Automotive Software Development Services

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  • PROTECT MARGINS

    Cut recall exposure, warranty cost, and support load by making vehicle behavior predictable across versions and conditions.

  • LAUNCH FASTER

    Compress time-to-road with early drift detection and continuous behavioral validation. Hit schedules with fewer regressions and faster approvals.

  • SCALE RELIABLY

    Roll out remote updates safely at fleet scale with rollback and live insight. Keep every vehicle on the right version.

Why It Matters

At scale, control is everything.

As vehicles become software-defined platforms, automotive software development services have moved to the center of innovation. Electrification, connected mobility, and autonomous technologies are pushing engineering teams to build complex software ecosystems that extend far beyond the vehicle itself.

In modern automotive platforms, embedded systems, cloud services, fleet intelligence, and data pipelines must work as a single operational system. Many automotive software development companies now face a new reality: software architecture determines how quickly new capabilities can move from engineering teams to vehicles on the road.

Modernize what slows you down. Build what moves you forward. Innovate to stay ahead.

We restore control at the architectural layer, turning fragmented delivery into an engineering system that scales. In automotive software development, our AI accelerates consistency, detects drift early, and reduces the manual overhead that slows engineering teams.

Modernizing unstable systems? Launching new products?

We build development environments that deliver enterprise-grade scalability, compliance-driven security, and control baked in from day one.

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Our Edge

Why Choose Devox Software for Automotive Software Development Services?

  • Modernize
  • Build
  • Innovate

Legacy logic stalling feature delivery?

We isolate critical behavior factors, reduce risks in transitions, and transform legacy code into structured platforms.

Software fragmented across ECUs, clouds, and services?

We bring cohesion through modular architecture, real-time observability, and aligned state control.

Delivery blocked by cross-platform inconsistencies?

We refactor system flows with stable interfaces, runtime validation, and CI pipelines built for multi-platform complexity.

Need to ship fast without breaking stability?

Our AI-accelerated delivery pipelines are trace-aware and regression-hardened, built to sustain velocity after release.

New features triggering unpredictable behavior?

We run behavioral parity across ECUs, edge, and backend, designed and validated.

Timelines slipping due to lack of alignment?

We enforce TEATRA across teams: traceability, environment parity, automation, testing, review, and alignment.

AI too risky to deploy in production?

We ship guardrailed AI, observable, testable, and designed for safety-critical use.

OTA stalled by infrastructure limitations?

Staged, signed, rollback-ready OTA with auditability across regions and fleets, so every rollout is safe, traceable, and reversible.

Platform needs to scale, but complexity compounds?

We optimize signals at the edge, run data contracts, and reinforce telemetry so models train and behave on trusted data.

What We Offer

Services We Provide

  • Embedded Software Development

    Get embedded automotive software development running directly on a vehicle’s electronic control units (ECUs) and domain controllers to control critical driving functions: steering, braking, engine control, airbag deployment, battery management, power distribution, and more. What you get:

    • ECU & DCU Firmware Development. Firmware for engine control units (ECUs) and domain controllers (DCUs) ensures real-time behavior, diagnostics via UDS, and compliance with ISO 26262 for safety.
    • AUTOSAR Integration. Classic and adaptive AUTOSAR stacks enable modular components, software reuse, and vendor-agnostic development across various hardware platforms.
    • Flash Memory Management. Secure bootloaders with memory segmentation, validation checks, and support for A/B partitioning enable safe OTA deployments.
    • Real-Time Operating System (RTOS) Customization. Configured FreeRTOS, QNX, and Zephyr operate for real-time needs with low-level drivers and I/O schedulers.
    • Diagnostics & Communication Protocols. Our firmware supports LIN, CAN, CAN-FD, and Ethernet stacks with diagnostics (UDS, DoIP), DTC management, and ISO 14229/ISO 15765 support.
    • Safety-Critical Code Compliance. Static analysis, formal verification tools, and code coverage analysis at the unit level are totally compliant with MISRA-C and ISO 26262 ASIL-B/D standards.

    Modern vehicles require modern firmware. Our automotive software development solutions help you engineer embedded systems that exactly meet today’s complexity.

  • Automotive OS & Middleware Development

    As an automotive software development company, we build custom operating systems and middleware layers that unlock modularity, speed up deployment, and enable cross-platform compatibility across your vehicle ecosystem.

