- UN R156 OTA Infrastructure Support. We architect full-stack OTA systems, from cloud to vehicle, designed to align with UN R156 requirements. Every process and document is built to facilitate compliance, reducing the risk of mid-project redesigns for software-defined vehicle solutions.
- Differential Update Engine. Our delta-only transmission reduces bandwidth up to 60%. This optimizes update speed and hardware reliability for SDV software automotive operation on unstable networks.
- Resilient Deployment Orchestration. Staged rollout control via defined groups, with automatic rollbacks triggered if stability metrics drift, ensures fleet uptime without manual intervention.
SDV Software Development for Automotive
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ACCELERATE SOFTWARE DELIVERY
Develop, test, and deploy vehicle software faster with cloud-native engineering, digital twins, and automated validation. Release new features continuously instead of waiting for model-year updates.
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MODERNIZE VEHICLE ARCHITECTURE
Replace fragmented systems with scalable SDV platforms built for centralized computing, connected services, and future growth. Reduce integration complexity and create a foundation for long-term innovation.
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CONTROL THE ENTIRE VEHICLE LIFECYCLE
Deploy secure OTA updates across the fleet, roll out new capabilities remotely, and resolve issues without service visits. Keep vehicles improving long after they leave the production line.
What We Deliver
Services We Provide
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OTA Deployment Lifecycle Engineering
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Automotive Cybersecurity Compliance Engineering
- Threat Analysis and Risk Assessment (TARA). We audit architectures using ISO/SAE 21434 methodologies to produce actionable remediation plans to support your software-defined vehicle certification process.
- Zero-Trust Network Architecture. We enforce Zero-Trust across all intra-node traffic. Independent ECU authentication, Deep Packet Inspection, and VLAN isolation lock down safety-critical systems against domain compromise.
- Secure OTA & Cryptographic Key Management. We implement end-to-end HSM-backed encryption for all cloud-to-vehicle data channels.
- Automotive VSOC Operations. Real-time fleet health monitoring, where automated response workflows cut anomaly localization from hours to minutes.
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Connected Vehicle Telematics Ecosystem
- Real-Time Telematics Data Pipeline. We build a streaming infrastructure based on Apache Kafka or AWS Kinesis that processes millions of events per second from connected vehicles without loss or delay. The architecture scales horizontally across the entire fleet.
- Unified Vehicle Data Architecture. Disparate streams from various sensors and telematics units are unified into a single schema and stored in a structured data lake. This ensures engineering, analytics, and product teams work from the same source of truth.
- Predictive Maintenance ML Models. Delivery of machine learning models for predictive component failure, derived from accumulated telematics data.
- Telematics Platform Optimization. We perform query profiling, review the indexing strategy, and optimize database configuration for real-world telematics platform load patterns. The result is a significant reduction in response time for analytical queries without changing business logic.
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Automotive AI for ADAS and Maintenance
- ADAS Computer Vision Development. We develop Computer Vision models for object detection, lane recognition, and distance estimation tasks, optimizing for specific SoCs. For a leading vehicle manufacturer, we built a simulation environment for telematics and emergency call validation that reduced testing time by 40% and achieved a 99.9% success rate in hazard scenarios.
- Safety-Oriented AI Engineering. Each AI system component is accompanied by a documentation package aligned with ISO 26262 principles: safety requirements, safety goals, verification reports, and a traceability matrix to support production release readiness.
- Edge AI Optimization & Deployment. AI models are optimized to run directly on-board the vehicle through quantization, pruning, and compilation for the target chip. This is critical for ADAS functions where cloud round-trip latency is unacceptable; decisions must be made in milliseconds on the device itself.
- AI Validation in Digital Twin Environment. Before deployment on real hardware, models are tested in a cloud-based digital twin that simulates vehicle behavior in thousands of scenarios simultaneously. This reduces the number of physical test drives, accelerates iterations, and allows for covering edge cases that are difficult to reproduce on the road.
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Automotive Middleware and Integration
- AUTOSAR Adaptive Platform Integration. We develop and configure middleware based on AUTOSAR Adaptive, a standard that allows running dynamic services on high-performance computers alongside classic AUTOSAR components. This gives OEMs the ability to gradually migrate from legacy architecture.
- Zonal Architecture Migration Design. We design the transition from decentralized architecture to a centralized zonal model with domain controllers.
- Automotive Ethernet & VLAN Configuration. You will receive automotive Ethernet as a single communication bus instead of heterogeneous vehicle networks. Setting up VLAN isolation and Deep Packet Inspection reduces vehicle weight and secures the network foundation.
- Cloud-to-Vehicle API Layer Development. We build a standardized API layer between onboard systems and OEM cloud services for telematics transmission, receiving OTA updates, and two-way data exchange with mobile apps. A single API instead of point-to-point integrations from various Tier-1 suppliers eliminates the patchwork stack and returns control over the architecture to the OEM.
