Quick Takeaways
- Two companies are showcasing an AI-driven approach that dramatically reduces manual effort in validating in-vehicle infotainment systems.
- The solution leverages vision-language models to accelerate testing cycles while maintaining premium software quality standards.
On January 6, Intellias, a global provider of AI-enabled product engineering and digital solutions, together with Zeekr Technology Europe, the European R&D arm of EV brand Zeekr, announced plans to present an advanced Intellias Zeekr AI IVI testing solution at CES 2026.
Intellias Zeekr AI IVI Testing Uses Vision-Language Models
The showcased Intellias Zeekr AI IVI testing solution applies vision-language models to fully automate user interface validation for in-vehicle infotainment systems. From initial screen rendering to complete user journey validation, the approach removes manual effort while maintaining strict accuracy and consistency.
Key capabilities of the AI-driven IVI testing system include:
This expanded automation enables broader test coverage compared to conventional manual testing, aligning with Zeekr’s emphasis on premium software quality and reliability.
Faster Validation and Reliable Results for IVI Systems
Compared with traditional methods, Intellias Zeekr AI IVI testing accelerates validation cycles by up to four times. Faster execution delivers earlier feedback to development teams, helping reduce release timelines while maintaining quality benchmarks.
Additional advantages include:
By combining AI-powered visual validation with scalable automation, the solution supports faster time to market while ensuring dependable infotainment performance across diverse driving scenarios.
Intellias Zeekr AI IVI Testing Uses Vision-Language Models
The showcased Intellias Zeekr AI IVI testing solution applies vision-language models to fully automate user interface validation for in-vehicle infotainment systems. From initial screen rendering to complete user journey validation, the approach removes manual effort while maintaining strict accuracy and consistency.
Key capabilities of the AI-driven IVI testing system include:
- Automated detection of layout inconsistencies and content mismatches
- Validation of user interaction flows across complex infotainment menus
- Continuous, real-time performance monitoring during test execution
This expanded automation enables broader test coverage compared to conventional manual testing, aligning with Zeekr’s emphasis on premium software quality and reliability.
Faster Validation and Reliable Results for IVI Systems
Compared with traditional methods, Intellias Zeekr AI IVI testing accelerates validation cycles by up to four times. Faster execution delivers earlier feedback to development teams, helping reduce release timelines while maintaining quality benchmarks.
Additional advantages include:
- Consistent and repeatable test outcomes without human error
- Flexibility to manage advanced scenarios such as dynamic navigation routes
- Automatic verification of critical data, including charging stations and points of interest
By combining AI-powered visual validation with scalable automation, the solution supports faster time to market while ensuring dependable infotainment performance across diverse driving scenarios.
Company Press Release
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