Thanks for sharing these insights and real-life examples, they are very interesting. Yes, I believe there are situations where an olfactory sensor could detect a problem earlier than conventional sensors. For example, the smell of burnt oil might appear before an oil level sensor detects a drop or before temperature sensors trigger an alarm.

The key question, however, is where the biggest value lies - either in cost prevention or hazard reduction - so that the benefit-to-cost ratio justifies the investment in a technology that is not traditionally used for this purpose.

What you mentioned is particularly important: identifying industries where people already rely heavily on the perception of odor. Not just selective measurement of a specific chemical compound, but the overall “human” impression of smell. In many environments an experienced worker with 20 years in the industry can simply smell that something is wrong.

If we can replicate that capability with Sniphi - but in a scalable, continuous way - it could make the value proposition much easier to demonstrate to customers. Thanks for sharing.