Identify
Confirm the appliance and its variant from the best available source.
Pre-visit diagnostics · preparation · provenance
RepairGraph is developing a pre-visit report built from the information available about an appliance: exact identification, accessible faults, current status, context and checks to prepare. The goal is to help technicians arrive with better information and prepare the right checks and parts.
The problem
The exact model, fault context, a displayed code or an access constraint may exist—but remain scattered, ambiguous or unavailable when the visit is prepared.
Confirm the appliance and its variant from the best available source.
Separate statement, metadata, event, rule and unknown.
Turn information into useful questions and checks—without pretending to conclude remotely.
Use it now
Inspect the concept, estimate your own cost and take a usable checklist even if RepairGraph never becomes your tool.
Explore a RepairGraph pre-visit report using synthetic data, visible provenance and checks to prepare.
Explore the report →Estimate technician time, transport and annual repeat-visit cost locally, with visible formulas and assumptions.
Run the estimate →A free interactive, printable checklist for model details, symptom, error code, context, access, tools and safety.
Open the checklist →Why now
The Data Act creates a framework for certain connected-product data. It guarantees neither universal coverage nor automatic diagnosis. RepairGraph explores the intersection of that data, operational preparation and repairer judgement.
Visible limitations
No complete multi-OEM integration is claimed.
No percentage of avoided repeat visits or customer gain is published.
The project is in field validation, not presented as production-ready.