Bare-metal and RTOS firmware, wireless connectivity, secure OTA pipelines and power tuning, matched to what your product actually needs rather than a generic template.
Code that runs for years on a coin cell, or handles millisecond control loops — matched to what your product actually needs.
Pulled from our case-study library — same AI/human split shown in full, industry context included.
A wearable analyzes motion data locally to identify movement patterns associated with potential falls, without continuously transmitting raw sensor data to the cloud.
A connected monitoring device tracks temperature and environmental conditions in transit and storage, alerting when conditions move outside defined limits.
A connected home-protection sensor fuses multiple environmental signals to detect water leaks, freezing conditions and other potentially damaging events.
FreeRTOS, Zephyr and bare-metal on the RTOS side; BLE, Wi-Fi, LoRa, Zigbee and cellular on connectivity, chosen based on your power and range constraints, not by default.
Signed, rollback-capable OTA pipelines with staged rollout — the update path is designed alongside the firmware, not bolted on after v1 ships.
AI scaffolds drivers and protocol-stack boilerplate; a senior firmware engineer owns real-time timing guarantees and every power-critical code path.
Yes — power profiling and firmware-level tuning is a common standalone engagement when hardware is already locked.
Bare-metal to RTOS, matched to your power and timing budget.
The interface your customer actually touches, paired to the fleet underneath.
Fleet-scale telemetry and APIs behind the screen.
Every service above this one uses this layer somewhere.
