Entrans builds firmware, RTOS and Embedded Linux software for connected devices, plus the cloud layer they report to. Senior engineers lead every engagement, so protocol upgrades and certification stop being the reason your launch slips.
Embedded software development services cover the design, coding, testing and upkeep of software that runs on dedicated hardware. That hardware includes microcontrollers, sensors, controllers and gateways. The work spans firmware, device drivers, real-time operating systems, Embedded Linux, communication protocols, secure updates and the link from each device to the cloud.
✓ Your product is the hardware. If you sell a device, its firmware decides battery life, boot time and what happens when a sensor fails. Generic software can’t tune those trade-offs for your board.
✓ You ship automotive or EV hardware that has to pass certification. Automotive embedded software development runs under ISO 26262, ISO/SAE 21434 and protocol standards such as OCPP. Build the certification evidence from the first sprint. Adding it later costs months.
✓ Your plant equipment speaks protocols the cloud doesn’t. Embedded software development for industrial systems connects Modbus, CAN and OPC UA equipment to modern platforms. Those controllers often stay in service for a decade or more, so the code has to be maintainable.
✓ Timing, power or safety can’t depend on a general-purpose OS. Motor control, medical dosing and braking need a response measured in microseconds, every time. That is the job of an RTOS or bare-metal code.
> The device is really a tablet or a PC. If your product runs on a stock Android tablet or an industrial PC, build an app instead of custom firmware. You’ll ship sooner and hire from a far bigger talent pool.
> Configurable hardware already does the job. A certified PLC programmed in IEC 61131-3, or an industrial gateway you configure, often beats custom firmware on cost and certification time. Write custom code only when the off-the-shelf box can’t meet the spec.
> Your problem is the data, not the device. If sensors already report reliably and the gap is dashboards, prediction or reporting, put the budget into data engineering and advanced analytics. Touching firmware that works adds risk with no payoff.
Firmware, board support packages and device drivers written for your board, not lifted from a reference design. We choose bare metal, an RTOS or Embedded Linux from your timing, power and unit-cost limits. Then we code to MISRA rules from day one.
Old firmware rarely fails all at once. The protocol version expires, the RTOS loses support, or nobody can rebuild the toolchain. We migrate in stages, the same method behind our application modernization services, so devices in the field keep working.
Devices that report reliably and take updates without a truck roll. We build provisioning, the MQTT link and signed over-the-air updates with rollback. Secure boot and device identity follow our cybersecurity and compliance practice.
Most device projects stall at the interfaces. We build and test the protocols your hardware must speak. On the plant floor, that means CAN FD and Modbus. In EV charging, it means Bluetooth LE and OCPP. Then we connect them to your backend.
Testing is where software development for embedded systems differs most from web work. Our DevOps and quality engineering teams run host unit tests, simulation in CI and hardware-in-the-loop rigs. After launch, they keep shipping CVE fixes and SBOMs.
Models that run on the device instead of a data center. We size and quantize each model for the memory you actually have. Then we build the inference pipeline for anomaly detection, machine vision or predictive maintenance at the edge.
12+ Months
Reduced time-to-certification by 12+ months compared to a typical internal OCPP 2.0.1 migration.
For a leading North American EV charging network provider, we wrote new charger firmware, rebuilt the backend protocol layer and ran pre-certification tests.
100%
Ensured 100% OCPP charger uptime and reliability, regardless of internet connectivity issues.
For a leading EV charging hardware supplier, we built Bluetooth authorization through a mobile app and store-and-forward transactions, so chargers work offline.
35%
Predictive maintenance capabilities decreased equipment downtime by 35%.
We joined machine telemetry with CRM and SAP data in an Azure Synapse data lake, the data side of connected equipment rather than firmware work.
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Choose an RTOS for tight timing and low power, and Embedded Linux for networking, displays and complex apps on a bigger processor. Zephyr or FreeRTOS fits in kilobytes of RAM and boots in milliseconds. Linux built with the Yocto Project needs far more memory and boots slower. In return, you get mature drivers, containers and a huge package ecosystem. Many products use both: Linux runs the application while a microcontroller handles real-time control.
We test embedded software in layers, starting on a host machine long before production boards arrive. Unit tests run on a laptop or CI server with Unity and CMock. Next, simulators like Renode or QEMU run the real firmware binary against emulated peripherals. Once boards exist, hardware-in-the-loop rigs feed real signals to the device. Those rigs catch the timing and electrical faults that simulation misses.
The standards depend on your industry and market, and the most common are ISO 26262, IEC 62304, IEC 61508 and the EU Cyber Resilience Act. ISO 26262 covers automotive functional safety. IEC 62304 covers medical device software, and IEC 61508 covers industrial safety systems. For cybersecurity, look at ISO/SAE 21434 in automotive and IEC 62443 in industrial settings. The Cyber Resilience Act covers products with digital elements sold in the EU. Reporting duties under the act have applied since September 11, 2026, and the rest applies from December 11, 2027. Name your standards before the first sprint, because each one shapes requirements, testing and evidence.
Yes, firmware can usually move to a new microcontroller, and porting often costs less than a rewrite. The deciding factor is whether the code keeps hardware access apart from application logic. Teams port when a chip reaches end of life, supply dries up or a newer part cuts cost. We start with an audit of vendor HAL calls, interrupt handling and memory layout. Where that coupling runs deep, we add a hardware abstraction layer first, so this port and the next stay contained.
AI tools speed up parts of software development in embedded systems, mainly tests, static analysis triage, documentation and boilerplate driver code. They are far weaker at timing, memory limits and hardware behavior. That is where most embedded bugs live. Treat AI output like code from a new hire. Review it, run MISRA and static analysis checks, and test it on real hardware. AI won’t replace embedded engineers soon, but it does change where their hours go.
Tell us the shape of the problem. A senior engineer reads it and replies. You won’t get a templated capability deck.