Know a company with years of records? Refer it and earn up to $50K
FIELD SERVICE

AI data licensing for field service businesses.

A service call can connect a reported problem, the checks your technician performed, and a recorded fix. Explore whether your retained job and diagnostic history is worth reviewing for AI data licensing. Start with a company overview. No files or system access required.

Could a field service company have relevant records?

Possibly. A service call records a reported symptom, what the technician checked, what was wrong, and what fixed it. Years of those records describe practical troubleshooting that is hard to find in a manual.

Relevance depends on what a potential recipient needs, how complete your history is, and what you are able to license. Origin helps owners explore those questions before anything is shared. Get an indicative estimate with your company details.

Three examples from a service business.

These are illustrative examples to help you recognize record types. They are not customer cases, accepted datasets, or evidence of a buyer offer.

Work your team didRecords to look forWhat the history can explain
Diagnosed a rooftop unit that kept short-cyclingDispatch ticket, technician notes, readings taken, parts used, follow-up visitThe symptom, the checks in order, the cause, and whether the fix held
Resolved a recurring drain backup at one propertyRepeat service calls, camera inspection notes, estimate, completed repairHow a team moved from quick fixes to the underlying cause
Updated the procedure for a common equipment faultEarlier checklist, internal training notes, revised procedureWhat the company learned and how it changed its standard practice

Include repair attempts, retests and callbacks

For service history, the useful chain is symptom → readings → diagnosis → attempted repair → retest → later callback or observed result. Preserve unsuccessful attempts and corrections. A missing callback record does not prove that a repair succeeded.

Equipment model, units, operating conditions and procedure versions help explain whether two jobs are comparable. Distinguish a technician’s first hypothesis from a verified finding.

Written histories and physical demonstrations serve different tasks

Written repair records may support a troubleshooting agent or private evaluation. Physical AI projects may require visible actions, synchronized viewpoints or sensor data that your job notes do not contain.

Read field-service records for AI, skilled-work demonstrations and evaluation licensing. Map an existing workflow before commissioning new collection.

Where does the history live?

Most of it sits in your field service or dispatch software, invoicing system, and internal training material. Check how many years of technician notes are retained, whether notes are free text or only codes, and whether follow-up visits link back to the original call.

Short or missing notes are common. Record that as an unknown rather than a reason to stop. The company record map helps you describe one workflow without exporting anything.

  • Can a work order link the reported symptom to diagnostic notes, parts used, and a follow-up outcome?
  • Does “job complete” mean the repair was verified, or only that the visit was closed?
  • Which history survived a dispatch-system change, and which dates or attachments remain unchecked?

Which records should be considered separately?

A single work order often mixes your own know-how with information that belongs to customers or other companies. Describe the categories before deciding on a scope.

  • Customer names, addresses, phone numbers, and payment details.
  • Photos taken inside customer homes or facilities.
  • Manufacturer service manuals and bulletins: identify the author and applicable license separately from your own procedures.
  • Records covered by service contracts with confidentiality terms.

Who should be involved?

The owner can start the conversation. A service manager or senior technician can explain what the notes mean. Whoever handles contracts and customer privacy should review any proposed access and licensing terms.

What to bring to the first conversation.

Send your company name, website, and contact details through the inquiry form. You can discuss the rest when we follow up.

  • Trades and equipment types you service, and roughly how many calls a year.
  • The software that holds job history and how many years are retained.
  • Whether technicians write free-text notes or select codes.
  • Any internal training or troubleshooting material your team maintains.

What happens after you contact Origin?

Origin reviews your inquiry and follows up to discuss the records you describe, the questions that need review, and whether there is an opportunity to pursue for a service business. Sometimes the right conclusion is that there is no clear route.

If a relevant introduction is proposed, your company approves the recipient and the information shared. The receiving company evaluates the records and proposes its own terms. Your company decides whether to proceed.

There is no standard data price or guaranteed offer. The company-data value guide explains what to compare if an offer emerges. Get an indicative estimate to start with your company details.

What is your company’s data worth?

AI companies pay $20K to $5M for company records. Six questions, no files.