Moodify

Moodify works on the part of olfaction nobody puts on a bottle: malodour. Founded in Israel in 2017 and based in Kfar Saba, it built a scent-AI platform over a database of roughly 1,500 compounds, and points it at questions like which molecules will neutralise a smell rather than merely bury it under something floral.

That sounds a long way from perfumery until you notice who buys it. Moodify has worked with Procter and Gamble on a fragrance-design tool, and its malodour work runs into automotive with names including Toyota, Audi and Valeo. Car cabins are a genuinely hard scent problem - a sealed box of plastics, adhesives and textiles, heated by the sun, that has to smell like nothing in particular for a decade. Solving that is closer to perfumery than it looks, and the same modelling helps with reformulation when a material is restricted or a supply chain changes.

It earns a place here as the third distinct approach in scent tech. Osmo predicts perception from structure. Aryballe measures what is present with hardware. Moodify targets a specific commercial outcome - counteract this smell, redesign this formula - and sells the result to manufacturers.

This is business to business, with nothing for a consumer to buy, and it is a smaller company than its partner list suggests: roughly forty people, with its last publicly disclosed funding round some years back. Worth knowing about, not worth overstating.