Intuitive in-vehicle experiences for electric, connected, and software-defined vehicles

Infotainment and Comfort Development

From intuitive HMI and navigation to GenAI voice assistants and AI-enabled IVI validation

Intellias develops in-vehicle infotainment (IVI), HMI and digital cockpit software for automotive OEMs and Tier 1 suppliers, using Android Automotive OS, QNX, Linux, Kanzi, and Qt, as well as validates it with AI-driven visual, functional, and performance testing that has cut IVI testing cycles up to 4x at 95% accuracy.

Our capabilities in infotainment development span UX and HMI engineering, NDS-based navigation, cockpit platform integration, driver and comfort applications, and intelligent voice interaction. By combining automotive infotainment software engineering with AI, automation, and expertise across leading cockpit platforms, Intellias helps accelerate feature delivery, improve software quality, and create consistent in-vehicle experiences across displays, applications, and vehicle systems.

Trusted by leading companies worldwide

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Clear outcomes: Our clients’ stories

AI-enabled validation infrastructure for SDV programs

OEMs and Tier 1 suppliers needed to accelerate SDV validation while managing growing software complexity, shorter release cycles, and limited access to secure test benches and pre-series vehicles.

Intellias combined V-model-aligned AI agents with physical ECUs, HIL setups, and vehicle prototypes in its TISAX Assessment Level 3 Engineering Garage. The testing ecosystem automates requirements analysis, test generation, visual verification, and evidence collection while keeping engineers in control of every critical decision.

Business outcomes:

  • From days to hours – AI agents reduce requirements analysis time identifying gaps, inconsistencies, and testability issues before test development begins
  • Up to 4× testing throughput – an in-vehicle AI assistant executes test scripts and monitors telemetry, enabling engineers to test multiple vehicles simultaneously
  • 95% infrastructure uptime – secure remote access turns physical HIL benches into shared resources for distributed engineering teams

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 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 infotainment solutions

At Intellias, we develop reusable automotive infotainment accelerators that help OEMs and Tier 1 suppliers prototype, integrate, modernize, test, and validate IVI 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 automotive infotainment accelerators reflect Intellias experience across HMI, digital cockpit, navigation, 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 IVI solutions.

AI-driven engineering services for future mobility

Intellias takes a strategic approach to advancing AI adoption for clients and within its own organization. We design, implement, and optimize AI strategies, delivering AI-powered engineering services that solve real-world problems and generate measurable results.

We leverage composable AI agents, modular, purpose-built tools integrated directly into the SDLC, where they deliver the highest productivity levels. For our partners, this translates into faster time to market, reduced costs across development and validation phases, and more efficient end-to-end delivery of automotive infotainment software development services.

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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.

3.

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 infotainment development services

Empower your IVI services with Intellias engineering excellence, automotive focused UI, and AI accelerators.

Let’s talk

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 infotainment and comfort FAQ

Intellias has delivered IVI, HMI, and digital cockpit software for OEMs and Tier 1 suppliers across production vehicle programs, on Android Automotive OS, QNX, Linux, Kanzi and Qt. Engineering runs in a TISAX Assessment Level 3 Engineering Garage with physical ECUs and HIL benches, and AI-driven validation has cut IVI testing cycles up to 4x at 95% accuracy.

Intellias offers wide range of IVI software development services: digital cockpit development, multi-display HMI engineering (cluster, head-up display, centre stack), in-vehicle infotainment, companion apps, in-vehicle navigation and maps, embedded platform integration, GenAI voice assistants, and AI-enabled IVI testing and validation, cross-platform IVI development (AAOS, QNX, Linux/AGL, Kanzi, Qt, Qualcomm SA8295, VHAL, SoC bring-up). Engagements span UX through embedded implementation, integration, and validation on the client’s target platform.

As a mature leader among automotive infotainment companies, Intellias works on Android Automotive OS (including VHAL and Car API), BlackBerry QNX, embedded Linux and AGL, and hypervisor-based virtualized cockpit deployments. HMI is built with Rightware Kanzi and Kanzi One, Qt, or native frameworks. SoC work includes Qualcomm Snapdragon cockpit platforms such as the SA8295, plus Renesas, board support packages and driver/middleware bring-up.

Intellias builds reusable infotainment accelerators – IntelliKit, the Map Compilation Accelerator, and the Physical Performance Analyzer – so components and test assets carry across programs rather than being rebuilt. Remote access to HIL benches turns physical test infrastructure into a shared resource for distributed teams, with 95% infrastructure uptime measured on an SDV validation program.

Intellias combines industry proven automotive HMI testing approaches with AI-driven visual, functional, and performance testing. Vision-language models read cockpit screens the way a human user would, generating test cases from written requirements and UX guidelines, then validating navigation, media, comfort and connectivity flows without manual scripting. Results: testing cycles up to 4x faster than manual, 95% accuracy across thousands of tests, and automated execution inside CI/CD.

Intellias Physical Performance Analyzer is an infotainment testing accelerator that replaces manual stopwatch testing with repeatable, frame-level measurement of visual and audio IVI events. A coordinated vision-language model, audio model and LLM pipeline turns conversational test triggers into automated response-time measurements and reports, integrating with CI/CD validation workflows.

Intellias delivered a conversational in-car assistant built on ChatGPT and large language models for a next-generation EV program, integrated into an Android-based IVI system through a Kotlin SDK with an Azure-hosted backend. Scope covered UX/UI, architecture, development, testing and scaling, with a modular design for continuous feature growth.

Intellias IVI software development follows ASPICE-aligned processes with functional safety to ISO 26262 and cybersecurity to ISO/SAE 21434. Physical validation runs in a TISAX Assessment Level 3 assessed Engineering Garage, and AI-assisted automation of the V-model covers requirements through qualification while keeping engineers in control of every critical decision.