Digital Cockpit Development

AI-powered visual testing for in-vehicle infotainment systems

Intellias developed an AI-powered visual testing solution for IVI systems, combining vision-language models and computer vision to automate UI validation. The solution generates test cases from written requirements and UX design guidelines, then performs automated checks across navigation, comfort features, media, and connectivity. By understanding cockpit screens similarly to a human user, it detects layout and content issues, validates user flows, and monitors interface behavior without manual scripting.

Business outcomes:

• Faster time to market – Accelerated testing cycles up to 4x compared with manual testing, enabling earlier feedback loops and faster feature releases.
• Higher validation accuracy – 95%+ accuracy across thousands of tests while reducing human error in complex and repetitive IVI validation cycles.
• Scalable test automation – Automated operations within CI/CD workflows and supported complex testing scenarios.

AI-powered conversational car assistant for next-generation EVs

Intellias developed a conversational in-car assistant based on ChatGPT and large language models, combining natural language interaction with deep integration into an Android-based IVI system. Delivered through a Kotlin-based SDK and Azure-hosted backend, the solution covered UX/UI, architecture, development, testing, and scaling, enabling a modular and future-ready voice assistant platform.

Business outcomes:

• Enhanced driver engagement – Improved in-vehicle interaction and navigation experience through natural, AI-driven voice assistance.
• Scalable platform foundation – Enabled long-term flexibility with a modular architecture designed for continuous evolution and feature growth.
• Accelerated digital innovation – Helped position the client at the forefront of generative AI adoption in connected vehicle experiences.

Intelligent voice assistant for safer, hands-free in-car experience

Intellias designed an AI-powered in-car voice assistant concept that acts as a hands-free co-pilot for drivers, passengers, and car owners. The solution provides real-time support for vehicle-related issues, voice-activated productivity tools, access to real-time information, and seamless integration with navigation and cabin controls.

Business outcomes:

• Safer driver interaction – Reduced distraction by enabling hands-free support for vehicle queries and everyday tasks.
• Improved in-car convenience – Helped drivers and passengers access information, productivity features, and vehicle assistance through natural voice interaction.
• Scalable multi-platform concept – Created a flexible integration approach for adapting the assistant to different vehicle architectures, functions, and models.

AI-driven feedback flow: From in-car recordings to Jira tickets

The client required direct insights into user experience within their navigation app and needed a scalable way to capture and process real driver feedback.

Intellias implemented an AI-powered feedback system that captures audio and screen input directly from the vehicle, automatically processes it, and converts it into structured Jira tickets.

Business outcomes:

• Faster feedback processing – automated transcription, summarization, and ticket creation significantly reduce manual effort
• Improved product insights – real-time, structured user feedback enables faster identification of issues and feature needs
• Operational efficiency – support teams spend significantly less time handling and processing feedback across growing user bases