AI & Software Integration
Embedded firmware, edge AI deployment, and IoT connectivity — engineered for performance, reliability, and seamless integration with your hardware.
Common Challenges in AI & Software Integration
Bridging the gap between hardware and intelligent software is one of the hardest problems in product development. Resource constraints, real-time requirements, and the complexity of deploying AI at the edge catch many teams off guard.
Unvalidated Product Ideas
Ideas move forward without technical or market feasibility analysis, resulting in impractical designs and wasted investment.
Design Without Manufacturing Alignment
Products designed without considering assembly, materials, and tooling constraints often face expensive redesigns later.
Weak Industrial Design
Poor ergonomics, material selection, or usability planning can reduce product appeal and market acceptance.
Our Approach
From idea to production — delivered through a clear, structured process.
Requirements & Architecture
We define software requirements, select the right stack, and design a scalable firmware/software architecture.
Embedded Firmware Development
Our engineers write optimised, hardware-aware firmware for your target microcontroller or SoC.
AI/ML Model Integration
We deploy edge-optimised AI models, handling quantisation, inference runtime, and hardware acceleration.
Integration Testing & Handoff
End-to-end integration testing with hardware ensures software and silicon work in perfect harmony.
Technologies & Tools
From early feasibility to production-ready design, we ensure every concept is technically validated and manufacturing-aligned.
Capabilities
From early feasibility to production-ready design, we ensure every concept is technically validated and manufacturing-aligned.
Edge AI Deployment
We optimise and deploy machine learning models onto microcontrollers and SoCs using TensorFlow Lite, ONNX, and vendor SDKs.
Embedded Firmware
Bare-metal and RTOS-based firmware for ARM Cortex, RISC-V, and other architectures, written for reliability and performance.
BSP & Driver Development
Board support packages, peripheral drivers, and HAL layers that bridge your hardware and application software seamlessly.
IoT Connectivity
MQTT, CoAP, and cloud SDK integration for AWS IoT, Azure IoT Hub, and Google Cloud, enabling secure device-to-cloud communication.
Data Pipeline & Analytics
Edge data collection, pre-processing, and cloud pipeline design to turn raw sensor data into actionable insights.
CI/CD for Firmware
Automated build, static analysis, and hardware-in-the-loop test pipelines to maintain code quality throughout development.
Case Studies
Proven Execution Across Complex Hardware Projects.
Designed and scaled a rugged IoT gateway with optimized BOM and remote update capability.
Delivered low-power PCB and firmware architecture for continuous monitoring.
Integrated AI accelerator with optimized power and heat management.
Designed and scaled a rugged defence module with optimized BOM and remote update capability.
Designed and scaled a rugged IoT gateway with optimized BOM and remote update capability.
Delivered low-power PCB and firmware architecture for continuous monitoring.
Integrated AI accelerator with optimized power and heat management.
Designed and scaled a rugged defence module with optimized BOM and remote update capability.
Yes. We specialise in edge AI deployment, using TensorFlow Lite for Microcontrollers, ONNX Runtime, and vendor-specific NPU SDKs to run inference on devices with kilobytes of RAM.