    Integrated stacks don’t scale.

    When software is hardwired to hardware, even a minor change can compromise the entire system. Legacy architectures force teams to rewrite entire stacks just to add new features. This slows time-to-market, increases defect rates, and locks you into rigid vendor-specific ecosystems.

    Middleware abstraction is not a luxury — it’s foundational to software development for automotive that enables modularity, scalability, and cross-platform evolution.

    What we deliver:

    • Real-Time OS Customization. QNX, FreeRTOS, Zephyr and AUTOSAR Adaptive are the platforms where we customize and optimize RTOS kernels for performance-critical domains.
    • Middleware Layer Development. We design and implement middleware for communication, memory management, sensor abstraction, and service discovery, decoupling application logic from ECU hardware.
    • Service-Oriented Architecture (SOA). We enable in-vehicle microservices with standardized APIs, dynamic discovery, and modular deployment. Middleware layers support DDS, SOME/IP, and POSIX-compatible IPC.
    • Platform Virtualization. We support hypervisor-based architectures to isolate safety-critical and infotainment stacks, allowing secure OTA updates and sandboxed app execution.
    • Vehicle Communication Stack Integration. We provide middleware integration for CAN, LIN, FlexRay, Ethernet (TSN), and V2X, with protocol translation, session management, and security layers.
    • Functional Safety & Security Architecture. We integrate mechanisms like ASIL decomposition, watchdog monitoring, memory protection units (MPU), and secure boot into your OS and middleware stack.

    A modular vehicle software platform isn’t just easier to maintain — it opens up a new pace of innovation. With our OS and middleware architecture, your teams gain the agility to deliver faster, scale smarter, and build safer.

  • ADAS & Autonomous Driving Software

    Achieve AUTOSAR-based architectures for ADAS/AD (Autonomous Driving) solutions that are safe, reliable, and compliant. Our algorithms and systems turn vehicle data into real-time decisions. From Level 1 to Level 4 autonomy, we help you deliver safe, intelligent driving experiences.

    We develop full-cycle ADAS/AD solutions, from programming sensors and integrating embedded operating systems to processing data in real time, optimizing algorithms, and making ADAS apps that automate important driving tasks. What exactly do you get:

    • Real-Time Sensor Data Fusion. Customized ROS2 architectures integrate LiDAR, radar, camera, and ultrasonic inputs to construct a unified, millisecond-accurate environmental grid. This unified perception layer guarantees exact object tracking and dynamic spatial awareness.
    • Edge-Optimized Neural Networks. Lightweight computer vision models like YOLO and EfficientDet deploy directly onto automotive-grade hardware from NVIDIA and NXP. This localized inference ensures immediate object detection and highly responsive system execution.
    • Dynamic Trajectory Planning. Predictive behavioral models and advanced algorithms calculate optimal vehicle paths to secure seamless navigation through complex traffic environments. These systems maintain strict adherence to legal requirements and prioritize passenger safety.
    • Closed-Loop Virtual Validation. Virtual test environments like Carla and LGSVL execute million-mile stress tests to validate edge-case responses. This rigorous digital testing secures algorithmic reliability across highly complex driving conditions.
    • ISO 26262 Safety Logic Architecture. Deterministic fail-safe mechanisms and redundant execution paths embed directly into the control layer. This architecture maintains absolute system integrity and guarantees full SOTIF compliance during critical maneuvers.
  • OTA (Over-the-Air) Infrastructure for Automotive

    Let your software, firmware, and configuration updates be sent to cars from a distance throughout their lifecycle. Features like managing updates, signing and verifying cryptographic information, managing versions and dependencies, staged rollouts, health checks, and rollback procedures ensure that updates are safe, durable, and can be checked.

    This way, manufacturers may address bugs, add features, and stay compliant across regions and fleets without having to recall or stop working. More of what you get:

    • Full OTA Stack Implementation. Automotive-grade OTA systems have device targeting, phased rollout, retry logic, rollback support, and update integrity checks for both application and firmware layers.
    • Delta & Dual-Partition Update Support. Our OTA infrastructure enables differential updates and A/B partitioning, reducing bandwidth use and ensuring safe failover in case of update failure.
    • Secure Update Pipeline. We ensure compliance with ISO/SAE 21434 and UN R156 through end-to-end encryption, digital signing, integrity verification, and secure boot.
    • Telemetry. Live update status shows vehicle reachability. You can see installation success or failure logs, all visualized on a cloud dashboard with alerts.
    • Backend & Cloud Integration. OTA infrastructure integrates with your DevOps pipeline, vehicle cloud backend, CI/CD, and telemetry systems, built on AWS, Azure, or custom hosting.

