Embedded Engineering 

Architecting and developing resource-optimized, low-latency, secure embedded software for intelligent devices across OS(RTOS/Linux) or bare metal platforms with custom hardware integration.

Services

Embedded OS, BSP & Drivers 

Engineering production-grade Linux, Android, and RTOS (FreeRTOS, Zephyr, QNX etc.) based products. Expertise includes BSP bring-up, kernel and HAL customization, device drivers, bootloaders, and peripheral enablement. Delivering secure and performant firmware with hardware-aware optimizations on custom boards with MCUs, MPUs, and complex SoCs. It also covers integration with physical sensors such as camera, radar, LiDAR, and IMU.

Middleware, SDKs & Platform Abstractions 

Development and/or customization of modular middleware, SDKs, firmware libraries, and platform abstraction layers. This includes connectivity stacks, sensor frameworks, communication buses, control interfaces, and hardware-accelerated modules. Expertise spans multimedia frameworks such as GStreamer, ALSA, RTSP, and V4L2. It also includes communication protocols like Bluetooth, WiFiEtherCAT, PCIe, and CAN. Security expertise covers PKI, mbedTLS, OP-TEE, and secure bootloaders. Cloud integration includes MQTT, CoAP, and REST APIs.

We deliver end-to-end embedded engineering across OS bring-up, board support packages, drivers, middleware, applications, and system-level optimization. Our capabilities span hardware enablement, connectivity stacks, runtime components, performance tuning, security hardening, and platform abstractions. This ensures reliable, resource-efficient, and production-grade software for intelligent devices. 

Core

Capabilities.

Embedded Applications & Runtime Components 

Building feature-rich embedded applications with portable frameworks, device logic, UI flows, protocol handlers, OTA workflows, and runtime components. This ensures responsive and deterministic behaviour for intelligent devices. It supports tightly integrated platform capabilities and robust execution under diverse operating conditions. Application development spans IoT use cases such as wearables and smart home. It also includes industrial IoT like predictive maintenance and machine vision, as well as physical AI applications such as robotics and drones.

System Engineering & Optimization 

Designing end-to-end embedded system architectures with performance profiling, memory and power tuning, IPC frameworks, reliability engineering, and real-time constraints. This includes secure boot, encryption, and TEE or TPM integration. It also involves system hardening. This ensures resilient platforms that meet strict timing, safety, and quality requirements. 

Solutions

Smart IoT Device Platform 

Embedded platform for IoT devices including wearables, smart home products, connected appliances, and IoT gateways. It supports sensor integration and low power operation. It enables secure device onboarding, OTA firmware updates, and device management. It also includes diagnostics and reliable cloud connectivity for scalable enterprise deployments.

Industrial Edge & Machine Vision Controller 

Embedded software stacks for robots, drones, and autonomous systems leveraging ROS 2 middleware. This integrates real-time motor control and deterministic sensor synchronization. It supports heterogeneous compute with perception pipelines using camera, radar, LiDAR, and IMU sensors. This enables low-latency perception, precise motion control, and reliable operation in dynamic environments.

Robotics Platform Software & Control Stack 

Embedded software stacks for robots, drones, and autonomous systems leveraging ROS 2 middleware. This integrates real-time motor control and deterministic sensor synchronization. It supports heterogeneous compute with perception pipelines using camera, radar, LiDAR, and IMU sensors. This enables low-latency perception, precise motion control, and reliable operation in dynamic environments.

Intelligent Cameras 

End-to-end software stack for intelligent cameras combining ISP pipelines, camera drivers, edge AI accelerators, hardware video encoders, secure boot, and network streaming. It supports real-time video analytics and secure video delivery. It also enables scalable deployment for surveillance, safety monitoring, and physical AI applications.

Accelerators 

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VeRNOX 

VERNOX is an end-to-end toolkit for building cobots, robots and humanoids, providing developers with integrated perception, navigation and control modules to accelerate autonomy development. It offers environment mapping, 3D understanding and intelligent decision making, enabling rapid creation of reliable, real world capable robotic systems. 

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