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Most of the scent molecules used in everyday consumer products are created by a relatively small number of specialised labs.

Those molecules are then sold to fragrance houses or cosmetics companies, which turn them into the perfumes, candles, skincare products, and flavoured goods we recognise on shelves.

So even though fragrance feels creative and personal, the industry behind it is highly concentrated.

A lot of what we smell is shaped by a small group of major international players.

But that may be starting to change.

Some innovators are now using advanced technology to rethink how scent molecules are discovered, designed, and brought to market.

Fragrance by Technology

Patina is an AI-driven fragrance technology company trying to change how new scents are created.

Instead of relying only on traditional chemistry and natural extraction, Patina uses machine learning, deep olfactory data, and biological receptor modelling to design sustainable, entirely new scent molecules.

One of the most interesting parts of its work is a foundation model called Sense1.

The goal is to replicate how scent receptors in the nose respond to different molecules, and eventually create what the company describes as a kind of “universal code” for smell and taste.

That could allow Patina to design molecules that have never been smelled before.

It also opens up another possibility: recreating familiar natural scents without needing the original natural material.

For example, Patina says its molecules can simulate the smell of rose oil at a biological level, mimicking the natural scent without relying on plant extraction.

In simple terms, Patina is using AI to explore smell as a design space — not just copying what already exists in nature, but potentially creating entirely new sensory experiences.

Thoughts💭

We often think of scent as something natural or artistic, but behind every perfume, candle, cosmetic product, or flavoured good is a lot of chemistry.

If AI can help design new scent molecules faster and more sustainably, that could open up a very different future for fragrance.

The sustainability angle is especially important.

If companies can recreate certain natural scents without needing large-scale plant extraction, it could reduce pressure on rare ingredients, farming, land use, and supply chains.

But there is also something slightly strange about the idea of “never-before-smelled” molecules.

Scent is emotional.

It is tied to memory, identity, culture, and personal experience.

So while AI may be able to design new molecules, the real test will be whether people actually connect with them.

Because in fragrance, technical novelty is not enough.

A scent still has to make people feel something.

How to stay ahead?

As AI moves into industries like fragrance, the advantage will not only belong to people who understand the science.

It will belong to those who can combine technology with taste.

Patina may make it easier to discover new scent molecules, recreate natural smells, and design fragrances more efficiently.

But AI alone cannot decide what people will love, what feels luxurious, or what creates an emotional connection.

That is where human creativity still matters.

For fragrance brands, perfumers, and creators, staying ahead means learning how to use AI as a creative partner rather than seeing it as a threat.

AI can help explore new possibilities, test ideas faster, and reduce reliance on limited natural ingredients.

But humans still need to shape the story, understand the customer, and decide what a scent should represent.

The future of fragrance may be powered by data and biology.

But the winners will be the people who know how to turn molecules into meaning.