, feedback and model evaluation.
- Supervised fine-tuning explained — learning from example inputs and good outputs.
- Reinforcement fine-tuning explained — tasks, graders and scored attempts.
- OpenAI: GDPval — evaluating AI on realistic professional work.
What might be relevant?
No category is automatically eligible.
Think in connected workflows,
not just file sizes.
No category is automatically eligible.
Email, chat & shared documentsMicrosoft 365 · Google Workspace · shared drives
How a request became a decision: messages, document versions, handoffs and an eventual outcome. Staff and customer information, attachments and contractual restrictions need a separate review.
Customer & support historyCRM · service tickets · approved call records
A problem, the steps taken and its resolution. Useful context can span tickets and CRM records; recording permissions and customer agreements must be checked.
Accounting & operationsQuickBooks · Sage · ERP · order systems
The relationship between a quote, an order, a job and an invoice. Financial details, customer identities and commercially sensitive terms may need exclusion or transformation.
Engineering & technical workCAD · code repositories · maintenance records
Design changes, review comments, technical decisions and outcomes. Client-owned designs, third-party code, credentials and confidential methods require careful screening.
Specialized operational recordsEquipment logs · quality records · permitted media
Records that connect a condition, an intervention and what happened next. Rights, consent, collection context and identifiability matter as much as the format.
01
Context matters.
Links between decisions, actions and outcomes can be more useful than a disconnected file dump.
02
A license has boundaries.
Which copy, which buyer, which uses and for how long? Ownership and exclusivity must be set in writing.
03
Interest is not an offer.
Eligibility, valuation and timing depend on the records, rights, buyer and agreed terms. A sale is not assured.
How we’re paid for data brokerageThe intended model is compensation from the acquiring buyer, broker or referral partner under an agreed arrangement, disclosed before an introduction. Any other preparation or specialist costs must be agreed in advance.
A guided process
A conversation
before a single file.
For data opportunities, we work through the questions in order. You decide whether each next step makes sense.
Start a high-level fit-check- 01
Understand the business
Discuss your goals, the systems you use and the history you hold. No records or credentials needed.
- 02
Map the systems and the boundaries
Inventory relevant records and connections. Identify ownership, consent, contractual restrictions and confidential material.
- 03
Qualify a possible route
Research buyer requirements, Canadian eligibility and written commercial or referral terms. An introduction is not guaranteed.
- 04
Agree the scope and review a sample
Plan exclusions and privacy work with appropriate specialists. Check a permitted sample and the proposed release with you.
- 05
Set written terms before delivery
Confirm buyer, uses, rights, exclusivity, access, retention, responsibilities and payment. Your approval comes before an agreed release.
- 06
Coordinate an approved handoff
Delivery and payment follow the signed terms. If the fit or protections aren’t right, you can stop before committing.
Privacy & control
Protect what matters.
Preserve what’s useful.
Changing a name is only one part of the work. A responsible assessment separates personal information, permission to license and the business details you need to keep confidential.
FICTIONAL EXAMPLE · NOT REAL BUSINESS DATA
Original-style records
EMAIL / REQUEST
Jordan at Fictional Client Ltd. approves drawing C12 for WO-041.
ERP / WORK ORDER
WO-041 · Fictional Client Ltd.
Unit price: $148 · Drawing C12
An illustrative scoped copy
EMAIL / REQUEST
Person-A at Organization-B approves a permitted reference for Record-041.
ERP / WORK ORDER
Record-041 · Organization-B
Commercial terms and design excluded
Consistent stand-ins can preserve the link between records. They do not prove that someone cannot be identified, that sharing is permitted or that every commercial secret is protected.
What still needs review?
Free text, metadata, attachments and unusual events can reveal identities or business details. Even a transformed copy needs an appropriate rights review, specialist validation and your approval of the exact release. This illustration describes possible controls, not an operating anonymization service or a guarantee of safety.
Personal information
Review names, contact details, staff and client records, recordings, attachments and context that could identify someone.
Rights and consent
Check who owns the records, what contracts allow and what permissions are needed for the proposed use.
Commercial confidentiality
Protect pricing, strategy, client-held work, credentials, privileged material and know-how you do not want released.
For buyers, acquirers & brokers
Working with data?
Let’s compare requirements.
We’re open to direct buyer discussions and broker collaboration involving organizations with relevant business records. Canadian eligibility, scope and any referral or commission arrangement need to be agreed in writing.
Good questions
Clarity before
commitment.
No guaranteed valuation.
No need to send records to start.
What kinds of data might qualify?
Potential examples include permitted communication history, documents, CRM and support records, accounting and ERP workflows, code, CAD and operational logs. Actual suitability depends on the contents, context, rights and a particular buyer’s requirements.
Is this only for businesses that are closing?
No. Active organizations can explore it too. Ongoing operations make staff and customer privacy, client obligations and commercial confidentiality especially important.
How is data brokerage paid for?
The intended compensation comes from the acquiring buyer, broker or referral partner under a written arrangement. Any commission will be disclosed before an introduction. Preparation and specialist costs are discussed separately; buyer coverage is not assumed.
Do we keep our records and ownership?
The starting point is a proposed license of an agreed copy, rather than giving up your live systems. Ownership, permitted uses, exclusivity, term and retention still depend on the contract. An exclusive deal may limit other uses or licenses, so those terms need careful review.
Is there a guaranteed payout or timeline?
No. A preliminary assessment may find that no suitable opportunity exists. Buyer interest, scope, rights, preparation and negotiation affect whether a deal happens, its terms and how long it takes.
What about client information and staff messages?
They are not automatically yours to license. Rights, consent and confidentiality need review, alongside any personal-data processing. Some material should be excluded altogether. Removing names does not settle these questions.
Who sees the original records?
The initial conversation needs no original records. Any later access, sample handling and processing should be limited to the people and providers you approve, under agreed controls. Do not send raw records or credentials through this site.
Are Canadian organizations eligible?
Eligibility must be checked for each buyer or program. Some routes prioritize or restrict US organizations. Location alone does not establish eligibility or guarantee an offer.
Are you affiliated with a particular lab or broker?
No established lab affiliation, buyer agreement or broker partnership is represented in this draft. Collaboration is open for discussion, with terms and responsibilities to be confirmed.
The first step is small
Tell us a little.
Let’s find
a useful next step.
Describe the records you hold or the buyer requirements you’d like to discuss. A high-level description is enough.
We’ll use your details to respond to your enquiry.