
Medical / Healthcare
Many diseases emit volatile biomarkers. NEUVALAB uses continuous VOC sensing and AI pattern recognition to help detect abnormal signals early.
NEUVALAB, based in Austin, Texas, is dedicated to delivering genuine, forward-thinking solutions for cloud and edge smell computing, air-quality intelligence, and continuous environmental monitoring. We are building a new generation of intelligent sensing systems that transform invisible indoor air signals into meaningful insights. By combining advanced VOC and gas sensing, embedded edge processing, cloud connectivity, and AI-driven analytics, NEUVALAB enables spaces to be monitored continuously for odor patterns, harmful gases, abnormal air conditions, and early indicators that may relate to health, comfort, safety, or operational risk.
Our technology is designed for environments where air tells a story: homes, bathrooms, bedrooms, healthcare facilities, elderly-care spaces, workplaces, factories, laboratories, hospitality spaces, and industrial sites. NEUVALAB devices capture environmental signals at the edge, transmit them securely to the cloud, and allow our AI backend to analyze trends, detect anomalies, and identify complex patterns that traditional sensors alone cannot interpret.
At the heart of NEUVALAB is a high-level AI architecture powered by deep learning, time-series analysis, advanced data servers, and cloud-based AI networks. This enables continuous improvement as more environmental data is collected, processed, and understood. The result is a smarter monitoring platform capable of supporting medical, consumer, and industrial applications with scalable intelligence.
We believe the future of smell computing will go far beyond simple detection. It will become an intelligent layer of connected environments, where cloud AI, edge devices, and advanced sensor networks work together to identify risks, improve wellbeing, optimize operations, and provide actionable insights in real time. NEUVALAB is developing this future: intelligent, connected, continuous, and deeply data-driven.

NEUVALAB is an AI cloud platform for odor intelligence and artificial olfaction targeting VOC analysis, and early disease-related signal detection.
We combine smart edge sensing devices, continuous air monitoring, edge processing, and cloud-based deep learning to detect abnormal odor, gas, and VOC patterns in real time.

Many diseases emit volatile biomarkers. NEUVALAB uses continuous VOC sensing and AI pattern recognition to help detect abnormal signals early.

Machines emit VOCs and gas signatures that can reveal overheating, leaks, contamination, wear or process instability before failure.

Consumers want safer, cleaner and healthier indoor environments. Smart odor intelligence supports better living spaces.
Smell sensor time series are transmitted to the NEUVALAB cloud where AI analysis identifies odor signatures and abnormal patterns.


Neuvalab leverages advanced AI and sensor technology to analyze bathroom-derived odor signatures, transforming everyday environments into powerful, non-invasive health monitoring points.
By capturing and processing volatile organic compounds (VOCs), the system securely transmits data to the cloud, where intelligent models identify patterns associated with a wide range of conditions including metabolic, inflammatory, intestinal, and genetic disorders.
Prostate cancer, one of the most common cancers in men, is often associated with subtle biochemical changes in the body. These changes can alter the composition of VOCs released through urine.
Research has shown that specific VOC patterns—linked to tumor metabolism and oxidative stress—can be detected through odor analysis. Advanced sensor arrays (e-noses), combined with AI, can recognize these signatures with increasing accuracy, enabling:
Neuvalab’s platform aims to bring this capability into daily life, offering a discreet, scalable, and preventive healthcare solution.

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Pierre TOUMAChief Executive Officer
Joe HAGEChief Operating Officer
Abir HOSRIVP Artificial Intelligence
Imad MAALOUFVP Hardware Design
Elias BACHAALANYVP Technology