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NexivoLabs is an electronics engineering studio that designs and builds embedded products — from PCB to firmware to finished device. Explore our work, preorder what's coming, or commission your own.
What we do
Full-stack hardware engineering — every discipline needed to take an electronic product from idea to reality.
Multi-layer and RF board design in Altium and EasyEDA — from schematic capture to fab-ready manufacturing files.
Production firmware for STM32, ESP32, and AVR platforms — drivers, RTOS, power management, and OTA updates.
Competition-proven robotics: navigation, control systems, and mechatronics from BattleBots to maze solvers.
Connected devices with Wi-Fi, BLE, and GSM — MQTT pipelines, cloud dashboards, and remote monitoring.
Sensor-driven health hardware: biosignal acquisition, wearable monitors, and assistive device design.
Supercapacitor systems, power conversion, and energy monitoring designed for efficiency and reliability.
Featured
Our latest builds and flagship devices.
Track record
A decade of building award-winning electronics — the experience every NexivoLabs product is built on.

Founder · Embedded Systems Engineer
Embedded systems engineer with a B.Sc. Eng (Hons) in Electronics and Telecommunication Engineering from the University of Moratuwa, and around three years of hands-on experience building embedded and electronic systems — from STM32 firmware and Altium PCB design to complete product prototypes for robotics, IoT, and biomedical applications.
🏆 Champion — SLIIT RoboFest 2023
A maze-solving robot that navigates a 16×16 maze and computes the shortest path to its destination.
🏆 Finalist — Brainstorm 2023
A wireless stethoscope for cardiac sound acquisition and processing, designed as a research-driven medical product.
🏆 Winner — IEEE INSL · SEA Finalist, Microsoft Imagine Cup
A smart IoT system that measures methane emissions in landfills and streams the data to the cloud for analysis and control.
A doppler-radar device that detects and classifies drones in dense urban environments using machine learning.
A head-worn biomedical device that lets paralyzed patients control a computer or smartphone with their eye movements.
A client-commissioned device that captures and records fetal heart rate and flags anomalies.
Wearable health monitors measuring heart rate, SpO₂, and body temperature with integrated biomedical sensors.
A wearable audio device that captures and plays audio through mic and speaker with A2DP and hands-free modes.
We take on custom electronics — one-off prototypes, smart devices, sensor networks, robotics. Describe it, and we'll quote it.
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