Innovating the Science of Scent: Patina’s Revolutionary Approach
Fragrance tech startup Patina has recently secured $2 million in funding from prominent investors such as Betaworks and True Ventures. This influx of capital aims to propel the company’s mission of redefining how scent molecules are discovered and designed using cutting-edge molecular science, machine learning, and deep scent research.
Traditionally, the fragrance industry has relied on a handful of specialized laboratories to create scent molecules, which are then sold to fragrance houses or cosmetics brands. These brands craft the final products, from perfumes to scented candles. This ecosystem has remained relatively unchanged for over fifty years. Patina’s founders, however, are determined to disrupt this status quo by integrating advanced computational tools and biological insights to innovate the very building blocks of scent.
Founders’ Unique Expertise Fuels Innovation
Patina was founded by Sean Raspet, an artist and perfumer with a fascination for human sensory perception, and Laura Sisson, a software engineer with a background in food science. Their shared passion for the science of smell and taste began when they met at a scent art gallery in New York in 2024. Raspet was showcasing newly developed scent molecules, while Sisson was developing olfactory learning models. Their collaboration quickly revealed an opportunity to build tools that understand scent at a biological level.
“We started collaborating on research, and it became clear that the timing was right to finally build the tools to understand scent at the biological level,” Raspet told TechCrunch. “That felt like a company.”
Sense1: A Universal Code for Smell and Taste
Launched last year, Patina’s flagship project is a foundational model named Sense1. This system seeks to replicate the behavior of scent receptors in the human nose, aiming to establish the first universal code for smell and taste. Unlike the current imprecise language used in the fragrance industry—terms such as “floral” or “woody” that often vary by culture and region—Sense1 operates at the receptor level, enabling the design of novel molecules that can mimic rare natural scents or produce entirely new ones.
Patina is already in discussions with leading fragrance houses and fashion brands to co-create custom scents. This initiative taps into growing consumer demand for innovative, safer, and more expressive perfumes. Additionally, supply chain challenges, such as the increasing scarcity and cost of natural ingredients like rose oil, make synthetic alternatives more attractive. Patina’s molecular designs simulate natural scents with significantly lower environmental impact, reducing water usage and reliance on petrochemicals.
“These replications are less carbon-intensive than the original plant extract, consuming significantly less water and petrochemicals,” Raspet explained.
Changing the Landscape of Fragrance Development
Patina operates in a competitive yet nascent market alongside startups like Osmo and established giants such as Givaudan and Symrise. A significant barrier in the fragrance industry is intellectual property: while fragrance molecules can be patented, the formulas themselves cannot, allowing easy replication. This has historically favored large fragrance houses capable of sustaining costly R&D efforts.
However, AI-powered tools have lowered these barriers. Smaller companies like Patina can now develop bespoke scent molecules in weeks rather than years, expanding the creative palette for perfumers and flavorists of all sizes. “We think by expanding the palette, perfumers and flavorists at all scales will be able to develop and protect their signature style,” Raspet noted.
AI’s Broader Impact on Scent Science and Sustainability
Beyond molecule design, AI is transforming the fragrance industry by reducing the need for animal testing. Modern computational models can predict human-skin reactions with impressive accuracy, improving ethical standards within the sector. While the idea of decoding scent at a molecular level seemed far-fetched just five years ago, advances in AI have accelerated breakthroughs in understanding the biology of smell and taste.
The recent funding round has enabled Patina to expand from a modest backyard lab to a dedicated office in Bushwick, Brooklyn. With a growing team of chemists, the company is focusing on launching new molecules and securing strategic partnerships. Raspet emphasized the importance of data in training their models and highlighted ongoing collaborations with startups and academic laboratories to collect receptor activation data. He also pointed to computational simulations of molecule-receptor interactions as a key driver for scaling their technology.
A Vision for the Future: The Pantone of Scent
Patina’s long-term goal is ambitious: to create a “Pantone for scent,” a universal system akin to the color-matching standard used in design and manufacturing. This system would codify primary scent molecules from which any smell or flavor could be synthesized, revolutionizing how scents are created and shared across industries.
“The information has been there the whole time, waiting for the technology to catch up and a team with the right combination of expertise and obsession to unlock it,” Raspet said. “These ideas can now be made real, with Patina as the underlying intelligence layer.”
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