    With OTA done right, your team can fix, enhance, and scale software long after vehicles leave the factory. We make OTA a core part of your automotive service software solutions architecture, not a patch on top.

  • Connected Car

    Modular, cloud-integrated IoT platforms link vehicles, drivers, and infrastructure into one secure, real-time system. The car’s connectivity enables real-time diagnostics, remote services (lock/unlock, climate control), navigation and traffic updates, infotainment, over-the-air software updates, fleet and usage statistics, and predictive maintenance.

    What you get with our automotive software development solutions:

    • Embedded Protocols. We ensure automotive-grade connectivity with CAN, LIN, MQTT, BLE, and Ethernet.
    • Cloud-Native Infrastructure. We create cloud backends with device registries, telemetry ingestion, stream processing, storage, and alerts. Platforms include AWS IoT Core, Azure IoT Hub, GCP IoT, or custom solutions.
    • Cross-Vehicle Telemetry. Unified dashboards for vehicle health, location, fuel usage, and sensor anomalies let you easily navigate across models, geographies, and operators.
    • Driver-Facing Interfaces. Mobile apps, in-vehicle UIs, and web portals simplify receiving real-time notifications, vehicle status, OTA scheduling, remote controls, and usage history.
    • Rapid PoC & MVP Delivery. With pre-built modules for security, OTAs, dashboards, and analytics, we help OEMs and mobility startups launch PoCs or MVPs in 8–12 weeks and then scale.
  • AI & Predictive Systems for Automotive

    Automotive data and software solutions with AI transform raw vehicle data into real-time decisions, predictive alerts, and self-optimizing performance. Unlock your benefits: 

    • Predictive Maintenance. We train machine learning models with real-world sensor data and fault logs to anticipate component failures, reducing unplanned downtime and service costs.
    • Driver Behavior Analytics. AI analyzes driving patterns, like aggressiveness and fatigue for insurers, fleets, and OEMs to tailor services, pricing, or in-vehicle alerts.
    • Anomaly Detection Systems. Unsupervised learning and streaming analytics spot small anomalies in telemetry, ECU behavior, and network traffic.
    • Edge ML Deployment. AI models on edge devices like NVIDIA Jetson and NXP S32 for inference directly in the vehicle, even offline.
    • Sensor Fusion with AI. Neural networks for sensor fusion and object recognition include LiDAR, radar, cameras, 2D/3D vision, semantic segmentation, and multi-object tracking.
    • Data Engineering for Automotive AI. Secure data pipelines from in-vehicle sources to cloud platforms support labeling, augmentation, model retraining, and continuous learning at scale.

    From failure prediction to on-road perception, we help you build vehicle intelligence that evolves.

  • Fleet Management Systems

    Gain complete operational control from one dashboard. Our custom fleet platforms unify logistics, diagnostics, routing, and resource planning into one system. What you get:

    • Telematics-Driven Fleet Dashboards. Our dashboards display real-time details for each vehicle and the whole fleet. You can see location, status, fuel use, battery health, tire pressure, and fault codes.
    • Predictive Maintenance Scheduling. Past and live data predict service needs before breakdowns and optimize service intervals.
    • Capacity & Route Optimization. Traffic, delivery, and payload data suggest dynamic routing and load balancing for less idle time and improved asset use.
    • Driver Monitoring & Scoring. We track behaviors like speeding, braking, and idle time to provide safety scores and coaching tips for every driver.
    • Integration with Existing Systems. We connect your fleet platform with ERP, WMS, TMS, and third-party APIs to create one source of truth across operations.
    • Mobile Access. Drivers and operators interact through automotive HMI software connected to backend systems in real time.

    Whether you manage 100 vehicles or 10,000, we provide tools for efficiency, quick responses, and smooth operations, paving the way for a strategic business advantage.

