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  • Transformative Material Characterisation Platform

    democratising interdisciplinary research


  • Biological & Non-Biological Materials


    Easy-to-use, Low-cost & Rapid


    Accurate, Consistent & Universal

About us

eProfiler Solutions Ltd was founded in 2020 by Professor Dr. Vengadesh Periasamy, a pioneer in the field of bioelectronics. With over 15 years of dedicated research at the University of Malaya, Dr. Periasamy explored the fascinating intersection of biology and electronics, particularly the semiconductive properties of biomolecules. His groundbreaking work has led to over 20 patents, laying the foundation for a new era of material characterisation.

The creation of eProfiler Solutions Ltd marks the transformation of this cutting-edge science into practical, impactful tools. Our mission is to revolutionise material analysis in the biotech industry with precise, standardised, and rapid testing solutions. Beyond biotech, our vision extends to broader applications, including medical diagnostics, environmental testing, and more—bringing innovation to fields where accuracy and affordability are paramount.


Our Impact

Reproducibility remains a major challenge in scientific research, particularly in the life sciences. Repeating an experiment does not always yield identical results, posing a significant obstacle in fields like biomedical research and advanced materials research. 

Embedding standardisation into every aspect of the platform—from sensors and devices to software—ensuring that results remain reliable and reproducible across different labs and experiments.


Standardised Sensors for Consistent Measurements

PCB-based sensors, the core of reproducibility, manufactured with high precision and uniformity.


Optimised Devices for High Sensitivity and Accuracy

Affordable measurement devices specifically designed to detect weak signals.


Software-Driven Standardisation and Automated Analysis

Highly standardised measurement parameters; Cloud-based fully-automated analysis platform; Built-in statistical validation, ensuring that results are reproducible and statistically robust.