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Embedded Intelligence — Real-World Systems

Connected Hardware.
Intelligent at the Edge.

We design and deploy embedded systems from bare-metal firmware to cloud-connected IoT platforms — building edge AI devices, industrial automation solutions, and autonomous systems that operate reliably in production environments.

9+IoT & Embedded Products
7+Communication Protocols
5+Controller Platforms
EdgeAI Deployment Ready
TinyML ESP32 STM32 Arduino Raspberry Pi MQTT LoRa GSM LiDAR LSTM Pymodbus AWS IoT Azure IoT Hub Modbus RTU Edge Inference TinyML ESP32 STM32 Arduino Raspberry Pi MQTT LoRa GSM LiDAR LSTM Pymodbus AWS IoT Azure IoT Hub Modbus RTU Edge Inference
What We Do

End-to-End IoT Capability

From sensor hardware to cloud dashboards — we cover the full embedded systems stack with expertise in edge AI, industrial protocols, and autonomous control systems.

TinyML & Edge AI

Deploy custom-trained neural networks directly on resource-constrained microcontrollers. On-device inference eliminates cloud dependency for latency-critical and offline applications.

TensorFlow Lite Edge Impulse LSTM CNN

Industrial IoT & PLC

Connect shopfloor machinery to cloud dashboards using Modbus, Pymodbus, and MQTT. We build OEE systems, digital twins, and predictive maintenance platforms that integrate with existing infrastructure.

Modbus RTU Pymodbus MQTT LoRa

Autonomous Systems

Build vehicles, drones, and mobile robots with LiDAR-based collision avoidance, GPS telemetry, and mission planning software. We develop both the hardware firmware and the ground control interfaces.

LiDAR GPS Drone FW ROS

Cloud IoT Platforms

Design full-stack IoT pipelines from firmware to cloud storage and analytics. Supports GSM, WiFi, and LoRa connectivity with MQTT-based telemetry, real-time dashboards, and OTA firmware updates.

AWS IoT Azure IoT GSM OTA Update
9+
Embedded Products Deployed
5+
MCU Platforms Supported
7+
IoT Protocols Integrated
100%
Production-Ready Delivery
Portfolio

IoT & Embedded Product Showcase

From TinyML edge sensors to industrial MES platforms — these are systems built from hardware up, tested in production environments.

How We Work

From Brief to Production Deployment

Our embedded systems delivery process is structured for reliability — from hardware selection through firmware, integration testing, and production handoff.

01

Requirements & Architecture

Define connectivity, power, sensing, and processing requirements. Select the right MCU, protocol, and cloud stack for the use case.

02

Hardware Design & Prototyping

Schematic design, PCB layout, and BOM selection. First prototypes are validated against electrical and functional specifications.

03

Firmware Development

Bare-metal or RTOS firmware with driver integration, protocol stacks, power management, and OTA capability where required.

04

Cloud & Dashboard Integration

Connect device telemetry to cloud platforms. Build dashboards, APIs, and alert systems for monitoring and control.

05

Testing & Deployment

End-to-end system testing under real-world conditions. Production documentation, support handover, and field deployment assistance.

Start Building

Ready to Build Your IoT System?

Tell us about your hardware, connectivity, and intelligence requirements. We will assess your project and deliver a technical proposal within 48 hours.

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