  • In-Vehicle Infotainment (IVI) Systems

    • Android Automotive OS Customization. Custom AOSP builds integrate the operating system directly with the vehicle’s underlying hardware abstraction layer (HAL). This native architecture establishes a unified ecosystem for localized media, vehicle settings, and HVAC control.
    • Immersive 3D HMI Architecture. High-fidelity rendering frameworks like Qt and Unreal Engine generate intuitive, multi-display user interfaces. This fluid visual layer delivers immediate interactive feedback and guarantees a highly responsive cabin experience across all digital screens.
    • Edge-Based Voice Intelligence. Localized Natural Language Processing (NLP) modules execute complex driver commands instantly to adjust climate, media, and navigation settings. This hands-free control interface maximizes driver focus and sustains continuous operation under any network conditions.
    • Seamless Mobile Ecosystem Integration. Certified middleware protocols embed Apple CarPlay and Android Auto securely into the central digital unit. This synchronized projection connects the user’s personal smartphone environment directly with the vehicle’s main displays.
    • Sandboxed App Ecosystems. Secure execution environments deploy third-party multimedia, streaming, and productivity applications safely within the cabin. This modular software infrastructure supports continuous digital expansion and enriches the passenger experience throughout the vehicle lifecycle.
  • Automotive Navigation Software

    • High-Definition Mapping and SLAM. Advanced map-matching algorithms pinpoint the vehicle’s exact position within centimeter-level HD maps using continuous sensor data. This precise localization layer supports lane-level guidance and perfectly synchronizes with autonomous driving stacks.
    • Dynamic Cloud-Based Routing. Predictive models and real-time traffic APIs compute the most efficient travel paths instantly. The architecture recalculates routes continuously to optimize travel time and minimize fuel or energy consumption based on live road conditions.
    • Augmented Reality HUD Integration. Custom graphics rendering engines project directional prompts and spatial alerts directly onto the driver’s field of view. This intuitive visual overlay accelerates driver reaction times and significantly enhances overall situational awareness.
    • Battery-Aware EV Routing. Specialized algorithms calculate precise energy expenditure by analyzing topography, weather patterns, and real-time state-of-charge. The navigation system automatically schedules optimal charging stops at compatible stations to guarantee a seamless electric journey.
    • Hybrid Edge-Cloud Navigation. Embedded spatial databases sustain continuous route guidance through entirely localized map processing. The system synchronizes smoothly with cloud servers upon network availability to integrate live traffic intelligence and fresh map tiles.
  • Automotive IoT Platforms

    We create modular, cloud-integrated IoT platforms that link vehicles, drivers, and infrastructure into one secure, real-time system.

    For an automotive software development company, disconnected systems quickly become a barrier to product delivery. Modular integration and unified architecture turn fragmented platforms into a system that evolves with the vehicle ecosystem.

    In-car software, mobile apps, and cloud infrastructure often develop separately. This results in broken experiences, sync issues, and fragmented data. Internal IoT platforms can take years to launch, often lacking scalability, security, or OTA support. Without modular building blocks, adding new features often requires rebuilding large parts of the stack.

    What we deliver:

    • End-to-End Connected Vehicle Platform. We create complete solutions that link edge hardware, like sensors and ECUs, with gateway devices, cloud services, and mobile or web apps. They respond in nearly real time.
    • Embedded Protocols. We ensure automotive-grade connectivity with CAN, LIN, MQTT, BLE, and Ethernet. This works with ECU firmware, sensor clusters, and telematics control units.
    • Cloud-Native Infrastructure. We create cloud backends with device registries, telemetry ingestion, stream processing, storage, and alerts. Platforms include AWS IoT Core, Azure IoT Hub, GCP IoT, or custom solutions.
    • Cross-Vehicle Telemetry. We provide unified dashboards for vehicle health, location, fuel usage, and sensor anomalies across models, geographies, and operators.
    • Driver-Facing Interfaces. We design mobile apps, in-vehicle UIs, and web portals for real-time notifications, vehicle status, OTA scheduling, remote controls, and usage history.
    • Rapid PoC & MVP Delivery. With pre-built modules for security, OTA, dashboards, and analytics, we help OEMs and mobility startups launch PoCs or MVPs in 8–12 weeks, then scale.

    Connected mobility is now essential, not optional. We provide the architecture to launch quickly, scale securely, and evolve continuously in the connected vehicle era.

