Software-Defined Vehicle Engineering
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Software-defined vehicle engineering services
Moving from hardware-led vehicle development to software-defined vehicles that evolve over time requires coordinated decisions across electrical/electronic (E/E) architecture, silicon, operating systems, middleware, applications, and vehicle–cloud connectivity. Intellias provides vendor-agnostic SDV engineering services spanning architecture and platform development, AI-assisted engineering, testing and validation, sensor fusion, functional safety engineering, and cybersecurity. Our SDV development processes align with automotive industry standards and certifications, whether you need to modernize one part of a vehicle program or develop an integrated SDV platform.
We design migration paths from distributed ECUs to domain-based, centralized, or zonal E/E architectures. This design covers the allocation of vehicle functions to high-performance computers, gateways that connect vehicle zones, hardware-software decoupling, platform abstraction layers, and reusable interfaces that support software evolution across vehicle programs.
AUTOSAR (AUTomotive Open System ARchitecture) defines standardized software platforms and interfaces for vehicle electronics. We apply AUTOSAR Classic to structure software on real-time ECUs and AUTOSAR Adaptive to organize services on high-performance compute platforms, then integrate their interfaces so vehicle functions can communicate and be reused across programs.
We provide functional safety (FuSa) engineering aligned with ISO 26262, from hazard analysis and risk assessment (HARA) and Automotive Safety Integrity Level (ASIL) classification to safety requirements and verification. We align development practices with Automotive SPICE (A-SPICE) and prepare evidence to support assessments against UNECE R155 cybersecurity and R156 software-update requirements.
We build and adapt SDV base software for the client’s selected silicon, OS, and vehicle architecture. Our services cover SoC and board bring-up, BSPs, secure firmware, bootloaders, middleware, and platform porting across RTOS, Linux, QNX, Android Automotive OS, and Green Hills. We engineer hypervisors, virtual ECUs, zonal and domain controllers for optimized performance and lifecycle maintenance.
We develop SDV applications that evolve independently of hardware while remaining integrated with vehicle functions and enhancing in-vehicle experience. Our services cover instrument clusters, head-up displays, rear-seat entertainment, HMI frameworks, Android Automotive apps and SDKs, app stores, companion apps, sensor-driven features, and Gen AI assistants designed for privacy, safety, and comfort.
We connect vehicles to cloud platforms to support software and service evolution throughout the vehicle lifecycle. Our services cover OTA/FOTA, secure rollback, vehicle–cloud synchronization, telematics, V2X, and remote diagnostics. We build scalable data pipelines, cloud-native APIs, digital twins, edge-to-cloud workflows, and CI/CD for release automation across embedded, application, and cloud components.
We provide continuous verification and validation, covering unit, component, functional, and non-functional testing. Our services combine model-in-the-loop, software-in-the-loop, and hardware-in-the-loop testing using virtual and physical ECUs, fault injection, test benches, TISAX Certified premises, and pre-series vehicles. We apply AI tools to HMI visual validation, bug triage, and reporting while integrating automated quality gates and performance analysis into CI/CD pipelines.
We implement cybersecurity into centralized and zonal SDV architectures throughout the software lifecycle. Our services cover threat analysis and risk assessment (TARA), secure boot and updates, authentication, encryption, key management, gateway protection, and workload isolation. We also provide vulnerability assessment, penetration testing, security monitoring, and incident response, applying defense-in-depth and fail-operational strategies to mixed-criticality workloads, AI-enabled functions, and connected vehicle services.
SDV competence ecosystem
Our accelerators for SDV solutions development
At Intellias, we develop reusable SDV accelerators that help OEMs, Tier 1 suppliers, and semiconductor companies prototype, integrate, modernize, test, and validate vehicle software without building every component from scratch. These accelerators combine adaptable platform components, reference architectures, virtual development environments, and AI-assisted engineering tools, helping teams identify integration issues earlier, reduce development effort, and move SDV concepts toward production faster.
Our SDV accelerators reflect Intellias’ experience across E/E architecture, AUTOSAR, middleware, in-vehicle applications, OTA, cybersecurity, functional safety, and continuous validation. Developed through work with automotive clients, technology partners, industry associations, and open-source communities, they provide reusable foundations for building and validating scalable SDV platforms across diverse silicon, operating systems, and technology stacks.
