Automotive Software Engineering

Build the foundation of vehicle intelligence.

Our embedded automotive software development powers your vehicle’s core systems — fast, secure, and compliant by design.

What we deliver:

• ECU & DCU Firmware Development. We design firmware for engine control units (ECUs) and domain controllers (DCUs), ensuring deterministic real-time behavior, diagnostics over UDS, and compliance with ISO 26262 for functional safety.
• AUTOSAR Integration. We implement Classic and Adaptive AUTOSAR stacks, enabling component modularity, software reuse, and vendor-agnostic development across hardware platforms.
• Flash Memory Management. We develop secure, resilient bootloaders with memory segmentation, validation checks, and support for A/B partitioning to enable safe OTA deployments.
• Real-Time Operating System (RTOS) Customization. We configure and tailor RTOS (e.g., FreeRTOS, QNX, Zephyr) for hard and soft real-time constraints, integrating low-level drivers and I/O schedulers.
• Diagnostics & Communication Protocols. Our firmware supports LIN, CAN, CAN-FD, and Ethernet stacks, with built-in diagnostics (UDS, DoIP), DTC management, and ISO 14229/ISO 15765 support.
• Safety-Critical Code Compliance. We follow MISRA-C and ISO 26262 ASIL-B/D coding standards, use static analysis and formal verification tools, and conduct code coverage analysis at the unit level.

Modern vehicles can’t rely on yesterday’s firmware. Our automotive software development solutions help you engineer embedded systems that meet today’s complexity and tomorrow’s scale with safety and maintainability built in from day one.

Decouple your software from hardware — and gain full control.

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 logic is hardwired to hardware, every change — even a minor update — becomes a system-wide risk. 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.

Engineer perception, prediction, and control — at automotive scale.

We build the algorithms and systems that turn vehicle data into real-time decisions. From Level 1 to Level 4 autonomy, we help you deliver safe, intelligent driving experiences.

Autonomy needs more than sensors and horsepower.

Every new ADAS feature adds complexity — more data sources, stricter timing, higher safety expectations. But many systems still rely on black-box logic, non-deterministic behavior, and vendor-proprietary pipelines. That leads to inconsistent performance, testing bottlenecks, and hidden safety gaps.

You need visibility, modularity, and mathematical rigor, especially at higher AV levels.

What we deliver:

• Sensor Fusion & Environmental Modeling. We implement real-time multi-modal fusion of camera, LiDAR, radar, ultrasonic, and GPS/IMU data — with object tracking, SLAM, and occupancy grid generation for dynamic environment perception.
• Neural Network-Based Object Detection. We build and deploy lightweight neural networks (YOLO, MobileNet, EfficientDet) optimized for edge inference on automotive-grade hardware (NVIDIA, NXP, Renesas).
• Path Planning. We implement trajectory generation algorithms, behavioral prediction models, and motion control logic, integrating constraints from safety, legality, and passenger comfort.
• Autonomous Driving Stack Integration. From perception to actuation, we engineer modular AD stacks using ROS2, AUTOWARE, or custom platforms tailored for your compute, vehicle type, and AV level.
• Simulation & Validation. We create virtual test environments (e.g., Carla, LGSVL) for scenario-based validation of ADAS/AD behavior under edge conditions integrated with CI/CD pipelines.
• Functional Safety. We design fail-safe logic paths, redundancy-aware architectures, and health monitoring for safety-critical decisions, ensuring compliance with ISO 26262 and SOTIF.

Autonomous driving systems demand more than accuracy — they require trust. We help you build modular, verifiable software that reacts in milliseconds and improves with every mile.

Update your vehicles at scale with zero chaos.

We build robust, secure, and modular OTA infrastructure that keeps your vehicles up-to-date, safe, and continuously improving — post-production and in real time.

Without a stable OTA layer, every bug becomes a recall.

Software-defined vehicles demand constant iteration. But outdated or custom-patched OTA systems create brittle deployment workflows, failed updates in the field, and compliance risks. Most legacy platforms weren’t built for rollback, differential payloads, or real-time monitoring.

What we deliver:

• Full OTA Stack Implementation. We develop automotive-grade OTA systems with 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, vehicle reachability, install success/failure logs, and rollback triggers, all visualized via cloud dashboard with alerting.
• Cross-Vehicle Campaign Management. We enable campaign creation and segmentation across geographies, models, or ECU types, allowing precise control over software versions and compliance enforcement.
• Backend & Cloud Integration. We integrate OTA infrastructure 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.

Launch connected vehicle platforms — fast, scalable, and production-ready.

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

Disconnected systems stall product delivery — a challenge automotive software development solutions are built to eliminate through seamless integration and modular architecture.