  • Software-Defined Vehicle (SDV) Architecture

    • Adaptive AUTOSAR Integration. Scalable middleware standardizes hardware-to-software communication across the entire vehicle network. This abstraction layer empowers engineers to deploy isolated microservices dynamically across centralized computing domains.
    • Bi-Directional OTA Pipelines. A/B partitioned firmware updates utilize delta compression to secure fleet-wide capability upgrades. This pipeline ensures rapid, fully reversible installations that maintain continuous vehicle availability.
    • Hypervisor-Based Domain Isolation. Advanced hypervisors logically separate safety-critical vehicle controls from infotainment operating systems. This structural isolation guarantees uncompromised execution of core driving functions.
    • High-Performance Compute Centralization. Consolidated zonal controllers absorb legacy distributed ECUs to drastically reduce wiring weight. This centralized topology accelerates internal data routing and simplifies overall vehicle engineering.
    • Automotive CI/CD Automation. Automated testing pipelines streamline the deployment of embedded software directly to edge devices. This automation enables continuous integration of new vehicle features at enterprise scale.
  • Connected Car and Telematics

    • V2X Protocol Implementation. Ultra-low-latency communication channels connect vehicles with smart city infrastructure and adjacent traffic. This bidirectional data exchange optimizes route planning and expands the vehicle’s environmental awareness.
    • Predictive Digital Twin Synchronization. Cloud environments mirror physical vehicle telemetry to track component health dynamically. This constant synchronization enables highly accurate anomaly detection and proactive fleet maintenance.
    • Real-Time Telematics Aggregation. Edge algorithms process high-throughput sensor data locally to maximize bandwidth efficiency. The vehicle transmits strictly structured, actionable intelligence to central enterprise dashboards.
    • Zero-Trust Connectivity Frameworks. End-to-end encryption and mutual authentication apply across all external communication interfaces. This cryptographic security protects passenger data and secures the vehicle’s operating system from external manipulation.
    • In-Cabin Digital Ecosystems. Synchronized cloud services connect personalized driver profiles directly to the vehicle’s central display. This integration delivers a continuous, high-performance digital experience tailored to individual user preferences.
Our Approach

Our Automotive Software Development Process

We build software that delivers measurable results. Each step of our process removes friction, reduces risk, and accelerates time to impact.

01.

01. Discovery & Technical Audit

We assess your architecture, product requirements, and technical constraints. Through technical audits, we identify technical debt, integration issues, and performance bottlenecks so we can address root causes early.

02.

02. Architecture & Planning

We design modular, testable, and scalable systems built for long-term growth. Whether building from scratch or refactoring legacy, we define the architecture, interfaces, data flows, and edge constraints upfront.

03.

03. Build & Integrate

Our backend, frontend, DevOps, and QA teams work in parallel to keep delivery fast and predictable. Powered by our AI Solution Accelerator™, we eliminate blockers early, validate continuously, and keep velocity stable.

04.

04. Validate & Harden

We identify failures before they reach production. Load testing, edge-case simulations, and security audits are all part of our pipeline. Every release passes TEATRA validation across eight dimensions, from architecture to usability to resilience.

05.

05. Launch & Iterate

Go live with confidence. We provide post-launch support, observability tooling, rollout strategies, and incident workflows. After release, we iterate based on real data, not assumptions.

  • 01. Discovery & Technical Audit

  • 02. Architecture & Planning

  • 03. Build & Integrate

  • 04. Validate & Harden

  • 05. Launch & Iterate

Benefits

Benefits

01

AI-Orchestrated Delivery

Our AI Solution Accelerator™ aligns teams and automotive software development services with real-time insight, removes delivery blind spots, and compresses feedback loops into hours, not weeks. This way, we ensure consistency across embedded, cloud, and edge systems, accelerating complex projects without sacrificing control or quality.

02

Legacy, Rewired for Scale

We modernize legacy systems through targeted improvements that preserve critical business logic. We use runtime analysis, API mapping, and architecture refactoring to modernize legacy platforms without disrupting core functionality.

03

Compliance-Driven Architecture

Security and safety are built into the system from day one. Functional safety patterns, OTA rollback protocols, threat modeling workflows, and coverage-aware pipelines are integrated into the development lifecycle. Our automotive ECU software development ensures each release supports ISO 26262, ISO/SAE 21434, and UN regulations, structurally and traceably.

04

Full Lifecycle Support

We handle everything from planning and designing how to modernize ERP to reworking, moving, integrating, and optimizing it after it goes live. This way, you don't have to deal with many different providers to keep things smooth. Your platform won't become the next outdated system; it will keep getting better as the business expands.