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.
Map Compilation Accelerator
Intellias Map Compiler accelerates the compilation of map data in various formats into NDS.Live, allowing businesses to integrate updatable, reliable, and accurate online maps into their products and services.
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.
Five strategic pillars for SDV engineering
Intellias strives to create value beyond today’s delivery scope by supporting software scale-up, engineering productivity, validated quality, and flexible delivery. Our software-defined vehicle development strategy combines AI-enabled engineering, deep automotive and mobility expertise, and disciplined execution, with a clear goal to operate at the partner level by sharing ownership, accountability, decision-making, and risk management. This strategic approach to SDV development is built around five pillars that show where Intellias can make the strongest contribution to future mobility products.
Pillar 1:
AI-enabled engineering
We apply AI across selected stages of the automotive V-model to increase engineering capacity, accelerate repetitive work, and allow senior specialists to focus on decisions that require automotive expertise.
- V-Tools automate selected requirements, development, testing, and verification activities within Automotive SPICE workflows.
- AI assists with test generation, HMI visual validation, defect analysis, and engineering documentation.
- Human oversight keeps architecture, safety, and production decisions under expert control.
- Senior-led, AI-enabled teams can deliver more effectively with focused engineering resources.
Pillar 2:
Full-stack platform capability
We combine embedded, vehicle, cloud, and user-experience engineering to build and validate complete SDV concepts within one connected technology environment.
- IntelliKit, Automotive Technology Platform, provides a full-stack automotive prototyping foundation.
- Capabilities span embedded software, AI and ADAS, cloud platforms, and HMI/UX.
- Delivery practices align with Automotive SPICE CL2, ISO 26262, and ISO/SAE 21434 requirements.
- Technology relationships with companies such as Qualcomm and 3SS extend platform and integration expertise.
Pillar 3:
Vendor-agnostic full-stack engineering
We design SDV solutions around each client’s product strategy and existing technology landscape, preserving flexibility across silicon, operating systems, middleware, and cloud platforms.
- No dependency on a single silicon, software, or platform vendor.
- Cross-platform expertise supports integration across vehicle domains.
- End-to-end engineering connects embedded systems, applications, cloud services, and validation.
- Architectures adapt to OEM technology stacks and future SDV platform decisions.
Pillar 4:
Quality and delivery excellence
We embed quality, traceability, and accountability throughout SDV development so teams can identify issues early and maintain control over complex programs.
- Transparent governance provides clear visibility into progress, risks, and decisions.
- Continuous verification builds quality into development instead of relying on final inspection.
- Senior engineers retain ownership of critical technical outcomes.
- AI-enabled accelerators support consistent delivery without replacing expert judgment.
Pillar 5:
Flexible business models
We adapt team structure, responsibility, and governance to the client’s delivery model, technical maturity, and preferred level of control.
- Engagement models align with established client governance.
- Roles, decisions, and accountability remain clearly defined.
- Teams and delivery responsibility scale with program priorities.
- Intellias can assume broader ownership as requirements and partnerships evolve.
Partnerships and certifications
What our clients say
Over the past few years of our partnership with Intellias, our teams have closely collaborated to successfully deliver critical programs to HERE customers. Intellias teams have consistently delivered on time and on quality. They have been extremely responsive and customer focused, mobilizing quickly to respond to requests, challenges, and feedback. We are looking forward to continuing our close relationship and accompanying Intellias in their global development.
We are excited to partner with Intellias and combine our ICs with their software expertise to deliver exceptional products to our customers. Our partnership with Intellias represents a significant step forward for Elmos. By combining our strengths, we are now even better positioned to deliver state-of-the-art automotive innovation that meets the evolving needs of the industry. This partnership is a win-win for both companies, and most importantly, for our customers.
It all comes down to capabilities, experience, and scalability. The Intellias team has Digital Cockpit-specific knowledge on the SDK level combined with vast experience building HMI solutions. We have also been working with Intellias for quite some time, so there’s a strong relationship there already. These insights and the Intellias capabilities showcased during a couple of joint projects made us believe and trust in Intellias as a partner.
We are extremely excited about the superior tech capabilities and DNA of Intellias and are confident that the partnership will have further positive impact on the extensive value and benefits we create for our customers.