In-car software, mobile apps, and cloud infrastructure often evolve in silos, leading to broken experiences, sync issues, and data fragmentation. Internal IoT platforms can take years to launch and still lack scalability, security, or OTA support. Without modular building blocks, every new feature feels like reinventing the wheel.

What we deliver:

• End-to-End Connected Vehicle Platform. We architect full-stack solutions that connect edge hardware (sensors, ECUs), gateway devices, cloud services, and mobile/web apps, with near real-time responsiveness.
• Embedded Protocols. We enable automotive-grade connectivity using CAN, LIN, MQTT, BLE, and Ethernet, integrating with ECU firmware, sensor clusters, and telematics control units.
• Cloud-Native Infrastructure. We develop cloud backends with device registries, telemetry ingestion, stream processing, storage, and alerting. Platforms: AWS IoT Core, Azure IoT Hub, GCP IoT, or custom.
• Cross-Vehicle Telemetry. From vehicle health to location, from fuel usage to sensor anomalies, we provide unified dashboards across models, geographies, and operators.
• Driver-Facing Interfaces. We create mobile apps, in-vehicle touch 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 PoC or MVP within 8–12 weeks, then scale.

Connected mobility is no longer optional, it’s the baseline. We give you the architecture to launch fast, scale safely, and evolve continuously in the connected vehicle era.

Make every vehicle smarter with every mile.

We design and deploy automotive data and software solutions that transform raw vehicle data into real-time decisions, predictive alerts, and self-optimizing performance.

Static logic can’t keep up with dynamic systems.

Traditional rule-based systems break down under complex edge cases, from unpredictable road conditions to early signs of mechanical failure. Without AI, OEMs lose valuable insights, fleet operators can’t prevent downtime, and autonomy stays stuck at Level 2. Predictive systems require structured data, fast models, and embedded intelligence, all working together.

What we deliver:

• Predictive Maintenance Models. We train machine learning models using real-world sensor data, fault logs, and historical trends to anticipate component failures before they happen, reducing unplanned downtime and service costs.
• Driver Behavior Analytics. We use AI to profile and score driving patterns (aggressiveness, fatigue, distraction), enabling insurers, fleets, or OEMs to tailor services, pricing, or in-vehicle alerts.
• Anomaly Detection Systems. Using unsupervised learning and streaming analytics, we identify subtle anomalies in telemetry, ECU behavior, and network traffic, flagging early-stage faults and security risks.
• Edge ML Deployment. We optimize and deploy AI models on edge devices (NVIDIA Jetson, NXP S32, Renesas R-Car), enabling inference directly inside the vehicle, even without connectivity.
• Sensor Fusion with AI. We apply neural networks for sensor fusion and object recognition (LiDAR, radar, camera), including 2D/3D vision, semantic segmentation, and multi-object tracking.
• Data Engineering for Automotive AI. We build secure data pipelines from in-vehicle sources to cloud platforms, supporting labeling, augmentation, model retraining, and continuous learning at scale.

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

Gain complete operational control from one dashboard.

Our custom software development for automotive industry includes fleet platforms that unify logistics, diagnostics, routing, and resource planning into one system.

Manual coordination no longer scales.

Fleet operators juggle vehicle maintenance, driver behavior, route planning, load capacity, and compliance, often across disconnected systems. When software doesn’t centralize this intelligence, costs balloon, downtime spikes, and decision-making stalls. Efficient fleet operations start with a connected, intelligent platform.

What we deliver:

• Telematics-Driven Fleet Dashboards. We develop dashboards that show real-time location, status, fuel usage, battery health, tire pressure, and fault codes, per vehicle and across the entire fleet.
• Predictive Maintenance Scheduling. Using historical and live data, we forecast service needs before breakdowns, optimizing service intervals, parts availability, and garage usage.
• Capacity & Route Optimization. We integrate traffic, delivery, and payload data to suggest dynamic routing and load balancing, minimizing idle time and improving asset utilization.
• Driver Monitoring & Scoring. We track behaviors like speeding, braking, and idle time, generating safety scores and coaching recommendations for each driver.
• Integration with Existing Systems. We connect your fleet platform with ERP, WMS, TMS, and third-party APIs, creating one source of truth across operations.
• Mobile Access. Drivers and operators interact through automotive HMI software design — mobile apps, touch interfaces, and contextual alerts — all connected to backend systems in real time.

Whether you manage 100 vehicles or 10,000, we give you the tools to run lean, move fast, and prevent chaos before it happens. With the right automotive dealer software solutions, fleet management becomes a strategic advantage, not just an operational cost.