Intuitive human machine interfaces for better driving experience

Automotive HMI Development

Creating automotive HMI with AI-driven functionality and user-friendly design

Intellias is an automotive HMI development company that designs, builds, integrates, and validates in-vehicle human–machine interfaces for OEMs and Tier 1 suppliers. Our automotive HMI solutions cover instrument clusters, center displays, head-up displays (HUDs), passenger screens, and multi-display digital cockpits, helping drivers and occupants interact with vehicle functions naturally and comfortably.

Our UX designers and embedded software engineers transform user needs into configurable prototypes and production-ready HMI solutions using Qt, Kanzi, Unreal Engine, Unity, and Altia. We deploy across QNX, Android Automotive, and Linux on automotive-grade SoCs, following Automotive SPICE and ISO 26262 processes. Our AI-driven visual testing practices help detect interface defects earlier and shorten HMI validation cycles by up to 4x.

Trusted by leading companies worldwide

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Clear outcomes: Our clients’ stories

AI-powered visual testing for in-vehicle HMI systems

Intellias developed an AI-powered visual testing solution for vehicle HMI systems, combining vision-language models and computer vision to automate UI validation end to end. 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.
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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

Our accelerators for automotive HMI solutions development

At Intellias, we develop reusable HMI development and design accelerators that help OEMs and Tier 1 suppliers prototype, integrate, modernize, test, and validate HMI solutions without building every component from scratch. These accelerators combine ready-to-adapt software components with automated functional, visual, and performance testing, helping teams identify issues earlier, reduce development effort, and bring reliable infotainment features to market faster.

Our HMI development accelerators reflect Intellias experience across HMI, digital cockpit, navigation, IVI, voice assistants, cloud-connected services, and embedded platforms. Developed through collaboration with automotive clients, technology partners, industry associations, and open-source communities, they provide proven foundations for building and validating scalable, industry-grade HMI solutions.

AI-driven engineering services for future mobility

Intellias applies AI specifically to HMI testing and validation. Our AI-powered HMI validation services generate tests from requirements and use vision-language models (VLMs) to analyze screens, detect visual defects, verify UI states and user flows, and support functional and performance validation.

Composable, purpose-built AI agents integrate directly into the software development lifecycle and existing engineering toolchains. They support requirements analysis, test design, execution, and reporting while keeping engineers in control, helping teams reduce repetitive work, identify defects earlier, and accelerate automotive HMI software delivery.

1.

AI strategy and adoption

Designing, implementing, and optimizing mature AI strategies for mobility organizations, from simple AI as an assistant to scaled AI orchestration.

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Composable AI agents across the SDLC

Deploying modular AI agents for requirements analysis, architecture design, code generation, test generation, verification, validation, and compliance support.

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AI integration with existing toolchains

Implementing AI into established engineering environments through static data and dynamic MCP-based integrations, without disrupting proven workflows or governance.

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AI automation for ASPICE V-model

Applying AI-driven tools to automate V-model processes from requirements to qualification, ensuring ASPICE compliant development and maintenance, utilizing cloud- and model-agnostic AI platform.

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Human-in-the-loop AI engineering

Combining AI productivity benefits with expert human supervision to ensure safety, quality, and engineering discipline across mobility programs.

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AI accelerators for mobility use cases

Running active AI accelerator programs for infotainment testing, LLM-based verification and validation, intelligent map data management, and closed-loop code generation for mobility platforms.

Automotive HMI development services 

Advance your HMI solutions with Intellias engineering expertise, automotive-focused UI design, and AI-enabled accelerators.

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What our clients say

Bart Sweerman
Senior VP, Global Services & Support at HERE Technologies
bart Sweerman
Eugene Feld
VP of Engineering at MileMaker
Eugene Feld 1
Cesar Arego
Business Development Manager, Automotive Digital Cockpit​ at TomTom
Cesar Arego​
Giovanni Lanfranchi​
CEO at ZEEKR Technology Europe​
Giovanni Lanfranchi

In-focus mobility domains

Partnerships and certifications

Ecosystem provider partnerships
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Compliance with industry standards
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Automotive HMI design and development FAQ

Automotive HMI development is delivered by Tier 1 suppliers, specific automotive HMI solution companies, and independent engineering partners such as Intellias. Intellias designs and builds instrument clusters, center displays and HUDs for OEMs and Tier 1s, covering UX research, Qt/Kanzi/Unreal development, embedded deployment and AI-driven validation under ASPICE and ISO 26262 processes.

