We're building olfaction AI to detect disease signals at scale. Our current product, BreathEasy, is a non-invasive, breath-based health monitoring tool that generates a VOC risk score for clinicians. Patients breathe into a mask for 10 minutes, which is shipped to our labs and analysed in a controlled setting using our canine-AI system. BreathEasy’s MCED application is currently being validated in large-scale trials.

No, we don't bring dogs directly to people. Our system uses breath samples collected in face masks, which are then presented to the trained dogs in a controlled laboratory setting. Once sealed in a bag, masks can retain potency for up to 3 months, and potentially even longer. Samples can be transported hundreds or thousands of kilometers away and sniffed by our team of highly trained dogs in a sensor-rich environment.

Actually, 40+ double-blind trials published in peer-reviewed journals have demonstrated that dogs can detect various diseases, including different types of cancer, with high accuracy. This ability is due to their extraordinary sense of smell, which can detect subtle changes in the body's volatile organic compounds (VOCs).

Our Phase-2 data published in the Journal of Clinical Oncology, the top cancer journal, showcases 91% accuracy in detecting cancer-associated VOC breath signals across 7 cancer groups, with accuracy stable across types as well as in early stages, when detecting early matters the most.

The dogs are detecting changes in volatile organic compounds (VOCs) that are produced by the body when certain diseases, like cancer, are present. These VOCs create a unique "odor signature" or volatilome that trained dogs can identify, just like they can be trained to detect bombs and drugs.