Throughout years of collaboration, Intellias has proven to be much more than just a software engineering vendor. We built strong partnership with shared goals and vision. They provided consultancy and served as trusted advisors, supporting MileMaker through various situations, even the most challenging ones. With their technical expertise, operational efficiency, and deep understanding of the industry, Intellias has ensured our business continuity, which is critical for our future sustainable growth.
Related SDV insights
Software-defined vehicle development FAQ
A software-defined vehicle is designed so that many functions, services, and user experiences are implemented and evolved primarily through software. Compared with a traditional ECU-centric vehicle, an SDV typically uses more centralized computing, service-oriented communication, hardware abstraction, vehicle-cloud connectivity, and continuous software delivery. Hardware remains essential, but software can change more independently throughout the vehicle lifecycle.
Intellias works across zonal and centralized E/E architecture, embedded and base software, operating systems, AUTOSAR, middleware, digital cockpit and ADAS applications, navigation, connectivity, cloud platforms, OTA/FOTA, data engineering, DevOps, testing, functional safety, and cybersecurity. Clients can engage with us for SDV consulting on one specific layer or cross-layer integration.
ISO 26262 for functional safety (including ASIL B and above delivery experience), ISO/SAE 21434 for automotive cybersecurity, Automotive SPICE for engineering process (CL2), and support for UNECE R155 and R156 obligations covering cybersecurity management and software update management. Production-representative validation runs in the Intellias Engineering Garage, assessed at TISAX Assessment Level 3.
Intellias is not tied to a silicon vendor, operating system, hypervisor, or SDV platform. We work across AUTOSAR Classic and Adaptive, RTOS, Linux, QNX, Android Automotive OS, and Green Hills, on the compute platforms the client has already selected, and we integrate alongside existing Tier 1 and software suppliers rather than displacing them. Where a client has no incumbent stack, we help evaluate options against program requirements instead of defaulting to a product we sell.
Traditional automotive software is developed per ECU, frozen at start of production, and changed only through hardware revisions or workshop updates. SDV development decouples software from hardware: functions are built as services on centralized or zonal compute, delivered continuously through OTA, and evolved across the vehicle lifecycle. The practical consequences are architectural (service-oriented interfaces, hardware abstraction, virtualization), organisational (continuous integration and release governance instead of one-shot delivery), and regulatory (UNECE R155/R156 obligations for update and cybersecurity management).
Scope determines duration. A focused engagement, a zonal architecture concept, a BSP bring-up on a new SoC, or a validation framework, typically runs three to nine months. A production SDV platform program spanning architecture, base software, applications, cloud, and validation to SOP runs across multiple years and vehicle lines. Intellias works both ways: single-layer teams that plug into a client’s existing program, and cross-layer ownership where we take responsibility for an integrated platform stream.
AI can augment requirements analysis, architecture change-impact work, code generation, test design, visual HMI validation, bug triage, compliance checks, and reporting. Intellias uses human-controlled, toolchain-integrated workflows and can keep the approach cloud- and model-agnostic. AI-enabled vehicle features are engineered with explicit attention to data governance, privacy, cybersecurity, validation, and deterministic fallback behavior.
Intellias provides complete zonal E/E architecture design. This can include target-topology definition, functional allocation, ECU consolidation, high-performance compute and zonal gateway design, communication and data-flow planning, virtualization and isolation, safety and cyber concepts, and integration with diagnostics, OTA, cloud, and vehicle data services. We also help plan staged migration of software defined vehicle solutions from distributed or domain-based environments.
Validation can span requirements traceability, unit and integration testing, MIL/SIL/HIL, virtual ECUs, data replay, fault injection, performance and resource analysis, HMI visual testing, and qualification evidence. Production-representative work can use physical ECUs, test benches, HIL environments, and pre-series vehicles in the Engineering Garage at TISAX Assessment Level 3.
Safety and cybersecurity are coordinated from architecture through verification. Intellias supports HARA and TARA activities, secure boot and secure update, workload isolation, cryptographic controls, gateway protection, vulnerability and penetration testing, ISO 26262- and ISO/SAE 21434-aligned engineering, Automotive SPICE-aligned processes, and support for UNECE R155/R156 obligations. The exact assurance scope is tailored to the system and the client’s homologation responsibilities.