The automotive HMI technology stack spans UI frameworks, 3D engines, operating systems, hardware platforms, middleware, prototyping tools, and validation systems. Qt and Altia are commonly used for instrument clusters and other safety-relevant interfaces, while Kanzi, Unreal Engine, and Unity support 3D and animation-rich cockpit experiences.

  • HMI frameworks and 3D engines: Qt/QML, Kanzi by Rightware, Kanzi Connect, Unreal Engine, Unity, Altia, and DiSTI GL Studio
  • Operating systems: QNX, Android Automotive OS, Automotive Grade Linux, Yocto-based Linux, and hypervisor configurations
  • Automotive compute platforms and controllers: Renesas R-Car, Qualcomm Snapdragon Cockpit, NXP i.MX, and Infineon AURIX and TRAVEO
  • Middleware and connectivity: BlackBerry IVY, Vehicle HAL (VHAL), SOME/IP, and CAN
  • Design and prototyping: Figma, ProtoPie, and Kanzi Studio
  • Testing and validation: Model-in-the-loop (MIL), hardware-in-the-loop (HIL), AI-driven visual testing with vision-language models and computer vision, and the Physical Performance Analyzer

Intellias works across these technologies and helps OEMs and Tier 1 suppliers select the appropriate stack based on the target SoC, operating system, performance budget, functional requirements, and licensing model.

A successful process of custom HMI solutions development runs through six stages: discovery and requirements, UX concept, clickable prototyping, implementation, deployment and optimization on the target SoC, and continuous validation. The key success factors are early prototyping on real hardware, traceable requirements (ASPICE), safety analysis for relevant telltales (ISO 26262) and automated testing in CI/CD. At Intellias, AI-driven visual testing speeds validation cycles up to 4x.

For safety-relevant HMI content such as warning telltales, teams use tools with safety certification or qualification kits, for example Qt Safe Renderer, Altia and DiSTI GL Studio SC, typically running on QNX OS. Tool choice is only part of it: ISO 26262 also requires a certified development process. Intellias delivers HMI software under ASPICE and ISO 26262 requirements.

Intellias builds real-time 3D HMIs for instrument clusters and center displays using Kanzi, Unity and Unreal Engine, optimized for automotive-grade GPUs to keep frame rates stable within tight memory budgets. The IntelliKit portable demonstrator shows this work running on automotive hardware.

Safe in-vehicle interfaces minimize glance time and manual interaction: large touch targets, limited menu depth, voice-first flows while driving and consistent placement of critical information. Reference points include NHTSA visual-manual distraction guidelines and ISO 15008 for display legibility. Intellias combines driver research, prototyping and usability testing with ISO 26262 and ISO/SAE 21434 engineering.

Tier 1 suppliers usually prototype HMI concepts in Figma or ProtoPie, then build interactive prototypes in Kanzi Studio, Qt Design Studio, Unity or Unreal Engine that can run on target hardware. Intellias delivers clickable and hardware-in-the-loop prototypes, so OEM stakeholders can validate flows before full implementation of the automotive HMI software.

Qt, Kanzi, Altia and Unreal Engine all support automotive SoCs such as Renesas R-Car, Qualcomm Snapdragon Cockpit and NXP i.MX, on QNX, Android Automotive or Linux. Intellias handles SoC bring-up, BSP integration and GPU optimization so the HMI meets boot-time, latency and memory targets on production hardware.

Five criteria: supported target OS and SoCs; rendering performance and memory footprint; safety certification options (ISO 26262); a designer-to-developer workflow that avoids rebuilding designs by hand; and licensing cost at production volume. Also check multi-display support and OTA-update compatibility. Intellias runs tool evaluations and proof-of-concepts for OEMs choosing an HMI stack.

QNX HMI work is done by QNX ecosystem partners and specialist engineering firms. Intellias is a QNX ecosystem partner that develops and deploys Qt- and Kanzi-based HMIs on QNX, including multi-display cockpits on hypervisor setups.

Intellias provides AI-powered automated HMI testing that combines vision-language models and computer vision to validate cockpit screens the way a human does. It generates test cases from requirements and UX guidelines, checks navigation, media, comfort and connectivity flows, and runs in CI/CD, with up to 4x faster cycles and 95%+ accuracy across thousands of tests.