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Error Inspector

in

R&D

Accelerate fault resolution with end-to-end traceability

Identify and analyze E/E system issues by linking errors to system dependencies. Ensure full traceability across components, uncover recurring patterns, and accelerate problem resolution to save time and resources.

Accelerate fault resolution with end-to-end traceability

What can you achieve with this use case?

Up to
80%
reduction in time spent diagnosing root causes
Up to
30%
faster validation cycles leading to faster SOP
Up to
70%
reduced search time in tickets and traces

Trusted by

 

See exactly what vehicle configuration is tested

Instantly isolate only the tickets matching specific signals, components, or DTCs, using the actual vehicle configuration instead of the theoretical 150% model.

Accelerate fault resolution with end-to-end traceability
Accelerate fault resolution with end-to-end traceability

Visualize failures with Signal Error Architecture

Track error indications on signal & ecu level across affected buses to quickly uncover patterns in system behavior and reduce root causing guesswork.

Accelerate fault resolution with end-to-end traceability

Identify faults with Root-Cause Suggestion

Automatically surface the most likely faulty ECU by analyzing signal behavior, DTCs, and dependency data, so teams fix the true issue first.

Accelerate fault resolution with end-to-end traceability

Get an instant tour

See how SPREAD turns complex product data into clear, actionable insights. Take a quick tour and see how this solutions deliver impact.

What types of data does SPREAD connect and analyze?

SPREAD Inspector integrates critical R&D data from multiple engineering systems and unstructured sources to provide complete traceability from issues to root cause. It connects and contextualizes:

Data Type Description Typical sources File Formats needed
Issue Tickets Description, criticality, affected car, software release, affected function incl. linked parts & software, … Company specific system
Traces Chronological recording of events, signals and system states collected during the operation/testing of a vehicle. It is used to analyze system behavior – scope: signals Company specific system
.mf4 .mdf
Diagnostic Trouble Code (DTC) Code which stands for an error which occur during the operation/testing of a vehicle – scope: affected Electronic Control Unit (ECU) Company specific system
.xml
Specific information regarding the tested vehicle Specifications of the hardware and software configurations used in the tested vehicle Company specific system
.xml
Vehicle architecture 200% summary of functions, components, bus, signals, hardware and software Company specific system
.json
Data definition As-is-state of signals, sender-/receiver-ECUs as well as the defined bits Company specific system
.arxml

How to

get started

1

Jointly scope
use cases

We bring practical expertise to understand your challenges and scope the right solutions  with you.

2

Deploy solutions
rapidly

Within weeks we deploy our platform, integrate the required product data and configure the defined solutions.

3

Rollout across
the company

We train users across teams, scale company-wide, and support you continuously on the way.