AI-Powered Respiratory Diagnostics

Predict. Prevent. Personalise.

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Patients Evaluated

AI-powered breath testing designed to identify early signs of asthma attacks up to three days before symptoms worsen, non-invasively, and in under a minute.

1941

Patients Evaluated in Clinical Feasibility Studies

13

Breath Parameters

3 Days2

Early Warning

4

Patents/Publications Accepted

Trusted by

About Us

Transforming Asthma Care Through AI-Powered Breath Analysis, Clinical Insight, and More Proactive Respiratory Monitoring

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Breath Predict combines clinical expertise with advanced breath analysis to support earlier insight, better monitoring, and more proactive asthma care – from clinic to home.

Predicting Asthma Attacks Before They Happen

Our AI-powered breath platform analyses breath biomarker patterns associated with asthma deterioration, helping identify potential asthma attacks up to 3 days in advance, non-invasively and in under 1 minute.

Clinically Proven Accuracy

Exhale-Dx® detects asthma with a promising accuracy using AI-powered breath analysis meaning no blood, no lab, no waiting.

3 Days Early Warning

Our deep learning framework predicts asthma attacks in advance, giving patients the time to act before an attack occurs.

Fewer Attacks. Better Lives.

Continuous monitoring from GP clinic to home dramatically reduces asthma attacks through early intervention and personalised care.

How it works

How Exhale-Dx® Works

Four simple steps. Results in under 60 seconds.

1. Breathe

The patient exhales into the Exhale-Dx device. No needles, no blood, no lab required. Completely non-invasive.

2. Capture

The device captures breath biomarkers across 13 distinct parameters from the exhaled sample in real time.

3. Analyse

Our deep learning AI framework processes the breath data, detecting asthma patterns and calculating attack probability.

4. Act

Results delivered in under 1 minute. Clinicians and patients receive actionable insights before an attack occurs.

Delivering Actionable Data to Clinicians and Patients

The platform enables continuous respiratory monitoring from clinic to home, supporting proactive and preventive asthma care.

Clinical evidence

Clinically Validated Results

Proven in published clinical trials across adults and children

93%1

Diagnostic Accuracy

3 Days2

Advance Attack Prediction

55%2

Reduction in Asthma Attacks

13

Breath Parameters Analysed

Regulatory pathway

Building a path toward clinical adoption

Breath Predict is progressing Exhale-Dx through recognised regulatory pathways in the UK, Europe and the United States.

UKCA

UK regulatory pathway for in-vitro diagnostic and medical device conformity.

CE / IVDR

European regulatory pathway under the In Vitro Diagnostic Regulation framework.

FDA

US regulatory pathway for diagnostic device submission and review.

Partner with Breath Predict Today!

Built by clinicians and AI researchers, Breath Predict is advancing the future of respiratory care through AI-powered breath analysis and clinical collaboration.

Ongoing clinical research

Frequently Asked Questions

Still have a question?

Our team is here to answer your questions about our technology, clinical research, and partnerships.

What is Breath Predict?

Breath Predict is a UK respiratory health technology company built by clinicians and AI researchers, developing AI-powered breath testing that helps predict asthma attacks before they happen.

Exhale-Dx is Breath Predict’s non-invasive, AI-powered breath testing platform. It analyses breath biomarker patterns associated with asthma and respiratory deterioration.

The patient simply exhales into the Exhale-Dx device. It captures 13 breath parameters in real time and our deep learning framework analyses them, delivering results in under 1 minute.

We work with NHS organisations, research partners and industry on clinical studies, pilots and pathway integration. Contact our team to discuss collaboration opportunities.

Asthma attacks are often detected too late. Breath Predict aims to identify early signs of deterioration up to 3 days in advance, so patients and clinicians can act before an attack occurs.

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