Parsenon
See if your data fits
See if your data fits
Business data licensing for AI

Your business data could be a new source of revenue.

The decisions, fixes and outcomes behind your business may be valuable to AI teams. Parsenon helps you assess the opportunity and explore licensing a defined set of records.

See if your data fits See examples

Start with a description. No files or system access needed.

You may already have something worth exploring.

The records behind a product release, a difficult repair or an operational decision can show how work gets done. Some AI teams license this kind of history to help develop and evaluate their systems.

We help you identify which records could be useful, flag the questions that need checking and assess relevant buyer requirements. You can explore the opportunity before committing to a data export or preparation project.

Start with records you already keep

Describe the history in your existing tools and systems. A prepared dataset is not needed for an initial conversation.

Make a more informed decision

Understand what a buyer would need, what your business could offer and which restrictions might rule a package out.

The useful part is how the work connects.

A record becomes more informative when it links a problem to the information, decisions and actions that led to an outcome. We’re starting with three kinds of business.

B2B software

Internal product and engineering history that shows how your team investigated, built and improved its own software.

  1. Reported issue
  2. Engineering discussion
  3. Code change and tests
  4. Release and support outcome

Own-brand commerce

Product, inventory and fulfillment decisions that show how your business handled real operational problems.

  1. Stock or product problem
  2. Options considered
  3. Supplier or merchandising decision
  4. Recorded result

Industrial equipment service

Service histories that connect a fault to technician findings, attempted repairs and evidence of what worked.

  1. Fault report
  2. Technician findings
  3. Repair attempted
  4. Follow-up measurements

Have records like these? Tell us about them.

Start with a conversation about what you have.

  1. 1. Describe your records

    Tell us what your business does and the kind of work its records capture. Approximate dates, source systems and examples of linked outcomes can help.

  2. 2. Explore the fit

    We look at the potential use, relevant buyer requirements and the ownership or confidentiality questions that need review.

  3. 3. Decide whether to go further

    If there’s a plausible fit, you decide whether to approve an introduction to a named buyer. Any evaluation, data transfer or license is agreed separately.

See if your data fits

Agree the scope before sharing the records.

The first step is a high-level description. Before any sample or transfer, the proposed records, permitted use and approval process need to be clear.

  • Check the rights. Holding a record does not necessarily give a company the right to license it. Customer, employee, contractor and third-party interests need review.

  • Review the terms. Understand who can use the data, for what purpose, for how long and on what payment terms before agreeing to a license.

  • Know how we’re paid. If a buyer would pay us a referral fee, we’ll disclose that arrangement before you approve an introduction.

For AI teams

Looking for evidence of how real work gets done?

Tell us the workflows you need, the context that matters and what would make a dataset useful. We’re developing a sourcing service around company operating histories, with buyer requirements guiding qualification.

Share your data requirements

Start with a brief. Availability, rights and delivery would be assessed for each opportunity.

Questions before you start

What kinds of records could be useful?

Records that explain a real piece of work: the original problem, information available, decisions, actions and outcome. We’re initially focusing on internal software history, own-brand commerce operations and industrial equipment service.

Does my company need to be a certain size?

We’re starting with established businesses that retain meaningful operating history. Company size, location, language and the years covered can affect buyer fit, but there is no single threshold for every opportunity.

Do I need to upload data or connect our systems?

No. The initial enquiry asks for descriptions only. Please leave out raw records, credentials, customer details and confidential information. Any later evaluation or transfer would need a separately agreed process.

Who would license the data?

Potential buyers include AI developers and specialist data programs. Their requirements vary. Any proposed buyer will be identified before you decide whether to approve an introduction.

How much could my business earn?

That depends on buyer demand, the usefulness of the records, the rights available and the agreed scope. A price can only be established through a specific offer. An enquiry does not guarantee a buyer or payment.

What would a license allow a buyer to do?

The agreement should define the records, permitted uses, duration, onward sharing and payment terms. Some rights can continue for a long time. Review the actual agreement with your advisers before accepting it.

What if the records contain customer or third-party information?

Flag that in general terms without sharing the information itself. Some material may need to be excluded, and ownership, confidentiality and privacy restrictions need review. Removing names alone does not resolve every restriction.

Does enquiring commit us to anything?

It starts a qualification conversation. It does not authorize a buyer introduction, data transfer or license. Any fees or preparation costs would need to be agreed before you proceed.

Explore the revenue potential in your business data.

Tell us what your company does and the records you already keep. We’ll start there.

See if your data fits

A description is enough to begin.