Service
Embedded Systems & IoT
We engineer the firmware, connected devices, and edge intelligence that bridge physical products to the cloud — from sensor to dashboard.
Overview
Connected products, engineered from the silicon up
Most connected-product initiatives stall at the seams — between the firmware team, the cloud team, and the app team. We work across all three layers, so the device, the protocol, and the platform ship as one system. From battery-constrained sensors to gateway-class edge devices, we design for the constraints your product actually lives with in the field.
What We Offer
Six capabilities, one connected system
Embedded Software Development
C/C++ and Rust application code for microcontrollers and gateway-class devices — memory-tight, testable, and built for long product lifecycles.
Firmware Engineering
Bootloaders, RTOS integration, secure boot, and OTA update pipelines that keep fleets patchable long after ship date.
IoT Product Engineering
End-to-end connected product delivery — device, cloud ingestion, and companion app — architected as one system, not three.
Edge Computing Solutions
On-device inference, local aggregation, and store-and-forward logic that keep products responsive when the network isn't.
Hardware-Software Integration
We partner with your electrical and mechanical teams through bring-up, board revs, and manufacturing test firmware.
Device Connectivity & Protocol Engineering
MQTT, BLE, Zigbee, LoRaWAN, and cellular — chosen and tuned for your range, power, and throughput budget.
Methodology
How we deliver, in four stages
- 01
Product & Constraints Review
We map power, connectivity, cost, and certification constraints before choosing a chipset or protocol.
- 02
Architecture & Prototype
We build a working device + cloud + app prototype on representative hardware, not just a slide deck.
- 03
Firmware & Integration
Production firmware, secure OTA, manufacturing test hooks, and cloud ingestion delivered in parallel tracks.
- 04
Field Rollout & Telemetry
We instrument your fleet from day one and tune firmware and edge logic against real deployment data.
Related Blueprint
Where embedded meets the plant floor
Sensor networks for predictive maintenance
Our reference blueprint pairs wireless vibration and thermal sensors with edge aggregation gateways, feeding a failure-prediction model that moves reactive maintenance to condition-based scheduling.
Platforms and tools we build with
FAQ
Questions we get from product teams
Straight answers on scope, protocols, and what happens after the first units ship.