05

CASES Framework

Together with AutoMobility Advisors, we bring additional automotive expertise to every engagement. Together, we deliver our solutions in line with the CASES framework (Connected, Autonomous, Shared, Electric, and Security/Privacy) and set the direction for autonomous strategy from SAE Level 2–5, shape shared mobility models, support electrification programs, and improve security and privacy, so you receive real business results.

Built for Compliance

Industry Regulations We Master

In software development in automotive, we embed global and regional frameworks directly into delivery logic across safety, cybersecurity, update governance, and digital vehicle infrastructure. Each update aligns with the latest release cycles, ensuring every system scales with full traceability, auditability, and trust.

[Functional Safety & Vehicle Architecture]

  • ISO 26262

  • ISO/PAS 21448 (SOTIF)

  • SAE J3016

  • ASPICE

  • ISO/TR 4804

[Cybersecurity & Software Updates]

  • ISO/SAE 21434

  • UN Regulation No. 155 (CSMS)

  • UN Regulation No. 156 (SUMS)

  • WP.29 (UNECE)

  • ISO 24089:2023

[Autonomous Driving & System Behavior]

  • SAE J3018

  • UL 4600

  • ANSI/UL 4600

  • ISO/TR 23374

  • ISO 34502 (AD)

  • ISO 22737 (L4 low-speed)

[Over-the-Air & Digital Vehicle Lifecycle]

  • UNECE R156

  • ISO 24089

  • AUTOSAR Adaptive OTA

  • DLT-based update audit chains

[Data Privacy & In-Vehicle Analytics]

  • GDPR

  • CCPA

  • ISO/IEC 27001:2022

  • ISO 27017 (Cloud Security)

  • ePrivacy Directive

[AI-Powered Vehicle Systems]

  • EU AI Act (2024/1689)

  • ISO/IEC 42001 (AI Management)

  • NIST AI RMF 1.0

  • ISO/TS 82304-2 (AI-based systems quality)

  • ISO 24028 (AI trustworthiness)

Case Studies

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Testimonials

Testimonials

Carl-Fredrik Linné                                            Sweden

The solutions they’re providing is helping our business run more smoothly. We’ve been able to make quick developments with them, meeting our product vision within the timeline we set up. Listen to them because they can give strong advice about how to build good products.

Darrin Lipscomb Darrin Lipscomb
Darrin Lipscomb United States

We are a software startup and using Devox allowed us to get an MVP to market faster and less cost than trying to build and fund an R&D team initially. Communication was excellent with Devox. This is a top notch firm.

Daniel Bertuccio Daniel Bertuccio
Daniel Bertuccio Australia

Their level of understanding, detail, and work ethic was great. We had 2 designers, 2 developers, PM and QA specialist. I am extremely satisfied with the end deliverables. Devox Software was always on time during the process.

Trent Allan Trent Allan
Trent Allan Australia

We get great satisfaction working with them. They help us produce a product we’re happy with as co-founders. The feedback we got from customers was really great, too. Customers get what we do and we feel like we’re really reaching our target market.

Andy Morrey                                            United Kingdom

I’m blown up with the level of professionalism that’s been shown, as well as the welcoming nature and the social aspects. Devox Software is really on the ball technically.

Vadim Ivanenko Vadim Ivanenko
Vadim Ivanenko Switzerland

Great job! We met the deadlines and brought happiness to our customers. Communication was perfect. Quick response. No problems with anything during the project. Their experienced team and perfect communication offer the best mix of quality and rates.

Jason Leffakis Jason Leffakis
Jason Leffakis United States

The project continues to be a success. As an early-stage company, we're continuously iterating to find product success. Devox has been quick and effective at iterating alongside us. I'm happy with the team, their responsiveness, and their output.

John Boman John Boman
John Boman Sweden

We hired the Devox team for a complicated (unusual interaction) UX/UI assignment. The team managed the project well both for initial time estimates and also weekly follow-ups throughout delivery. Overall, efficient work with a nice professional team.

Tamas Pataky Tamas Pataky
Tamas Pataky Canada

Their intuition about the product and their willingness to try new approaches and show them to our team as alternatives to our set course were impressive. The Devox team makes it incredibly easy to work with, and their ability to manage our team and set expectations was outstanding.