- Mixed-Criticality Hypervisor Integration. We configure a hypervisor for simultaneous execution of systems with different criticality levels on a single hardware platform: safety-critical functions (braking, steering) are isolated from infotainment and connectivity services.
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Cloud-Native SDV and Digital Twin Framework
- Cloud-Native SDV Development. We deploy a fully cloud-native development environment based on containerization, adapted to automotive quality standards. Engineers gain the ability to develop, test, and integrate software components regardless of physical hardware availability, shortening the overall development cycle by months.
- Digital Twin Modeling and Simulation. We model the full SDV software architecture to run thousands of parallel test scenarios. This validates ECU and sensor behavior in virtual environments months before physical prototypes exist.
- Software Reuse Architecture. We design the platform architecture so that software components can be written once and deployed across different vehicle models without rewriting them.
Working Together
How an SDV Program Actually Runs With Us
We build the structural pieces the rest of the program rides on, leveraging our core Automotive Software Engineering Services to ensure the zonal layout, Ethernet backbone, and middleware stacks are fully compliant and scalable. A software-defined vehicle program isn't a sprint, and we don't run it like one. We build around the gates your program already has to clear—your SOP date, your ASIL targets, the R155 and R156 reviews—not around our convenience. Every phase ends with something you own and a decision that's yours to make.
WORKFLOW MANAGEMENT
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Additional Info
Core Tech:
- Svelte.js
- Node.js
- REST API
- CI/CD
- Progressive Web App (PWA)
- manual and automated QA
Country:
USA
Testimonials
Testimonials
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.
Carl-Fredrik Linné
Tech Lead at
CURE Media
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.
Darrin Lipscomb
CEO, Founder at
Ferretly
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.
Daniel Bertuccio
Marketing Manager at
Eurolinx
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.
Trent Allan
CTO, Co-founder at
Active Place
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.
Andy Morrey
Managing Director at Magma Trading
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.
Vadim Ivanenko
COO at
Optherium
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.
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.
John Boman
Product Manager at
Lexplore
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.
Tamas Pataky
Head of Product at
Stromcore
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.
Stan Sadokov
Product Lead at
Multilogin
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.
Mark Lamb
Technical Director at M3 Network Limited
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FAQ
Frequently Asked Questions
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How is your automotive expertise different from a general software vendor?
One of the biggest challenges OEMs face isn’t coding ability — it’s the clash of timelines. A typical software vendor lives in two-week Agile sprints and rapid PoCs, while a vehicle program runs four to seven years from RFQ to SOP. Code written for SDV Software Automotive without that context looks fine in a demo and then falls apart at integration, where it has to meet real-time and safety-certification requirements. Our engineers come from the embedded and AUTOSAR world, so the hardware constraints, the ASIL levels, and the certification gates are inputs from day one, not surprises at the end.
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How do you handle the AUTOSAR Classic-to-Adaptive migration?
Classic and Adaptive platforms require distinct architectural strategies: Classic uses static C on OSEK/VDX, while Adaptive runs dynamic C++ on POSIX-compliant QNX or Linux. Our software-defined vehicle engineering team manages this transition by re-architecting fixed signals into service-oriented SOME/IP paths. We isolate hard real-time requirements from dynamic apps, enabling independent function updates without total code rewrites.
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How do you keep safety-critical functions isolated from infotainment and connectivity?
There’s no single setting that does this—it’s architecture. Mixed-criticality functions run on a hypervisor that isolates safety-critical domains (braking and steering) from infotainment and connectivity on the same hardware, so a fault in a multimedia service is contained rather than free to reach a safety function. On the network side, zonal segmentation, VLAN isolation, and deterministic TSN scheduling keep critical signals in their lane, so a bandwidth-hungry OTA download or media stream never starves emergency braking of the throughput it needs.
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Is OTA actually worth it, or is it just a way to skip dealer visits?
The value of OTA isn’t only that it can fix a defect remotely—it’s that it can fix it across the fleet without the customer having to cooperate, which is where the recall economics shift. The challenge many OEMs face is update completion rates: owners ignore a patch when there’s no visible problem, leaving cars on the road with open issues. That’s what we design against: staged rollouts with telemetry, sessions that resume after interruption instead of failing, automatic rollback if metrics drift, and a delivery pipeline built to actually land updates rather than just offer them.
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How do you prevent vendor lock-in?
We eliminate vendor lock-in by decoupling application logic from hardware. Using SOME/IP services and microservices ensures your system remains modular and standards-compliant. Unlike most software-defined vehicle companies, we provide full traceability and documentation.
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How is AI used in development without compromising safety rigor?
AI accelerates the engineering — it doesn’t replace the rigor. The standards and the verification gates stay exactly where they are; what changes is the manual, error-prone work feeding into them. AI tooling drafts baseline configurations and flags dependency conflicts early before they block SiL/HiL testing downstream. Where AI does not belong is making safety decisions unsupervised, and we don’t put it there: a human engineer owns every ASIL classification, every safety mechanism, and every sign-off. The verification chain and the traceability on which certification depends remain fully human-owned.
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