Software Development

AI-Driven Software & Analytics Solutions

Embedded intelligence, predictive analytics, cloud-native platforms, and real-time data processing — built for intelligent power systems and industrial IoT.

✉ Start Your Project

⚙ Embedded Firmware

🔌 FPGA / RTL

📈 AI & Analytics

☁ Cloud Native

📡 IoT Platforms

control_loop.c

1void pid_update(float ref) {

2 // Real-time control loop

3 error = ref - adc_read();

4 integral += error * dt;

5 output = Kp*error

6 + Ki*integral

7 + Kd*derivative;

8 pwm_set(output);

11void mqtt_publish(char* topic,

12 float val) {

13 "status": "OK",

14 "output": val

What We Do

Software Engineering Expertise

From bare-metal embedded C to cloud-native AI platforms — end-to-end software capability for intelligent power and industrial systems.

⚙

Embedded Intelligence

Embedded & Edge Software

Real-time firmware, RTOS integration, protocol stacks, secure bootloaders, OTA systems, and hardware abstraction layers for intelligent edge devices.

Embedded C / C++ — bare-metal & RTOS
FreeRTOS task management & scheduling
SPI / I2C / CAN / UART / RS485 stacks
Secure bootloader & OTA firmware update
Hardware abstraction & driver layers

📈

AI & Data Systems

Predictive Analytics & AI Platforms

AI-driven failure prediction, energy optimisation, machine learning pipelines, and real-time analytics engines for connected industrial products.

Predictive maintenance models
Edge AI deployment on MCU / FPGA
Data modelling & visualisation pipelines
Performance optimisation algorithms
Anomaly detection & alerting systems

☁

Cloud Native

Cloud & Scalable Platform Engineering

Cloud-native backend systems, API development, microservices architecture, and secure IoT infrastructure deployment for large-scale deployments.

AWS IoT / Azure IoT infrastructure
Microservices & REST API development
CI/CD pipelines & DevOps automation
Scalable real-time data pipelines
SQL / NoSQL data architecture

🔌

System Integration

Hardware-Software Co-Design

Seamless integration between power electronics hardware, embedded firmware, and cloud ecosystems — one team building the full intelligent product stack.

Embedded-to-cloud end-to-end integration
IoT device management & provisioning
Secure TLS communication layers
Digital twin implementation
FPGA RTL — Verilog / VHDL

Data Flow

Integrated Software Architecture

⚙

Device Firmware

Sensor sampling & control

🔌

Edge Processing

Local analytics & filtering

☁

Cloud Platform

Ingestion & storage

📈

Analytics Engine

AI / ML processing

👥

User Dashboard

Insights & alerts

Tools & Technologies

Technology Stack

Production-grade toolchains and frameworks across the full embedded-to-cloud development stack.

⚙

Embedded & Firmware

Embedded C / C++
RTOS / FreeRTOS
STM32 / ARM Cortex
Secure bootloaders
HAL / Driver layers

🔌

FPGA & Digital Systems

VHDL / Verilog
Vivado / Quartus
DSP & parallel processing
High-speed interfaces
Hardware acceleration

📈

AI & Analytics

Python / TensorFlow / PyTorch
Edge AI deployment
Predictive maintenance models
Data visualisation
Time-series analytics

☁

Cloud & Backend

AWS / Azure IoT
Node.js / REST APIs
Microservices architecture
SQL / NoSQL databases
CI/CD pipelines

Our Process

Delivery Framework

A structured, four-phase delivery model from requirements to long-term lifecycle support.

Discovery & Architecture

Requirement analysis, system feasibility, architecture definition, risk identification, and technology roadmap alignment with your product goals.

Technical consultation & requirements capture
System architecture & interface design
Technology stack finalisation
Scalability & cost planning

Engineering & Development

Structured development of firmware, software, and cloud platforms using modular, scalable, and secure engineering practices with regular sprint reviews.

Agile sprint execution with milestones
Embedded + cloud co-development
Code review & quality assurance
CI/CD integration & test automation

Validation & Optimisation

System-level testing, performance benchmarking, reliability validation, and optimisation for production-grade readiness and field deployment.

Functional & regression testing
Performance profiling & benchmarking
Security validation & penetration testing
Field simulation & stress testing

Deployment & Lifecycle Support

Cloud deployment, firmware release management, monitoring systems, and long-term engineering support for post-launch evolution.

Cloud infrastructure setup & scaling
OTA firmware release management
Analytics monitoring & dashboards
Continuous improvement & feature development