Stan Sadokov Stan Sadokov
Stan Sadokov Estonia

Devox is a team of exepctional talent and responsible executives. All of the talent we outstaffed from the company were experts in their fields and delivered quality work. They also take full ownership to what they deliver to you. If you work with Devox you will get actual results and you can rest assured that the result will procude value.

Mark Lamb Mark Lamb
Mark Lamb United Kingdom

The work that the team has done on our project has been nothing short of incredible – it has surpassed all expectations I had and really is something I could only have dreamt of finding. Team is hard working, dedicated, personable and passionate. I have worked with people literally all over the world both in business and as freelancer, and people from Devox Software are 1 in a million.

Insights

Our Experts' Insights

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FAQ

Frequently Asked Questions

  • How is AI being used in automotive software development?

    In ADAS and autonomy, AI helps vehicles understand their environment in real time, fusing data from LiDAR, radar, cameras, and GPS to build a live, dynamic map of the world. It detects pedestrians, tracks vehicles, predicts movement, and makes millisecond decisions based on that perception.

    AI also helps us accelerate EV software development, especially in battery management, charging optimization, and predictive analytics. It gives engineering teams better visibility into system behavior and delivery risks.

  • Can your architecture and tooling support cross-functional simulation?

    Definitely. In fact, that’s a core part of how we design for trust.

    From perception to actuation, we support full-loop simulations seamlessly integrated into automotive software testing and validation pipelines.

    We use tools like Carla and LGSVL to simulate edge cases, stress-test autonomy logic, and validate safety paths under unpredictable conditions. And we don’t just stop at running simulations; our CI pipelines are built around automotive simulation and modeling software that feeds outputs back into architecture refinement and test generation.

    Cross-functional means more than just ADAS teams. Our pipelines support automotive software integration services by bringing in QA, DevOps, safety, and systems engineering, all within CI-integrated test environments that mimic real-world vehicle behavior. Everything stays traceable and auditable, aligned with ISO 26262 and SOTIF standards.

  • What are the key automotive industry software solutions driving innovation today?

    Innovation in automotive today is about designing systems that behave smarter, adapt faster, and scale across domains like automotive infotainment software development, ADAS, and predictive maintenance. 

    Middleware, a core layer of any modern automotive software solution, decouples logic from hardware and accelerates integration. On top of that, autonomous systems, particularly ADAS, are evolving fast.

  • What are the challenges of developing software for autonomous vehicles?

    Automotive software development requires systems that perform reliably under real-world conditions.

    For example, one of the key challenges in ADAS software development services is perception, fusing camera, LiDAR, radar, and GPS signals into a coherent, real-time view of the environment. 

    Then comes decision-making. Edge cases, like unexpected human behavior, unmarked roads, or sensor failures, test the system’s ability to reason and react like a cautious, confident human driver. These scenarios cannot be addressed through static rules alone. That’s why an automotive software development company must combine learning models with high-fidelity validation environments to handle edge cases.

  • How does automotive software development services ensure safety and compliance with industry standards?

    In automotive software, safety drives architecture, development, testing, and release decisions.

    We start by designing systems where critical behavior stays stable, predictable, and verifiable across versions, loads, and environments. In automotive embedded software development, the rules that control braking, steering, or power distribution follow set paths and are kept separate from changing or less important processes.

    We ensure lifecycle-wide alignment with ISO 26262, ISO/SAE 21434, SOTIF, UN R155, and R156 standards. Security is built into the core, with signed updates, partitioned OTA systems, and automotive cybersecurity solutions that enforce telemetry-aware rollback and compliance alignment.

  • What role does IoT play in connected car software development?

    Inside the vehicle, IoT handles structured communication between ECUs, sensors, and middleware layers. This is automotive-grade messaging across CAN bus software development, Ethernet TSN, and V2X stacks, all optimized for deterministic timing and safety.

    On the edge, IoT bridges the vehicle to cloud infrastructure. That means live telemetry pipelines, OTA orchestration layers, and cross-vehicle fleet intelligence running in sync. 

    IoT also powers observability. Real-time dashboards in vehicle diagnostics software solutions capture system health across regions, platforms, and configurations, showing fault codes, sensor drift, energy usage, and application state without delay.

  • How do you support lifecycle traceability from development through OTA updates and incident response post-launch?

