Electronic Olfactory Sensors

We build highly selective polymer sensors to detect gas VOCs in the ppb range, in real-time. We combine custom hardware with Machine Learning to characterize smells

We believe in a future where smell is digitized

We believe in a future where smell is digitized

An illustration from Carlos Gomes Cabral
An illustration from Carlos Gomes Cabral
An illustration from Carlos Gomes Cabral

01.

Ultra low detection limit

Our sensors detect VOCs in the parts per billion range for trained compounds - rivalling canine olfaction in many cases. Detection limits, while low, vary per compound

02.

Low false positive rate

03.

Easy microcontroller integration

01.

Ultra low detection limit

Our sensors detect VOCs in the parts per billion range for trained compounds - rivalling canine olfaction in many cases. Detection limits, while low, vary per compound

02.

Low false positive rate

03.

Easy microcontroller integration

01.

Ultra low detection limit

Our sensors detect VOCs in the parts per billion range for trained compounds - rivalling canine olfaction in many cases. Detection limits, while low, vary per compound

02.

Low false positive rate

03.

Easy microcontroller integration

Food & Beverage

Detect spoilage, contaminants, and flavor consistency in food and beverage production. For better and cheaper quality control during the food production process.

Fragrances

Capture and replicate complex scent profiles with greater accuracy. Brands can create personalized fragrances more efficiently and with greater precision.

Health

Non-invasive solution for screening and monitoring biomarkers in urine, sweat and other bodily fluids. Faster diagnostic success rates for later-stage, established disease screening.

Product

Product

Our first product combines powerful machine learning algorithms with gas sensor arrays, enabling us detect and characterize hundreds of different odors in real time. We do model training and inference via a single hosted API. This innovative approach allows for sample collection and model fine-tuning at break-neck speed.

Our Team

With a background in Electronic Engineering from the University of Manchester, he brings over 10 years of experience in scaling innovative SaaS businesses, having honed his skills at industry leading companies. A second-time founder, he is an expert in the Python AI ecosystem, with a deep understanding of web servers, cloud technologies and machine learning. His academic studies focused on computer vision algorithms in C++, combining his expertise in AI with strong technical foundations.

With a PhD in Chemistry from the University of Leicester, he has spent the past 10 years studying polymers and their use in sensing applications. His research has contributed to over 35 publications in prestigious journals on materials and synthetic chemistry. Throughout his career, he has focused on advancing the understanding and development of polymer-based sensors, making significant contributions to both the scientific community and practical applications in the field.

Supported By

Supported By

Join us as we digitize smell

Join us as we digitize smell

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Join us as we digitize smell

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