Automotive HMI Development
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.
IntelliKit
The Automotive Portable Kit, or simply IntelliKit, showcases the engineering expertise we provide to our clients by integrating automotive-grade hardware, cloud platforms and tools, developing embedded and middleware software, and designing breathtaking user interfaces.
Physical Performance Analyzer
Physical Performance Analyzer is an Intellias AI-enabled automotive infotainment testing accelerator that replaces manual stopwatch testing with repeatable, frame-level measurement of visual and audio IVI events. A coordinated VLM, audio model, and LLM pipeline turns conversational language triggers into automated response time measurements and reports that can integrate with CI/CD testing and validation workflows.
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.









