//Embedded Systems & IoT
Firmware, edge intelligence, and connected devices.
Firmware, edge ML, and cloud bridges for smart agriculture, industrial IoT, logistics trackers, and smart-home products.
01What's broken without us
Connected hardware is unforgiving: constrained memory, flaky networks, battery limits, and field updates that can brick a fleet if done wrong.
02Our approach — the Forge Method, applied
- 01Define power, connectivity, and update constraints first.
- 02Prototype on real hardware with sensor calibration early.
- 03Forge firmware with OTA update infrastructure.
- 04Harden for low power and reliability in the field.
//Capabilities
- Firmware development (C, Rust, MicroPython)
- RTOS selection & board bring-up
- Sensor integration & calibration
- Edge ML (TensorFlow Lite)
- MQTT / CoAP communication & cloud bridge
- OTA update infrastructure
- Low-power design for battery devices
- Industrial protocol bridging
//Tech stack
- C
- Rust
- FreeRTOS
- MQTT
- TensorFlow Lite
- Zephyr
//Outcomes
What you can expect
Low-power
long battery life
OTA
safe field updates
Edge
on-device ML
//FAQ
Questions, answered straight
Yes — edge ML with TensorFlow Lite and similar, where on-device inference beats round-tripping to the cloud.
//Explore further
- pillarSpecialized Engineering Capabilities
- serviceDesktop Application Development
- serviceCloud-Native Backend & MLOps
- serviceAR / VR & Spatial Computing
- solutionSpecialized Engineering for Government & GovTech
- solutionSpecialized Engineering for Real Estate
- solutionSpecialized Engineering for E-commerce
- insightWorkflow automation reclaiming 30 hours a week for a brokerage
//Next stepLock your build window.