The Technology Behind EngineTest
A proven oil-analysis method adapted into a scalable self-service diagnostic platform
Built on a German diagnostic foundation used by automotive brands and professional workshops for over a decade.
Test Card
Scan
Pattern Interpretation
Why Engine Oil Matters
Engine oil carries signals related to wear, contamination, combustion and lubricant condition.
Wear
Mechanical wear
patterns
Soot
Combustion residue
signals
Fuel Dilution
Mechanical wear
patterns
Water
Contamination
Moisture or coolant intrusion
Lubricant
Degradation
Lubricant
quality change
How the Diagnostic Process Works
1
Sample
A drop of oil is placed on the test card
2
Pattern Formation
The oil spreads and forms a characteristic pattern
3
Scan
The card is scanned through the system
4
Interpretation
Software analyses the visual signature
What the Technology Detects
Sample
Residue linked to combustion, wear particles and operating conditions
Fuel
Signals that may indicate fuel mixing with engine oil
Water
Indicators associated with moisture or coolant intrusion
Condition
Signs that oil properties may have deteriorated
Proven Foundation
The diagnostic foundation behind EngineTest comes from Germany and has been used in professional automotive environments for over a decade.
EngineTest extends that foundation into a self-service, network-ready model.
MotorCheckUp
- Used by automotive brands
- Used by professional workshops
- More than a decade of application
From Workshop Method to Scalable Platform
Workshop Context
- Expert- led process
- Isolated service environment
- Limited deployment scale
EngineTest Platform
- Self-service interaction
- Digital reporting
- Network deployment capability
Design for Consistency
User
Action
Test
Card
Scan
Workflow
Software
Layer
Report
Output
Why this Matters at Scale
Standardization
Consistent engine health interaction across locations
Reporting
Repeatable digital output
across the network
Engagement
Recurring contact points
with drivers
Insights
Long-term patterns across
deployed locations
Built for Technical Credibility, Design for Practical Use
Simple at the front end. Structured at the diagnostic layer.
Scalable at the platform level.