    We start with system decomposition. Every module, interface, and safety function gets mapped to its technical and business intent, with trace paths extending from requirements into code, test coverage, and validation artifacts. In automotive ECU software development, trace paths must extend through CI/CD pipelines, versioning logic, and update orchestration layers, ensuring safe delivery and rollback capability.

    When over-the-air (OTA) software updates for vehicles go live, each one carries a cryptographic signature, is rollback-ready, and is fully mapped to its software lineage.

    Post-launch, live diagnostics, sensor anomalies, and behavioral shift signals feed into telematics software development for cars, enabling real-time incident tracking with structured incident response.

  • How do you validate ML models used in perception or prediction under edge conditions and rare events?

    Validation begins long before deployment. We engineer the dataset to reflect system-level risks, edge conditions, sensor anomalies, and behavior patterns that lie outside the statistical norm. Real-world logs form the base, extended by synthetic augmentation and simulation scenes with calibrated variability. Each scenario serves a purpose: degraded visibility, occlusion, overlapping motion vectors, and low-confidence object boundaries.

    Model performance is evaluated inside structured simulation pipelines — tools like Carla, LGSVL, and custom high-fidelity rigs, running synchronized with hardware-specific inference constraints. We use scenario replays with frame-level trace inspection, observing decision latency, output certainty, and variation under load.

    Performance metrics align with the system’s behavioral envelope. Evaluation spans perception to actuation with traceable intent, including path planning under detection uncertainty, with metrics on misclassification, prediction shift, and output validation.

    Edge deployment uses automotive-grade inference hardware — NXP, NVIDIA, Renesas — and each platform passes through thermal, throughput, and runtime audits. This guarantees timing holds under environmental pressure.

    Post-deployment, models stay under observation. Live telemetry feeds back signal entropy, misalignment from expected outcomes, and contextual anomalies. These are tagged, replayed, and reintroduced into the validation set, creating a reinforcement cycle where each vehicle strengthens the next release.

    The result is a model designed for reliability, transparency, and consistent performance across real-world edge cases.

  • What are the key software solutions driving innovation in the automotive industry?

    Most new technology is based on software. Examples include domain controllers and centralized vehicle OS platforms, ADAS/autonomy stacks, connected-car platforms, in-vehicle infotainment and digital cockpits, battery/energy management for EVs, smart charging and V2G integration, predictive maintenance and fleet analytics, and cybersecurity platforms that monitor, isolate, and update vehicle components.

  • How does automotive software ensure safety and compliance with industry standards?

    Functional safety standards like ISO 26262 dictate how safety-critical functions are designed and tested. Engineering process frameworks like Automotive SPICE help ensure that development is done in a standard way.

    Cybersecurity standards like ISO/SAE 21434 and regulations like UNECE WP.29 promote secure-by-design practices, threat modeling, and planning for incidents. In simple terms, you don’t “test safety in at the end.” Instead, you build a chain of evidence that can be checked from the beginning.

  • What programming languages are most commonly used in automotive software projects?

    C is still the most popular language for embedded and performance-critical ECU work. C++ is also commonly used for higher-level modules, middleware, and ADAS components. 

    Java/Kotlin (Android Automotive), JavaScript/TypeScript for UI, and more Rust for memory-safe systems programming in some parts are common in modern cockpits and related layers. Python primarily serves tooling, data pipelines, ML training, and test automation, rather than serving as a safety-critical embedded runtime.

  • How is over-the-air (OTA) software updating implemented in modern vehicles?

    OTA updates typically follow a structured process: package, sign, distribute, verify, install, validate, and report. Vehicles check cryptographic signatures, make sure that versions and compatibility are correct, and often employ A/B partitions (or dual-bank firmware) so they can safely roll back if something goes wrong.

    Updates are often staggered, with small groups of people getting them first, and telemetry input rapidly stops a problematic rollout. The most important thing to remember is that OTA isn’t just “sending files.” It’s a safe release process with strong identity, integrity checks, and recovery paths.

  • What role does IoT play in connected car software development?

    IoT connects the car to the cloud and everything else around it. It allows for telematics, remote services, fleet administration, and ongoing health monitoring. It also links cars to things like charging stations, parking lots, toll roads, and smart city services.

    The problem is that every connected feature makes the attack surface bigger; therefore, IoT connectivity needs to be combined with device identity, secure communication, segmentation, and ongoing security monitoring.

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