Data category

Automotive & Vehicle Service Data

Repair orders linking symptoms and diagnostic codes to the confirmed fault, parts replaced and outcome.

Evaluate Your Data Request this type of data

Vehicle repair data from service departments links a reported symptom and a diagnostic code to the fault a technician confirmed. AI developers license these auto repair records to train diagnostic and maintenance models. DataNexx helps dealers, workshops and fleets find out which records can be licensed, and arranges the licence. There is no fee to the data owner.

Why it matters for AI

Recorded, judged, resolved.

Service records pair a symptom and a code with what the technician actually found and whether the fix held. Comebacks and warranty outcomes give a verified answer that generic repair manuals do not. Owner and vehicle identifiers are removed before licensing.

Typical data

Repair orders
Customer-reported symptoms
Diagnostic trouble codes
Test readings
Parts & labor times
Warranty claims
Telematics & mileage
Inspection results
Damage & repair photos

Representative workflow

Illustrative

01Reported symptom
02Codes & test readings
03Technician diagnosis
04Parts & labor
05Repair
06Road test
07Fixed or comeback

Who typically holds it

Dealer service departments
Independent repair and fleet workshops
Fleet operators
Inspection and warranty administrators

Potential AI applications

Diagnostic copilots for technicians
Warranty and failure analytics
Predictive maintenance
Damage assessment from photos

Guide

What vehicle service data do dealers and workshops hold, and where does it live?

Dealers keep repair orders in a dealer management system (DMS). Independent shops and fleets use shop or fleet management software. Scan-tool reports, warranty claims and inspection photos are often stored alongside.

The most useful records link the complaint, the codes and readings, the technician's finding and whether the fix held. A comeback shows when the first diagnosis was wrong.

Repair orders with customer-reported symptoms
Diagnostic trouble codes and test readings
Technician notes, parts and labour times
Warranty claims and outcomes
Mileage, telematics and damage or repair photos

What can AI teams build with vehicle repair data?

Diagnostic models need verified answers, not just repair manuals. Service records show which fault really caused a symptom on real vehicles.

Comebacks and warranty repeats are the most valuable part. They mark the hard cases where a first guess failed.

Diagnostic copilots for technicians
Warranty and failure analytics across models and mileage
Predictive maintenance for fleets
Damage assessment from photos

What about owner privacy and manufacturer terms?

A vehicle identification number (VIN), plate or owner name can identify a person. These are removed or replaced before licensing, and free-text notes are checked for names and phone numbers.

Dealers also work under manufacturer agreements. Warranty data and some diagnostic information may be covered by those terms. This is not legal advice; your counsel decides what is allowed.

How do you describe your service data for a first assessment?

You do not need to send any data. Start with a short description: the makes and vehicle types, the years of history, the rough number of repair orders and the software that holds them.

Say whether repair orders include codes, readings and technician notes. Note any warranty or manufacturer terms that apply. The assessment walks you through it, and we reply within 24 hours.

If you run several sites, say whether they share one system. Records from many workshops are useful, but they need to use the same fields.

Example record (illustrative)

One repair order as a workshop might export it. Field names and contents are illustrative.
Field	What it holds
Repair order ID	An internal code, replaced with a new random ID before licensing
Vehicle	Make, model, year and engine, with the VIN removed
Mileage	Odometer reading, in bands
Complaint	The symptom as the customer described it
Codes and readings	Diagnostic trouble codes and key test values
Technician finding	The confirmed cause, in the technician's words
Parts and labour	Parts replaced and labour time
Outcome	Fixed, or a comeback with the second repair

Frequently asked questions

What is vehicle repair data?

Vehicle repair data is the record of a repair: the symptom, the diagnostic codes and readings, the technician's finding, the parts used and whether the fix held. It is the most useful kind of automotive data for training diagnostic AI.

Can a dealer license repair orders?

Often, once owner details are removed and manufacturer terms are checked. Dealer agreements differ, so this review is an early step of the assessment.

Are technician notes useful if they are messy?

Yes. Short, informal notes are how real shops write. Models learn from them, and names or phone numbers are removed first.

Is DataNexx an AI vehicle repair database?

No. DataNexx is not a database product or a marketplace. We arrange licences to real repair records held by workshops, dealers and fleets. AI teams can describe the data they need on our dataset request form.

Who pays for the assessment?

There is no fee to the data owner. Compensation comes from the licence, when an AI company licenses the data.

Trust & compliance

Data licensing without losing control.

Your data stays yours until you decide otherwise. We assess before anything is shared, and we treat rights and privacy as conditions of a transaction — not afterthoughts.